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<urlset xmlns="http://www.sitemaps.org/schemas/sitemap/0.9" xmlns:image="http://www.google.com/schemas/sitemap-image/1.1">
<url>
<loc>https://axionry.com</loc>
<image:image><image:loc>https://d2ufls9ug2ki79.cloudfront.net/uploaded/1787514441353-neeraj.png</image:loc><image:title>Neeraj Sharma, Founder of Axionry</image:title></image:image>
<image:image><image:loc>https://axionry.com/img/globe.jpg</image:loc><image:title>Axionry works with clients worldwide, a glowing network of connections across the globe</image:title></image:image>
<image:image><image:loc>https://axionry.com/img/diagrams/built-at-zero-how-you-pay.webp</image:loc><image:title>Diagram of how a build at $0 is paid for, in five steps: today, a 20-minute call and acceptance criteria in writing, at $0; a checkpoint is delivered and you see it working on your own accounts, still $0; you accept it, and nothing is invoiced before this; only the checkpoint you accepted is invoiced; the loop repeats for each checkpoint until launch, which includes handover and 30 days of defect correction.</image:title></image:image>
<image:image><image:loc>https://axionry.com/media/series/hover-bike-chase.webp</image:loc><image:title>A frame from a finished AI-animated episode: a boy on a hover bike with his robot flying alongside</image:title></image:image>
</url>
<url>
<loc>https://axionry.com/about</loc>
<image:image><image:loc>https://d2ufls9ug2ki79.cloudfront.net/uploaded/1787514441353-neeraj.png</image:loc><image:title>Neeraj Sharma, Founder of Axionry</image:title></image:image>
<image:image><image:loc>https://axionry.com/img/launch-day-team-toast.jpg</image:loc><image:title>Four founders raising coffee cups around an open laptop in a sunlit loft office on launch day</image:title></image:image>
</url>
<url>
<loc>https://axionry.com/services/private-llm-infrastructure</loc>
<image:image><image:loc>https://axionry.com/img/private-llm-gpu-rack.jpg</image:loc><image:title>A single GPU server lit in a dark data-centre aisle, the hardware a self-hosted model runs on</image:title></image:image>
<image:image><image:loc>https://axionry.com/img/diagrams/private-llm-architecture.webp</image:loc><image:title>Architecture diagram of a private LLM deployment inside your network: your application calls a backend gateway, which reaches a vLLM model server running an open-weights model on your GPU over a private encrypted network with no public endpoint. Every response passes a deterministic validation gate before it returns to the application. Secrets sit in a managed store, the model port is bound to a private interface, output is review-only, and third-party model APIs are not used.</image:title></image:image>
</url>
<url>
<loc>https://axionry.com/services/llm-security</loc>
<image:image><image:loc>https://axionry.com/img/model-serving-layer.jpg</image:loc><image:title>Close-up of a GPU processor with one illuminated path leading away, the private route between an application and its model</image:title></image:image>
<image:image><image:loc>https://axionry.com/img/diagrams/llm-security-ai-path.webp</image:loc><image:title>Diagram of securing the AI path end to end: an untrusted document is treated as data, never as instructions; the AI service runs with least privilege and no write credentials; the model enforces tenant isolation on every request; a validation gate rejects bad output rather than rendering it; only then does anything reach your users and database. A negative test suite lives in your repository alongside an audit log.</image:title></image:image>
</url>
<url>
<loc>https://axionry.com/services/cloud-cost-optimization</loc>
<image:image><image:loc>https://axionry.com/img/datacenter.jpg</image:loc><image:title>Modern data center infrastructure, the systems behind a $200K/yr cloud bill cut to under $1K/month</image:title></image:image>
<image:image><image:loc>https://axionry.com/img/diagrams/cloud-cost-waterfall.webp</image:loc><image:title>Waterfall chart of how a $200K a year cloud bill came down by more than 70 percent. From the full bill, four reductions step it down in order of impact: startup credits and commitments, architecture changes that remove per-request managed services, workload placement across AWS, Azure and GCP, and right-sizing with storage tiers, ending at a bar more than 70 percent lower. $300K in cloud credits were secured along the way.</image:title></image:image>
</url>
<url>
<loc>https://axionry.com/services/voice-ai-development</loc>
<image:image><image:loc>https://axionry.com/img/voice-ai-headset.jpg</image:loc><image:title>A headset resting on a desk at night, lit by a single band of light, the hardware behind a production voice agent</image:title></image:image>
<image:image><image:loc>https://axionry.com/img/diagrams/voice-agent-architecture.webp</image:loc><image:title>Architecture diagram of a production voice agent at 2.5 cents a minute: a caller reaches a SIP phone line connected to a LiveKit agent that runs speech to text, an LLM and text to speech in sequence and returns a spoken reply. The LLM calls tools for the calendar, the CRM and transfer to a person, and every call produces recordings, transcripts and QA scores. Production cost fell from 10 cents to 2.5 cents a minute.</image:title></image:image>
</url>
<url>
<loc>https://axionry.com/services/ai-product-development</loc>
<image:image><image:loc>https://axionry.com/img/team-watching-growth-chart.jpg</image:loc><image:title>A small team in a bright office watching a rising line on a wall screen, one of them with arms raised</image:title></image:image>
<image:image><image:loc>https://axionry.com/img/diagrams/orchestrated-ai-agents-mcp-harness.webp</image:loc><image:title>Architecture diagram of orchestrated AI agents with an MCP harness: a product on web, mobile or Slack sends a request to a central orchestrator that runs the flow step by step, consults a model router across Claude, GPT, Gemini and open-weights models, and hands work to a research agent, an action agent and a review agent. Every tool call passes through one MCP harness that enforces permissions, retries and logs before reaching the CRM, the database, email and calendar, or your internal API. Evals, tracing and replay, and cost per request run alongside.</image:title></image:image>
</url>
<url>
<loc>https://axionry.com/services/mvp-development</loc>
<image:image><image:loc>https://axionry.com/img/investor-pitch-live-demo.jpg</image:loc><image:title>A founder showing a working product on a laptop to two investors across a sunlit meeting-room table, both leaning in</image:title></image:image>
<image:image><image:loc>https://axionry.com/img/diagrams/mvp-six-week-timeline.webp</image:loc><image:title>Timeline of a production MVP built in six weeks and paid per checkpoint. Today costs $0. Week 1 locks scope and architecture; weeks 2 to 4 build the core product with a demo every week; week 5 adds sign in, billing, admin and analytics; week 6 hardens the product and hands it over, live on your own accounts. Each stage ends in a checkpoint that is accepted, then invoiced.</image:title></image:image>
</url>
<url>
<loc>https://axionry.com/services/dedicated-development-team</loc>
<image:image><image:loc>https://axionry.com/img/engineers-pair-building.jpg</image:loc><image:title>Two engineers building side by side at a standing desk, one pointing at code on a monitor while the other types</image:title></image:image>
<image:image><image:loc>https://axionry.com/img/diagrams/dedicated-team-pod.webp</image:loc><image:title>Team structure diagram of a lean senior pod led by the architect: you, the product owner, work directly with the architect, Neeraj Sharma, over Slack and a weekly demo. The architect leads three senior full-stack engineers. The work lives in your repo, on your cloud and against your roadmap, and the pod scales up or down each month.</image:title></image:image>
</url>
<url>
<loc>https://axionry.com/services/fractional-cto</loc>
<image:image><image:loc>https://axionry.com/img/founder-call-neeraj-sharma.jpg</image:loc><image:title>A founder on a video call with Neeraj Sharma, founder of Axionry, taking notes at a sunlit desk</image:title></image:image>
<image:image><image:loc>https://axionry.com/img/diagrams/fractional-cto-responsibilities.webp</image:loc><image:title>Hub and spoke diagram of what a fractional CTO owns for 10 to 20 hours a month: architecture decisions, hiring and team structure, cloud and AI costs, roadmap and delivery, security and compliance, and investor diligence readiness.</image:title></image:image>
</url>
<url>
<loc>https://axionry.com/services/technical-due-diligence</loc>
<image:image><image:loc>https://axionry.com/img/founder-relief-at-desk.jpg</image:loc><image:title>A founder sitting back from a laptop at a sunlit desk, visibly relieved after a review came back clean</image:title></image:image>
<image:image><image:loc>https://axionry.com/img/diagrams/technical-due-diligence-process.webp</image:loc><image:title>Process diagram of technical due diligence in five to seven days: time-boxed read-only access, then reviews of architecture and scalability, code quality and security, infrastructure cost, and AI defensibility, ending in a written report of findings, risks and the cost to fix them.</image:title></image:image>
</url>
<url>
<loc>https://axionry.com/services/engineering-hiring</loc>
<image:image><image:loc>https://axionry.com/img/team.jpg</image:loc><image:title>A hired engineering team standing in a modern office, refined candidates delivered end to end</image:title></image:image>
<image:image><image:loc>https://axionry.com/img/diagrams/engineering-hiring-drive.webp</image:loc><image:title>Funnel diagram of an engineering hiring drive owned end to end: sourcing, an AI screening interview, a real technical conversation, and a ranked short list with evidence, before your own final round and the offer. The AI interview layer behind it cut false-positive assessments by 70 percent in a case study published by Retell AI.</image:title></image:image>
</url>
<url>
<loc>https://axionry.com/lp/private-llm-us</loc>
<image:image><image:loc>https://axionry.com/img/private-llm-gpu-rack.jpg</image:loc><image:title>A single GPU server lit in a dark data-centre aisle, the hardware a self-hosted model runs on</image:title></image:image>
<image:image><image:loc>https://axionry.com/img/diagrams/private-llm-architecture.webp</image:loc><image:title>Architecture diagram of a private LLM deployment inside your network: your application calls a backend gateway, which reaches a vLLM model server running an open-weights model on your GPU over a private encrypted network with no public endpoint. Every response passes a deterministic validation gate before it returns to the application. Secrets sit in a managed store, the model port is bound to a private interface, output is review-only, and third-party model APIs are not used.</image:title></image:image>
</url>
<url>
<loc>https://axionry.com/lp/private-llm-uk</loc>
<image:image><image:loc>https://axionry.com/img/private-llm-gpu-rack.jpg</image:loc><image:title>A single GPU server lit in a dark data-centre aisle, the hardware a self-hosted model runs on</image:title></image:image>
<image:image><image:loc>https://axionry.com/img/diagrams/private-llm-architecture.webp</image:loc><image:title>Architecture diagram of a private LLM deployment inside your network: your application calls a backend gateway, which reaches a vLLM model server running an open-weights model on your GPU over a private encrypted network with no public endpoint. Every response passes a deterministic validation gate before it returns to the application. Secrets sit in a managed store, the model port is bound to a private interface, output is review-only, and third-party model APIs are not used.</image:title></image:image>
</url>
<url>
<loc>https://axionry.com/lp/private-llm-eu</loc>
<image:image><image:loc>https://axionry.com/img/private-llm-gpu-rack.jpg</image:loc><image:title>A single GPU server lit in a dark data-centre aisle, the hardware a self-hosted model runs on</image:title></image:image>
<image:image><image:loc>https://axionry.com/img/diagrams/private-llm-architecture.webp</image:loc><image:title>Architecture diagram of a private LLM deployment inside your network: your application calls a backend gateway, which reaches a vLLM model server running an open-weights model on your GPU over a private encrypted network with no public endpoint. Every response passes a deterministic validation gate before it returns to the application. Secrets sit in a managed store, the model port is bound to a private interface, output is review-only, and third-party model APIs are not used.</image:title></image:image>
</url>
<url>
<loc>https://axionry.com/lp/private-llm-canada</loc>
<image:image><image:loc>https://axionry.com/img/private-llm-gpu-rack.jpg</image:loc><image:title>A single GPU server lit in a dark data-centre aisle, the hardware a self-hosted model runs on</image:title></image:image>
<image:image><image:loc>https://axionry.com/img/diagrams/private-llm-architecture.webp</image:loc><image:title>Architecture diagram of a private LLM deployment inside your network: your application calls a backend gateway, which reaches a vLLM model server running an open-weights model on your GPU over a private encrypted network with no public endpoint. Every response passes a deterministic validation gate before it returns to the application. Secrets sit in a managed store, the model port is bound to a private interface, output is review-only, and third-party model APIs are not used.</image:title></image:image>
</url>
<url>
<loc>https://axionry.com/lp/private-llm-australia</loc>
<image:image><image:loc>https://axionry.com/img/private-llm-gpu-rack.jpg</image:loc><image:title>A single GPU server lit in a dark data-centre aisle, the hardware a self-hosted model runs on</image:title></image:image>
<image:image><image:loc>https://axionry.com/img/diagrams/private-llm-architecture.webp</image:loc><image:title>Architecture diagram of a private LLM deployment inside your network: your application calls a backend gateway, which reaches a vLLM model server running an open-weights model on your GPU over a private encrypted network with no public endpoint. Every response passes a deterministic validation gate before it returns to the application. Secrets sit in a managed store, the model port is bound to a private interface, output is review-only, and third-party model APIs are not used.</image:title></image:image>
</url>
<url>
<loc>https://axionry.com/lp/private-llm-india</loc>
<image:image><image:loc>https://axionry.com/img/private-llm-gpu-rack.jpg</image:loc><image:title>A single GPU server lit in a dark data-centre aisle, the hardware a self-hosted model runs on</image:title></image:image>
<image:image><image:loc>https://axionry.com/img/diagrams/private-llm-architecture.webp</image:loc><image:title>Architecture diagram of a private LLM deployment inside your network: your application calls a backend gateway, which reaches a vLLM model server running an open-weights model on your GPU over a private encrypted network with no public endpoint. Every response passes a deterministic validation gate before it returns to the application. Secrets sit in a managed store, the model port is bound to a private interface, output is review-only, and third-party model APIs are not used.</image:title></image:image>
</url>
<url>
<loc>https://axionry.com/lp/product-build-us</loc>
<image:image><image:loc>https://axionry.com/img/founders-launch-celebration.jpg</image:loc><image:title>Three founders around a laptop in a sunlit office, celebrating the moment their product went live</image:title></image:image>
<image:image><image:loc>https://axionry.com/img/diagrams/mvp-six-week-timeline.webp</image:loc><image:title>Timeline of a production MVP built in six weeks and paid per checkpoint. Today costs $0. Week 1 locks scope and architecture; weeks 2 to 4 build the core product with a demo every week; week 5 adds sign in, billing, admin and analytics; week 6 hardens the product and hands it over, live on your own accounts. Each stage ends in a checkpoint that is accepted, then invoiced.</image:title></image:image>
</url>
<url>
<loc>https://axionry.com/lp/product-build-uk</loc>
<image:image><image:loc>https://axionry.com/img/founders-launch-celebration.jpg</image:loc><image:title>Three founders around a laptop in a sunlit office, celebrating the moment their product went live</image:title></image:image>
<image:image><image:loc>https://axionry.com/img/diagrams/mvp-six-week-timeline.webp</image:loc><image:title>Timeline of a production MVP built in six weeks and paid per checkpoint. Today costs $0. Week 1 locks scope and architecture; weeks 2 to 4 build the core product with a demo every week; week 5 adds sign in, billing, admin and analytics; week 6 hardens the product and hands it over, live on your own accounts. Each stage ends in a checkpoint that is accepted, then invoiced.</image:title></image:image>
</url>
<url>
<loc>https://axionry.com/lp/product-build-eu</loc>
<image:image><image:loc>https://axionry.com/img/founders-launch-celebration.jpg</image:loc><image:title>Three founders around a laptop in a sunlit office, celebrating the moment their product went live</image:title></image:image>
<image:image><image:loc>https://axionry.com/img/diagrams/mvp-six-week-timeline.webp</image:loc><image:title>Timeline of a production MVP built in six weeks and paid per checkpoint. Today costs $0. Week 1 locks scope and architecture; weeks 2 to 4 build the core product with a demo every week; week 5 adds sign in, billing, admin and analytics; week 6 hardens the product and hands it over, live on your own accounts. Each stage ends in a checkpoint that is accepted, then invoiced.</image:title></image:image>
</url>
<url>
<loc>https://axionry.com/lp/product-build-canada</loc>
<image:image><image:loc>https://axionry.com/img/founders-launch-celebration.jpg</image:loc><image:title>Three founders around a laptop in a sunlit office, celebrating the moment their product went live</image:title></image:image>
<image:image><image:loc>https://axionry.com/img/diagrams/mvp-six-week-timeline.webp</image:loc><image:title>Timeline of a production MVP built in six weeks and paid per checkpoint. Today costs $0. Week 1 locks scope and architecture; weeks 2 to 4 build the core product with a demo every week; week 5 adds sign in, billing, admin and analytics; week 6 hardens the product and hands it over, live on your own accounts. Each stage ends in a checkpoint that is accepted, then invoiced.</image:title></image:image>
</url>
<url>
<loc>https://axionry.com/lp/product-build-australia</loc>
<image:image><image:loc>https://axionry.com/img/founders-launch-celebration.jpg</image:loc><image:title>Three founders around a laptop in a sunlit office, celebrating the moment their product went live</image:title></image:image>
<image:image><image:loc>https://axionry.com/img/diagrams/mvp-six-week-timeline.webp</image:loc><image:title>Timeline of a production MVP built in six weeks and paid per checkpoint. Today costs $0. Week 1 locks scope and architecture; weeks 2 to 4 build the core product with a demo every week; week 5 adds sign in, billing, admin and analytics; week 6 hardens the product and hands it over, live on your own accounts. Each stage ends in a checkpoint that is accepted, then invoiced.</image:title></image:image>
</url>
<url>
<loc>https://axionry.com/lp/product-build-india</loc>
<image:image><image:loc>https://axionry.com/img/founders-launch-celebration.jpg</image:loc><image:title>Three founders around a laptop in a sunlit office, celebrating the moment their product went live</image:title></image:image>
<image:image><image:loc>https://axionry.com/img/diagrams/mvp-six-week-timeline.webp</image:loc><image:title>Timeline of a production MVP built in six weeks and paid per checkpoint. Today costs $0. Week 1 locks scope and architecture; weeks 2 to 4 build the core product with a demo every week; week 5 adds sign in, billing, admin and analytics; week 6 hardens the product and hands it over, live on your own accounts. Each stage ends in a checkpoint that is accepted, then invoiced.</image:title></image:image>
</url>
<url>
<loc>https://axionry.com/lp/fractional-cto-us</loc>
<image:image><image:loc>https://axionry.com/img/founder-call-neeraj-sharma.jpg</image:loc><image:title>A founder on a video call with Neeraj Sharma, founder of Axionry, taking notes at a sunlit desk</image:title></image:image>
<image:image><image:loc>https://axionry.com/img/diagrams/fractional-cto-responsibilities.webp</image:loc><image:title>Hub and spoke diagram of what a fractional CTO owns for 10 to 20 hours a month: architecture decisions, hiring and team structure, cloud and AI costs, roadmap and delivery, security and compliance, and investor diligence readiness.</image:title></image:image>
</url>
<url>
<loc>https://axionry.com/lp/fractional-cto-uk</loc>
<image:image><image:loc>https://axionry.com/img/founder-call-neeraj-sharma.jpg</image:loc><image:title>A founder on a video call with Neeraj Sharma, founder of Axionry, taking notes at a sunlit desk</image:title></image:image>
<image:image><image:loc>https://axionry.com/img/diagrams/fractional-cto-responsibilities.webp</image:loc><image:title>Hub and spoke diagram of what a fractional CTO owns for 10 to 20 hours a month: architecture decisions, hiring and team structure, cloud and AI costs, roadmap and delivery, security and compliance, and investor diligence readiness.</image:title></image:image>
</url>
<url>
<loc>https://axionry.com/lp/fractional-cto-eu</loc>
<image:image><image:loc>https://axionry.com/img/founder-call-neeraj-sharma.jpg</image:loc><image:title>A founder on a video call with Neeraj Sharma, founder of Axionry, taking notes at a sunlit desk</image:title></image:image>
<image:image><image:loc>https://axionry.com/img/diagrams/fractional-cto-responsibilities.webp</image:loc><image:title>Hub and spoke diagram of what a fractional CTO owns for 10 to 20 hours a month: architecture decisions, hiring and team structure, cloud and AI costs, roadmap and delivery, security and compliance, and investor diligence readiness.</image:title></image:image>
</url>
<url>
<loc>https://axionry.com/lp/fractional-cto-canada</loc>
<image:image><image:loc>https://axionry.com/img/founder-call-neeraj-sharma.jpg</image:loc><image:title>A founder on a video call with Neeraj Sharma, founder of Axionry, taking notes at a sunlit desk</image:title></image:image>
<image:image><image:loc>https://axionry.com/img/diagrams/fractional-cto-responsibilities.webp</image:loc><image:title>Hub and spoke diagram of what a fractional CTO owns for 10 to 20 hours a month: architecture decisions, hiring and team structure, cloud and AI costs, roadmap and delivery, security and compliance, and investor diligence readiness.</image:title></image:image>
</url>
<url>
<loc>https://axionry.com/lp/fractional-cto-australia</loc>
<image:image><image:loc>https://axionry.com/img/founder-call-neeraj-sharma.jpg</image:loc><image:title>A founder on a video call with Neeraj Sharma, founder of Axionry, taking notes at a sunlit desk</image:title></image:image>
<image:image><image:loc>https://axionry.com/img/diagrams/fractional-cto-responsibilities.webp</image:loc><image:title>Hub and spoke diagram of what a fractional CTO owns for 10 to 20 hours a month: architecture decisions, hiring and team structure, cloud and AI costs, roadmap and delivery, security and compliance, and investor diligence readiness.</image:title></image:image>
</url>
<url>
<loc>https://axionry.com/lp/fractional-cto-india</loc>
<image:image><image:loc>https://axionry.com/img/founder-call-neeraj-sharma.jpg</image:loc><image:title>A founder on a video call with Neeraj Sharma, founder of Axionry, taking notes at a sunlit desk</image:title></image:image>
<image:image><image:loc>https://axionry.com/img/diagrams/fractional-cto-responsibilities.webp</image:loc><image:title>Hub and spoke diagram of what a fractional CTO owns for 10 to 20 hours a month: architecture decisions, hiring and team structure, cloud and AI costs, roadmap and delivery, security and compliance, and investor diligence readiness.</image:title></image:image>
</url>
<url>
<loc>https://axionry.com/services/ai-data-analyst</loc>
<image:image><image:loc>https://axionry.com/img/diagrams/ai-data-analyst-read-only.webp</image:loc><image:title>Architecture diagram of an AI data analyst that can only read: a question asked in Claude or ChatGPT goes to an MCP server running in your cloud, through a semantic layer of your metrics and definitions, into generated SQL, then a validation step that enforces read-only access, row limits and cited numbers, before it reaches a read-only replica. The answer returns with the numbers cited, and a write is refused by the database itself.</image:title></image:image>
</url>
<url>
<loc>https://axionry.com/services/healthcare-ai-development</loc>
<image:image><image:loc>https://axionry.com/img/diagrams/healthcare-ai-private-environment.webp</image:loc><image:title>Architecture diagram of healthcare AI where patient data stays in your environment: patient records from the EHR over FHIR go to a private model server inside your cloud or data center, then to a validation gate that rejects a malformed clinical answer, then to clinician review that is review-only, with nothing applied automatically. Synthetic data is used during the build, access is named and limited and removed at handover, and third-party model APIs are not used.</image:title></image:image>
</url>
<url>
<loc>https://axionry.com/services/ai-for-accounting-firms</loc>
<image:image><image:loc>https://axionry.com/img/diagrams/accounting-ai-validation.webp</image:loc><image:title>Architecture diagram of accounting AI that checks every number against the source: client documents such as invoices, statements and receipts go to an extraction model, then to deterministic validation that checks totals reconcile and every figure traces to its source. Reconciled items are ready for a reviewer, items that do not reconcile are flagged as needing review, and an accountant approves both. The model can run inside your own infrastructure.</image:title></image:image>
</url>
<url>
<loc>https://axionry.com/services/legacy-modernization</loc>
<image:image><image:loc>https://axionry.com/img/diagrams/legacy-modernization-phases.webp</image:loc><image:title>Diagram of modernization that reduces what you run: a dense cluster of legacy services with a high run rate goes through an assessment of inventory, costs and removal candidates, then three phases, each re-architected behind the existing interface, ending in a small set of services with a lower run rate. You can stop after any phase and keep the gains; the same approach took an engineering org from 20 people to 7 and $60K to $12K a month.</image:title></image:image>
</url>
<url>
<loc>https://axionry.com/lp/ai-analyst-us</loc>
<image:image><image:loc>https://axionry.com/img/diagrams/ai-data-analyst-read-only.webp</image:loc><image:title>Architecture diagram of an AI data analyst that can only read: a question asked in Claude or ChatGPT goes to an MCP server running in your cloud, through a semantic layer of your metrics and definitions, into generated SQL, then a validation step that enforces read-only access, row limits and cited numbers, before it reaches a read-only replica. The answer returns with the numbers cited, and a write is refused by the database itself.</image:title></image:image>
</url>
<url>
<loc>https://axionry.com/lp/ai-analyst-uk</loc>
<image:image><image:loc>https://axionry.com/img/diagrams/ai-data-analyst-read-only.webp</image:loc><image:title>Architecture diagram of an AI data analyst that can only read: a question asked in Claude or ChatGPT goes to an MCP server running in your cloud, through a semantic layer of your metrics and definitions, into generated SQL, then a validation step that enforces read-only access, row limits and cited numbers, before it reaches a read-only replica. The answer returns with the numbers cited, and a write is refused by the database itself.</image:title></image:image>
</url>
<url>
<loc>https://axionry.com/lp/ai-analyst-eu</loc>
<image:image><image:loc>https://axionry.com/img/diagrams/ai-data-analyst-read-only.webp</image:loc><image:title>Architecture diagram of an AI data analyst that can only read: a question asked in Claude or ChatGPT goes to an MCP server running in your cloud, through a semantic layer of your metrics and definitions, into generated SQL, then a validation step that enforces read-only access, row limits and cited numbers, before it reaches a read-only replica. The answer returns with the numbers cited, and a write is refused by the database itself.</image:title></image:image>
</url>
<url>
<loc>https://axionry.com/lp/ai-analyst-canada</loc>
<image:image><image:loc>https://axionry.com/img/diagrams/ai-data-analyst-read-only.webp</image:loc><image:title>Architecture diagram of an AI data analyst that can only read: a question asked in Claude or ChatGPT goes to an MCP server running in your cloud, through a semantic layer of your metrics and definitions, into generated SQL, then a validation step that enforces read-only access, row limits and cited numbers, before it reaches a read-only replica. The answer returns with the numbers cited, and a write is refused by the database itself.</image:title></image:image>
</url>
<url>
<loc>https://axionry.com/lp/ai-analyst-australia</loc>
<image:image><image:loc>https://axionry.com/img/diagrams/ai-data-analyst-read-only.webp</image:loc><image:title>Architecture diagram of an AI data analyst that can only read: a question asked in Claude or ChatGPT goes to an MCP server running in your cloud, through a semantic layer of your metrics and definitions, into generated SQL, then a validation step that enforces read-only access, row limits and cited numbers, before it reaches a read-only replica. The answer returns with the numbers cited, and a write is refused by the database itself.</image:title></image:image>
</url>
<url>
<loc>https://axionry.com/lp/ai-analyst-india</loc>
<image:image><image:loc>https://axionry.com/img/diagrams/ai-data-analyst-read-only.webp</image:loc><image:title>Architecture diagram of an AI data analyst that can only read: a question asked in Claude or ChatGPT goes to an MCP server running in your cloud, through a semantic layer of your metrics and definitions, into generated SQL, then a validation step that enforces read-only access, row limits and cited numbers, before it reaches a read-only replica. The answer returns with the numbers cited, and a write is refused by the database itself.</image:title></image:image>
</url>
<url>
<loc>https://axionry.com/lp/ai-analyst-uae</loc>
<image:image><image:loc>https://axionry.com/img/diagrams/ai-data-analyst-read-only.webp</image:loc><image:title>Architecture diagram of an AI data analyst that can only read: a question asked in Claude or ChatGPT goes to an MCP server running in your cloud, through a semantic layer of your metrics and definitions, into generated SQL, then a validation step that enforces read-only access, row limits and cited numbers, before it reaches a read-only replica. The answer returns with the numbers cited, and a write is refused by the database itself.</image:title></image:image>
</url>
<url>
<loc>https://axionry.com/lp/ai-analyst-saudi</loc>
<image:image><image:loc>https://axionry.com/img/diagrams/ai-data-analyst-read-only.webp</image:loc><image:title>Architecture diagram of an AI data analyst that can only read: a question asked in Claude or ChatGPT goes to an MCP server running in your cloud, through a semantic layer of your metrics and definitions, into generated SQL, then a validation step that enforces read-only access, row limits and cited numbers, before it reaches a read-only replica. The answer returns with the numbers cited, and a write is refused by the database itself.</image:title></image:image>
</url>
<url>
<loc>https://axionry.com/lp/ai-analyst-kuwait</loc>
<image:image><image:loc>https://axionry.com/img/diagrams/ai-data-analyst-read-only.webp</image:loc><image:title>Architecture diagram of an AI data analyst that can only read: a question asked in Claude or ChatGPT goes to an MCP server running in your cloud, through a semantic layer of your metrics and definitions, into generated SQL, then a validation step that enforces read-only access, row limits and cited numbers, before it reaches a read-only replica. The answer returns with the numbers cited, and a write is refused by the database itself.</image:title></image:image>
</url>
<url>
<loc>https://axionry.com/lp/ai-analyst-qatar</loc>
<image:image><image:loc>https://axionry.com/img/diagrams/ai-data-analyst-read-only.webp</image:loc><image:title>Architecture diagram of an AI data analyst that can only read: a question asked in Claude or ChatGPT goes to an MCP server running in your cloud, through a semantic layer of your metrics and definitions, into generated SQL, then a validation step that enforces read-only access, row limits and cited numbers, before it reaches a read-only replica. The answer returns with the numbers cited, and a write is refused by the database itself.</image:title></image:image>
</url>
<url>
<loc>https://axionry.com/lp/ai-dev-company-us</loc>
<image:image><image:loc>https://axionry.com/img/diagrams/orchestrated-ai-agents-mcp-harness.webp</image:loc><image:title>Architecture diagram of orchestrated AI agents with an MCP harness: a product on web, mobile or Slack sends a request to a central orchestrator that runs the flow step by step, consults a model router across Claude, GPT, Gemini and open-weights models, and hands work to a research agent, an action agent and a review agent. Every tool call passes through one MCP harness that enforces permissions, retries and logs before reaching the CRM, the database, email and calendar, or your internal API. Evals, tracing and replay, and cost per request run alongside.</image:title></image:image>
</url>
<url>
<loc>https://axionry.com/lp/ai-dev-company-uk</loc>
<image:image><image:loc>https://axionry.com/img/diagrams/orchestrated-ai-agents-mcp-harness.webp</image:loc><image:title>Architecture diagram of orchestrated AI agents with an MCP harness: a product on web, mobile or Slack sends a request to a central orchestrator that runs the flow step by step, consults a model router across Claude, GPT, Gemini and open-weights models, and hands work to a research agent, an action agent and a review agent. Every tool call passes through one MCP harness that enforces permissions, retries and logs before reaching the CRM, the database, email and calendar, or your internal API. Evals, tracing and replay, and cost per request run alongside.</image:title></image:image>
</url>
<url>
<loc>https://axionry.com/lp/ai-dev-company-eu</loc>
<image:image><image:loc>https://axionry.com/img/diagrams/orchestrated-ai-agents-mcp-harness.webp</image:loc><image:title>Architecture diagram of orchestrated AI agents with an MCP harness: a product on web, mobile or Slack sends a request to a central orchestrator that runs the flow step by step, consults a model router across Claude, GPT, Gemini and open-weights models, and hands work to a research agent, an action agent and a review agent. Every tool call passes through one MCP harness that enforces permissions, retries and logs before reaching the CRM, the database, email and calendar, or your internal API. Evals, tracing and replay, and cost per request run alongside.</image:title></image:image>
</url>
<url>
<loc>https://axionry.com/lp/ai-dev-company-canada</loc>
<image:image><image:loc>https://axionry.com/img/diagrams/orchestrated-ai-agents-mcp-harness.webp</image:loc><image:title>Architecture diagram of orchestrated AI agents with an MCP harness: a product on web, mobile or Slack sends a request to a central orchestrator that runs the flow step by step, consults a model router across Claude, GPT, Gemini and open-weights models, and hands work to a research agent, an action agent and a review agent. Every tool call passes through one MCP harness that enforces permissions, retries and logs before reaching the CRM, the database, email and calendar, or your internal API. Evals, tracing and replay, and cost per request run alongside.</image:title></image:image>
</url>
<url>
<loc>https://axionry.com/lp/ai-dev-company-australia</loc>
<image:image><image:loc>https://axionry.com/img/diagrams/orchestrated-ai-agents-mcp-harness.webp</image:loc><image:title>Architecture diagram of orchestrated AI agents with an MCP harness: a product on web, mobile or Slack sends a request to a central orchestrator that runs the flow step by step, consults a model router across Claude, GPT, Gemini and open-weights models, and hands work to a research agent, an action agent and a review agent. Every tool call passes through one MCP harness that enforces permissions, retries and logs before reaching the CRM, the database, email and calendar, or your internal API. Evals, tracing and replay, and cost per request run alongside.</image:title></image:image>
</url>
<url>
<loc>https://axionry.com/lp/ai-dev-company-india</loc>
<image:image><image:loc>https://axionry.com/img/diagrams/orchestrated-ai-agents-mcp-harness.webp</image:loc><image:title>Architecture diagram of orchestrated AI agents with an MCP harness: a product on web, mobile or Slack sends a request to a central orchestrator that runs the flow step by step, consults a model router across Claude, GPT, Gemini and open-weights models, and hands work to a research agent, an action agent and a review agent. Every tool call passes through one MCP harness that enforces permissions, retries and logs before reaching the CRM, the database, email and calendar, or your internal API. Evals, tracing and replay, and cost per request run alongside.</image:title></image:image>
</url>
<url>
<loc>https://axionry.com/lp/ai-dev-company-uae</loc>
<image:image><image:loc>https://axionry.com/img/diagrams/orchestrated-ai-agents-mcp-harness.webp</image:loc><image:title>Architecture diagram of orchestrated AI agents with an MCP harness: a product on web, mobile or Slack sends a request to a central orchestrator that runs the flow step by step, consults a model router across Claude, GPT, Gemini and open-weights models, and hands work to a research agent, an action agent and a review agent. Every tool call passes through one MCP harness that enforces permissions, retries and logs before reaching the CRM, the database, email and calendar, or your internal API. Evals, tracing and replay, and cost per request run alongside.</image:title></image:image>
</url>
<url>
<loc>https://axionry.com/lp/ai-dev-company-saudi</loc>
<image:image><image:loc>https://axionry.com/img/diagrams/orchestrated-ai-agents-mcp-harness.webp</image:loc><image:title>Architecture diagram of orchestrated AI agents with an MCP harness: a product on web, mobile or Slack sends a request to a central orchestrator that runs the flow step by step, consults a model router across Claude, GPT, Gemini and open-weights models, and hands work to a research agent, an action agent and a review agent. Every tool call passes through one MCP harness that enforces permissions, retries and logs before reaching the CRM, the database, email and calendar, or your internal API. Evals, tracing and replay, and cost per request run alongside.</image:title></image:image>
</url>
<url>
<loc>https://axionry.com/lp/ai-dev-company-kuwait</loc>
<image:image><image:loc>https://axionry.com/img/diagrams/orchestrated-ai-agents-mcp-harness.webp</image:loc><image:title>Architecture diagram of orchestrated AI agents with an MCP harness: a product on web, mobile or Slack sends a request to a central orchestrator that runs the flow step by step, consults a model router across Claude, GPT, Gemini and open-weights models, and hands work to a research agent, an action agent and a review agent. Every tool call passes through one MCP harness that enforces permissions, retries and logs before reaching the CRM, the database, email and calendar, or your internal API. Evals, tracing and replay, and cost per request run alongside.</image:title></image:image>
</url>
<url>
<loc>https://axionry.com/lp/ai-dev-company-qatar</loc>
<image:image><image:loc>https://axionry.com/img/diagrams/orchestrated-ai-agents-mcp-harness.webp</image:loc><image:title>Architecture diagram of orchestrated AI agents with an MCP harness: a product on web, mobile or Slack sends a request to a central orchestrator that runs the flow step by step, consults a model router across Claude, GPT, Gemini and open-weights models, and hands work to a research agent, an action agent and a review agent. Every tool call passes through one MCP harness that enforces permissions, retries and logs before reaching the CRM, the database, email and calendar, or your internal API. Evals, tracing and replay, and cost per request run alongside.</image:title></image:image>
</url>
<url>
<loc>https://axionry.com/tools/ai-product-cost-estimator</loc>
<image:image><image:loc>https://axionry.com/img/diagrams/built-at-zero-how-you-pay.webp</image:loc><image:title>Diagram of how a build at $0 is paid for, in five steps: today, a 20-minute call and acceptance criteria in writing, at $0; a checkpoint is delivered and you see it working on your own accounts, still $0; you accept it, and nothing is invoiced before this; only the checkpoint you accepted is invoiced; the loop repeats for each checkpoint until launch, which includes handover and 30 days of defect correction.</image:title></image:image>
<image:image><image:loc>https://axionry.com/img/diagrams/orchestrated-ai-agents-mcp-harness.webp</image:loc><image:title>Architecture diagram of orchestrated AI agents with an MCP harness: a product on web, mobile or Slack sends a request to a central orchestrator that runs the flow step by step, consults a model router across Claude, GPT, Gemini and open-weights models, and hands work to a research agent, an action agent and a review agent. Every tool call passes through one MCP harness that enforces permissions, retries and logs before reaching the CRM, the database, email and calendar, or your internal API. Evals, tracing and replay, and cost per request run alongside.</image:title></image:image>
</url>
<url>
<loc>https://axionry.com/blog/build-ai-agent-orchestrator-mcp-harness</loc>
<image:image><image:loc>https://axionry.com/img/diagrams/build-ai-agent-orchestrator-mcp-harness.webp</image:loc><image:title>Architecture diagram of an AI ops agent for refund tickets. A Support ticket box sends a new ticket to the Orchestrator, which owns plan and state. The Orchestrator calls three specialist agents: Triage agent on Haiku 4.5, Order agent on Sonnet 5 and Reply agent on Sonnet 5. The Order agent sends get_order, the Reply agent sends post_draft and the Orchestrator sends refund_create, all into the MCP harness, which holds scopes, caps, approvals and logs. The MCP harness calls the Shopify Admin API and the Helpdesk API with scoped tokens and sends refunds over $50 to a Human approval box that returns approve or deny. The Orchestrator and the MCP harness both write to a Run journal.</image:title></image:image>
</url>
<url>
<loc>https://axionry.com/blog/ai-agents-worth-building-2026</loc>
<image:image><image:loc>https://axionry.com/img/diagrams/ai-agents-worth-building-2026.webp</image:loc><image:title>Diagram of four AI agent architectures and the business agents that use each. Teal boxes across the top show the architectures: Workflow agent with fixed steps and models inside, Tool-using agent with one model and a few tools, Orchestrator that owns plan and state, and Lead agent that runs parallel subagents. Below the Orchestrator sits the MCP harness, which checks every tool call. Violet boxes along the bottom show the agents: Document processing and Voice receptionist point to Workflow agent, Data analyst and Coding and QA point to Tool-using agent, Support resolution and Back-office ops point to Orchestrator, and Research agent points to Lead agent. Chips mark 4x chat tokens on Tool-using agent and 15x chat tokens on Lead agent.</image:title></image:image>
</url>
<url>
<loc>https://axionry.com/blog/private-chatgpt-on-your-own-gpus</loc>
<image:image><image:loc>https://axionry.com/img/diagrams/private-chatgpt-on-your-own-gpus.webp</image:loc><image:title>Architecture diagram of a private ChatGPT inside one company boundary. Employees sign in through an identity provider, which passes a token and groups to the chat UI. The chat UI sends each question to a retrieval service that runs a permission-aware search over a vector store; company documents flow through an embedding model into that vector store. The chat UI then calls an LLM gateway, which checks input and output with a guardrail model, forwards the request to an inference server running vLLM or SGLang, and writes every request to an audit store. The inference server loads an open-weights model, which runs on a GPU pool.</image:title></image:image>
</url>
<url>
<loc>https://axionry.com/blog/launch-your-own-branded-ai-model</loc>
<image:image><image:loc>https://axionry.com/img/diagrams/launch-your-own-branded-ai-model.webp</image:loc><image:title>Architecture diagram of a branded model service in two halves. On the training side, your domain data passes through a data pipeline that cleans it and removes personal data, and an optional teacher model adds synthetic answers for distillation. The pipeline's training set and a licensed base model with Apache 2.0 or MIT weights feed a fine-tuning job. Its candidate goes to an eval harness, which publishes scores to the model card and, if the candidate passes the release gate, stores it in the model registry. On the serving side, the registry deploys to an inference server running vLLM as acme-1. Customer apps call the branded API, which checks requests with a guardrail model and forwards them to the inference server.</image:title></image:image>
</url>
<url>
<loc>https://axionry.com/blog/self-host-ai-video-generation-model</loc>
<image:image><image:loc>https://axionry.com/img/diagrams/self-host-ai-video-generation-model.webp</image:loc><image:title>Architecture of a self-hosted video generation feature in three rows. Your app sends a job to API gateway, then Prompt policy, then Job queue. GPU workers pull jobs by priority and load pinned weights from Model registry. GPU workers send frames to Post-process, which sends sampled frames to Output check; passing clips go to C2PA signer and then, as signed MP4 files, to Storage and CDN. GPU workers also write GPU-seconds and cost to Job ledger, which triggers Status webhook to tell Your app the clip is done, with a signed URL. Application steps are violet; queue, workers, registry, post-processing, storage and ledger are teal.</image:title></image:image>
</url>
<url>
<loc>https://axionry.com/blog/self-host-ai-image-generation-model</loc>
<image:image><image:loc>https://axionry.com/img/diagrams/self-host-ai-image-generation-model.webp</image:loc><image:title>Architecture of a self-hosted image generation feature. Your app sends a generate request to API gateway, which looks up a hash in Result cache; a hit returns the stored image URL straight to Your app. On a miss the request passes Prompt policy, enters Job queue and reaches GPU workers as a batch of four, with the brand adapter loaded from LoRA registry. GPU workers write seed and cost to Image ledger and send four images to Output check; passing images go to C2PA signer, then as signed WebP files to Storage and CDN, which returns signed URLs to Your app and stores the cache key. Application steps are violet; data and infrastructure are teal.</image:title></image:image>
</url>
<url>
<loc>https://axionry.com/blog/ai-voice-agent-for-pre-sales-calls</loc>
<image:image><image:loc>https://axionry.com/img/diagrams/ai-voice-agent-for-pre-sales-calls.webp</image:loc><image:title>Architecture diagram of an AI pre-sales voice agent. A Web Form box with a consent checkbox sends a form-submitted arrow to a CRM Trigger box, which passes the lead event to a Compliance Gate checking consent, do-not-call status and calling hours. A cleared-to-call arrow leads to the Dialer, LiveKit SIP over Twilio or Telnyx, and an answered arrow to the Voice Pipeline of speech-to-text, language model, text-to-speech and turn detection. The pipeline exchanges slots with the Qualification State Machine, which asks the Knowledge Base for approved answers and routes qualified leads to Calendar Booking or hot leads to Warm Transfer. Both send the outcome to CRM Write-back, and every call flows to Recordings and QA.</image:title></image:image>
</url>
<url>
<loc>https://axionry.com/blog/ai-call-center-agent-thousands-of-calls</loc>
<image:image><image:loc>https://axionry.com/img/diagrams/ai-call-center-agent-thousands-of-calls.webp</image:loc><image:title>Architecture diagram of an AI call center agent handling thousands of calls a day. Callers reach SIP Trunks, then an Admission Control box that sends calls under capacity to the LiveKit Media Server and calls over capacity to the Human Queue as overflow or a callback. The media server dispatches each call to the Agent Worker Pool, which reads and writes per-call state in a Session State Store and runs the Voice Pipeline. The pipeline sends questions to Knowledge Retrieval, whose top passages pass through a Grounding Check before an answer is spoken, and makes tool calls to Order and Booking Tools. Ungrounded answers go to the Human Queue, and workers report per-call metrics to Monitoring.</image:title></image:image>
</url>
<url>
<loc>https://axionry.com/blog/ai-voice-agent-payment-reminders-loan-collections</loc>
<image:image><image:loc>https://axionry.com/img/diagrams/ai-voice-agent-payment-reminders-loan-collections.webp</image:loc><image:title>Architecture diagram of an AI payment reminder and collections voice agent. A Campaign Scheduler passes the next account to a Compliance Gate checking calling hours, the seven-in-seven counter and cease flags. Allowed calls go to the Dialer, a SIP trunk with answering machine detection, and answered calls to the Voice Agent, which asks Identity Verification whether the right party is on the line. Once verified, Conversation Policy decides: pay now triggers a Payment Link by SMS or WhatsApp, the Payment Gateway sends a paid webhook to the LMS and CRM, promises to pay go there too, and disputes or hardship go to Human Specialists. The LMS and CRM feed suppressions back to the scheduler, and every call is stored in Recording and Audit.</image:title></image:image>
</url>
<url>
<loc>https://axionry.com/blog/how-to-build-an-ai-interviewer</loc>
<image:image><image:loc>https://axionry.com/img/diagrams/how-to-build-an-ai-interviewer.webp</image:loc><image:title>Architecture of an AI interviewer. The ATS sends an invite link to a consent screen covering AI disclosure, recording and accommodations, and the candidate joins the voice pipeline of speech to text, a fast language model and text to speech. The pipeline streams each answer to the interview planner, a state machine that reads questions and probes from the question bank and rubric and returns the next move. The workspace runs code in a code sandbox and, with the voice pipeline and integrity signals, writes to one event timeline. The scoring service reads the full transcript and the rubric anchors and sends scores with quotes to recruiter review, whose human decision goes back to the ATS.</image:title></image:image>
</url>
<url>
<loc>https://axionry.com/blog/how-to-build-an-ai-tutor</loc>
<image:image><image:loc>https://axionry.com/img/diagrams/how-to-build-an-ai-tutor.webp</image:loc><image:title>Architecture of an AI tutor. The learner app, which uses a voice pipeline for speech in and out, sends each message or attempt to the tutor policy. The policy reads mastery from the learner model, fetches the lesson and worked solution from the course index, and passes the allowed move to the model router. The router sends its draft reply to the leak guard, which returns approved replies to the learner app and sends rejected drafts back to the router for a rewrite. The learner app writes attempts to the event store, which updates the learner model and feeds the teacher dashboard. The tutor policy sends stuck or unsafe conversations to TA escalation.</image:title></image:image>
</url>
<url>
<loc>https://axionry.com/blog/voice-ai-agent-use-cases</loc>
<image:image><image:loc>https://axionry.com/img/diagrams/voice-ai-agent-use-cases.webp</image:loc><image:title>Shared architecture of a voice AI agent. A caller or learner connects by phone or browser through telephony or WebRTC, and in the first seconds passes the consent and disclosure step before reaching the voice pipeline of speech to text, a language model and text to speech. The voice pipeline exchanges turns with the conversation policy, which sends allowed actions through a tool gateway that reads and writes systems of record such as calendars, CRMs, orders and payments, and routes anything out of policy to a human handoff. The voice pipeline writes transcript, cost and consent to a call log, which feeds an outcome dashboard for each use case.</image:title></image:image>
</url>
<url>
<loc>https://axionry.com/build/ai-receptionist</loc>
<image:image><image:loc>https://axionry.com/img/products/ai-receptionist.webp</image:loc><image:title>Desktop screenshot of the Callwren web portal, an example of a finished AI receptionist: the calls dashboard screen for Maple Dental. Today's calls answered, booked and transferred, calls by hour, and a list of recent calls with outcomes.</image:title></image:image>
<image:image><image:loc>https://axionry.com/img/products/ai-receptionist-site.webp</image:loc><image:title>Full-page desktop screenshot of the Callwren website: a navigation bar, a hero with the headline 'Every call answered. Every slot booked.' and a Book a demo button, feature cards for answers on the first ring, books, moves and cancels, answers from your information and warm transfer with a summary, a three-step how it works section (a call comes in, it listens and understands, it answers or acts), pricing plans, an FAQ and a footer.</image:title></image:image>
</url>
<url>
<loc>https://axionry.com/build/ai-voice-agent</loc>
<image:image><image:loc>https://axionry.com/img/products/ai-voice-agent.webp</image:loc><image:title>Desktop screenshot of the Voxlane web portal, an example of a finished AI voice agent: the calls and analytics screen for Brightwater Auto Care. The week's calls, resolution and transfer rates, average cost per call and recent calls by intent.</image:title></image:image>
<image:image><image:loc>https://axionry.com/img/products/ai-voice-agent-site.webp</image:loc><image:title>Full-page desktop screenshot of the Voxlane website: a navigation bar, a hero with the headline 'Voice agents that answer and act' and a Start building button, feature cards for inbound and outbound, versioned agent settings, knowledge with sources and tools that take action, a three-step how it works section (the call connects, speech becomes text, the agent answers or acts), pricing plans, an FAQ and a footer.</image:title></image:image>
</url>
<url>
<loc>https://axionry.com/build/ai-call-center</loc>
<image:image><image:loc>https://axionry.com/img/products/ai-call-center.webp</image:loc><image:title>Desktop screenshot of the Linebright web portal, an example of a finished AI call center: the live operations screen for Larkfield Outfitters. Calls in progress against channel capacity, callers waiting, callbacks queued and today's containment by call type.</image:title></image:image>
<image:image><image:loc>https://axionry.com/img/products/ai-call-center-site.webp</image:loc><image:title>Full-page desktop screenshot of the Linebright website: a navigation bar, a hero with the headline 'Answer thousands of calls a day' and a Talk to sales button, feature cards for sized for your busiest hour, admission control, answers only from sources and identity before account data, a three-step how it works section (admitted at the edge, caller verified, answered from your sources), pricing plans, an FAQ and a footer.</image:title></image:image>
</url>
<url>
<loc>https://axionry.com/build/ai-sales-agent</loc>
<image:image><image:loc>https://axionry.com/img/products/ai-sales-agent.webp</image:loc><image:title>Desktop screenshot of the Leadquill web portal, an example of a finished AI sales agent: the lead queue screen for Tallyrise. Today's new leads with time to first call, connected, qualified and booked counts, and each lead's outcome.</image:title></image:image>
<image:image><image:loc>https://axionry.com/img/products/ai-sales-agent-site.webp</image:loc><image:title>Full-page desktop screenshot of the Leadquill website: a navigation bar, a hero with the headline 'Call every lead in 60 seconds' and a Book a demo button, feature cards for calls within a minute, consent and do-not-call gate, your qualifying questions and scores backed by quotes, a three-step how it works section (the form is submitted, checked, then dialed, qualified in conversation), pricing plans, an FAQ and a footer.</image:title></image:image>
</url>
<url>
<loc>https://axionry.com/build/ai-payment-reminder-agent</loc>
<image:image><image:loc>https://axionry.com/img/products/ai-payment-reminder-agent.webp</image:loc><image:title>Desktop screenshot of the Duebell web portal, an example of a finished AI payment reminder agent: the campaign progress screen for Arvani Finance. Today's campaign: accounts due, reached, paid by link, new payment dates and calls left.</image:title></image:image>
<image:image><image:loc>https://axionry.com/img/products/ai-payment-reminder-agent-site.webp</image:loc><image:title>Full-page desktop screenshot of the Duebell website: a navigation bar, a hero with the headline 'Payments collected before they are late' and a Book a demo button, feature cards for campaigns by due date, right person first, amounts from your records and pay link during the call, a three-step how it works section (the campaign picks accounts, rules checked, then dialed, verified, then informed), pricing plans, an FAQ and a footer.</image:title></image:image>
</url>
<url>
<loc>https://axionry.com/build/ai-debt-collection-agent</loc>
<image:image><image:loc>https://axionry.com/img/products/ai-debt-collection-agent.webp</image:loc><image:title>Desktop screenshot of the Arrearo web portal, an example of a finished AI debt collection agent: the collections workspace screen for Birchway Lending. Today's accounts, dials allowed and blocked by the gate with reason codes, promises to pay and payments received.</image:title></image:image>
<image:image><image:loc>https://axionry.com/img/products/ai-debt-collection-agent-site.webp</image:loc><image:title>Full-page desktop screenshot of the Arrearo website: a navigation bar, a hero with the headline 'Compliant collections at scale' and a Book a demo button, feature cards for a gate with a veto, verify, then disclose, disclosures word for word and promises to pay, dated, a three-step how it works section (dial approved or blocked, right party confirmed, disclosures and facts), pricing plans, an FAQ and a footer.</image:title></image:image>
</url>
<url>
<loc>https://axionry.com/build/ai-interviewer</loc>
<image:image><image:loc>https://axionry.com/img/products/ai-interviewer.webp</image:loc><image:title>Desktop screenshot of the Hireloom web portal, an example of a finished AI interviewer: the ranked shortlist screen for Veltora. Candidates for the role ranked by weighted score, with integrity notes and each candidate's stage in the ATS.</image:title></image:image>
<image:image><image:loc>https://axionry.com/img/products/ai-interviewer-site.webp</image:loc><image:title>Full-page desktop screenshot of the Hireloom website: a navigation bar, a hero with the headline 'First-round interviews, done by tonight' and a Book a demo button, feature cards for a rubric you control, follow-ups that adapt, room to think and coding and design workspace, a three-step how it works section (invited from the ats, interviewed by voice, work shown, not described), pricing plans, an FAQ and a footer.</image:title></image:image>
</url>
<url>
<loc>https://axionry.com/build/custom-ai-agent</loc>
<image:image><image:loc>https://axionry.com/img/products/custom-ai-agent.webp</image:loc><image:title>Desktop screenshot of the Taskharbor web portal, an example of a finished custom AI agent: the run timeline screen for Lindenfold Home. One refund request moving through triage, order lookup, policy check, refund and reply, with each step's result and cost.</image:title></image:image>
<image:image><image:loc>https://axionry.com/img/products/custom-ai-agent-site.webp</image:loc><image:title>Full-page desktop screenshot of the Taskharbor website: a navigation bar, a hero with the headline 'An AI agent that does the work, safely' and a Book a demo button, feature cards for one orchestrator owns the plan, specialists for each step, one harness for every call and limits enforced in code, a three-step how it works section (a task arrives, specialists do their steps, the harness checks every call), pricing plans, an FAQ and a footer.</image:title></image:image>
</url>
<url>
<loc>https://axionry.com/build/ai-customer-service-agent</loc>
<image:image><image:loc>https://axionry.com/img/products/ai-customer-service-agent.webp</image:loc><image:title>Desktop screenshot of the Helpgrove web portal, an example of a finished AI customer service agent: the support dashboard screen for Northfell Outfitters. Today's conversations, the share resolved by the agent, escalations, reopen rate and the top unanswered topics.</image:title></image:image>
<image:image><image:loc>https://axionry.com/img/products/ai-customer-service-agent-site.webp</image:loc><image:title>Full-page desktop screenshot of the Helpgrove website: a navigation bar, a hero with the headline 'Resolve tickets, not just answer them' and a Start free trial button, feature cards for chat and email together, answers with sources, order and account lookups and actions behind approval, a three-step how it works section (a customer writes in, triage comes first, the agent looks things up), pricing plans, an FAQ and a footer.</image:title></image:image>
</url>
<url>
<loc>https://axionry.com/build/ai-browser-agent</loc>
<image:image><image:loc>https://axionry.com/img/products/ai-browser-agent.webp</image:loc><image:title>Desktop screenshot of the Portalpilot web portal, an example of a finished AI browser agent: the live run screen for Ashgrove Supply. The sandboxed browser on a supplier portal beside the agent's step list: logged in, filtered by date, 12 invoices found, downloading.</image:title></image:image>
<image:image><image:loc>https://axionry.com/img/products/ai-browser-agent-site.webp</image:loc><image:title>Full-page desktop screenshot of the Portalpilot website: a navigation bar, a hero with the headline 'Automate the portals that have no API' and a Book a demo button, feature cards for works on sites without apis, a fresh browser per task, credentials it never sees and approval before anything final, a three-step how it works section (a task is queued, a clean browser starts, the agent works the page), pricing plans, an FAQ and a footer.</image:title></image:image>
</url>
<url>
<loc>https://axionry.com/build/ai-app-builder</loc>
<image:image><image:loc>https://axionry.com/img/products/ai-app-builder.webp</image:loc><image:title>Desktop screenshot of the Tallyfern web portal, an example of a finished AI app builder: the builder screen for Studio Bloom. Chat on the left and the generated app running in a live preview on the right, with a small file tree and a Deploy button.</image:title></image:image>
<image:image><image:loc>https://axionry.com/img/products/ai-app-builder-site.webp</image:loc><image:title>Full-page desktop screenshot of the Tallyfern website: a navigation bar, a hero with the headline 'Describe an app. Get it live.' and a Start building button, feature cards for chat that writes the app, live preview in a sandbox, fixes its own errors and templates and components, a three-step how it works section (the user describes an app, the agent writes code, the preview runs and checks itself), pricing plans, an FAQ and a footer.</image:title></image:image>
</url>
<url>
<loc>https://axionry.com/build/chatgpt-app</loc>
<image:image><image:loc>https://axionry.com/img/products/chatgpt-app.webp</image:loc><image:title>Desktop screenshot of the Harborlight Stays web portal, an example of a finished ChatGPT app: the usage dashboard screen for Harborlight Stays. Tool calls, connected accounts, bookings and error rate for the app over the last seven days.</image:title></image:image>
<image:image><image:loc>https://axionry.com/img/products/chatgpt-app-site.webp</image:loc><image:title>Full-page desktop screenshot of the Harborlight Stays website: a hero headed 'Plan your stay in ChatGPT or Claude' with a chat window showing stay results for Lisbon, feature cards for live availability, real prices, confirmation before booking and secure account linking, three steps to connect and book, a destinations grid, an FAQ and a footer.</image:title></image:image>
</url>
<url>
<loc>https://axionry.com/build/ai-search-engine</loc>
<image:image><image:loc>https://axionry.com/img/products/ai-search-engine.webp</image:loc><image:title>Desktop screenshot of the Joistline web portal, an example of a finished AI search engine: the answer page screen for Joistline. A question, a short answer with numbered citations, the source cards it drew on, and suggested follow-ups.</image:title></image:image>
<image:image><image:loc>https://axionry.com/img/products/ai-search-engine-site.webp</image:loc><image:title>Full-page desktop screenshot of the Joistline website: a navigation bar, a hero with the headline 'Building code answers, with the source' and a Try it free button, feature cards for cited answers, your corpus plus the web, hybrid search and reranking and follow-up questions, a three-step how it works section (a question comes in, it searches two places, it picks the best passages), pricing plans, an FAQ and a footer.</image:title></image:image>
</url>
<url>
<loc>https://axionry.com/build/ai-knowledge-base</loc>
<image:image><image:loc>https://axionry.com/img/products/ai-knowledge-base.webp</image:loc><image:title>Desktop screenshot of the Knowbridge web portal, an example of a finished AI knowledge base: the knowledge health screen for Fernhill Logistics. Connectors synced, questions this week, the share answered and the top unanswered topic.</image:title></image:image>
<image:image><image:loc>https://axionry.com/img/products/ai-knowledge-base-site.webp</image:loc><image:title>Full-page desktop screenshot of the Knowbridge website: a navigation bar, a hero with the headline 'Every answer your team needs, with sources' and a Book a demo button, feature cards for connectors that keep up, permissions checked twice, answers with sources and freshness shown, not hidden, a three-step how it works section (connectors sync content and permissions, documents are indexed by meaning, a question is searched within access), pricing plans, an FAQ and a footer.</image:title></image:image>
</url>
<url>
<loc>https://axionry.com/build/ai-document-processing</loc>
<image:image><image:loc>https://axionry.com/img/products/ai-document-processing.webp</image:loc><image:title>Desktop screenshot of the Paperlane web portal, an example of a finished AI document processing: the review screen for Copperline Distribution. An invoice with two flagged fields, each beside a crop of the original, the check that failed, and confirm or correct buttons.</image:title></image:image>
<image:image><image:loc>https://axionry.com/img/products/ai-document-processing-site.webp</image:loc><image:title>Full-page desktop screenshot of the Paperlane website: a navigation bar, a hero with the headline 'Documents in. Clean data out.' and a Book a demo button, feature cards for intake from anywhere, classifies and splits, cheapest reader that works and fields in your format, a three-step how it works section (documents arrive, pages are classified and routed, fields are extracted in one pass), pricing plans, an FAQ and a footer.</image:title></image:image>
</url>
<url>
<loc>https://axionry.com/build/private-chatgpt</loc>
<image:image><image:loc>https://axionry.com/img/products/private-chatgpt.webp</image:loc><image:title>Desktop screenshot of the Enclavo web portal, an example of a finished private ChatGPT: the chat screen for Whitlock &amp; Rowe. A lawyer asks for the termination terms in a lease and gets three points citing two clauses, with a badge showing the firm hosts the model.</image:title></image:image>
<image:image><image:loc>https://axionry.com/img/products/private-chatgpt-site.webp</image:loc><image:title>Full-page desktop screenshot of the Enclavo website: a navigation bar, a hero with the headline 'ChatGPT for your company. Nothing leaves.' and a Book a demo button, feature cards for chat like chatgpt, answers from your documents, open-weights models and runs on your gpus, a three-step how it works section (pick the model on your own questions, stand up the gpu and the model, connect sign-in and documents), pricing plans, an FAQ and a footer.</image:title></image:image>
</url>
<url>
<loc>https://axionry.com/build/custom-llm</loc>
<image:image><image:loc>https://axionry.com/img/products/custom-llm.webp</image:loc><image:title>Desktop screenshot of the Claimwright web portal, an example of a finished custom LLM: the developer console screen for Claimwright. A customer's requests, tokens and spend this month, with a code sample that calls the model by its brand name.</image:title></image:image>
<image:image><image:loc>https://axionry.com/img/products/custom-llm-site.webp</image:loc><image:title>Full-page desktop screenshot of the Claimwright website: a navigation bar, a hero with the headline 'The model that reads claims like an adjuster' and a Get API access button, feature cards for base chosen by license, training data pipeline, lora or full fine-tuning and evals against three baselines, a three-step how it works section (pick the base and the name, build the dataset and test set, train and compare), pricing plans, an FAQ and a footer.</image:title></image:image>
</url>
<url>
<loc>https://axionry.com/build/ai-video-generator</loc>
<image:image><image:loc>https://axionry.com/img/products/ai-video-generator.webp</image:loc><image:title>Desktop screenshot of the Reelvane web portal, an example of a finished AI video generator: the create a video screen for Reelvane. The web editor: an ad template, the product photo as first frame, a one-line script, the 9:16 format, four 480p previews and the credit cost of the final.</image:title></image:image>
<image:image><image:loc>https://axionry.com/img/products/ai-video-generator-site.webp</image:loc><image:title>Full-page desktop screenshot of the Reelvane website: a navigation bar, a hero with the headline 'Product videos from one photo' and a Start free button, feature cards for templates for real formats, photo to video, preview, then final and brand loras, a three-step how it works section (a job is submitted, it waits in the right lane, a warm gpu renders it), pricing plans, an FAQ and a footer.</image:title></image:image>
</url>
<url>
<loc>https://axionry.com/build/ai-image-generator</loc>
<image:image><image:loc>https://axionry.com/img/products/ai-image-generator.webp</image:loc><image:title>Desktop screenshot of the Pixelmoor web portal, an example of a finished AI image generator: the generate screen for Juniper Wick. The web app: an uploaded packshot, a scene prompt, the brand style picked, and four generated variants to choose from.</image:title></image:image>
<image:image><image:loc>https://axionry.com/img/products/ai-image-generator-site.webp</image:loc><image:title>Full-page desktop screenshot of the Pixelmoor website: a navigation bar, a hero with the headline 'On-brand product photos in seconds' and a Start free button, feature cards for product kept exact, brand style loras, four variants per request and every ad size at once, a three-step how it works section (a brief comes in, it is screened, four variants render), pricing plans, an FAQ and a footer.</image:title></image:image>
</url>
<url>
<loc>https://axionry.com/build/ai-tutor</loc>
<image:image><image:loc>https://axionry.com/img/products/ai-tutor.webp</image:loc><image:title>Desktop screenshot of the Tidewell Learning web portal, an example of a finished AI tutor: the teacher dashboard screen for Class 8B. Class mastery by skill, the most common misconception this week and the learners stuck right now.</image:title></image:image>
<image:image><image:loc>https://axionry.com/img/products/ai-tutor-site.webp</image:loc><image:title>Full-page desktop screenshot of the Tidewell Learning website: a navigation bar, a hero with the headline 'A tutor that helps you think' and a Start learning button, feature cards for grounded in your course, hints, not answers, a guard on every reply and mastery per skill, a three-step how it works section (your course is indexed, a learner asks or attempts, the policy picks the move), pricing plans, an FAQ and a footer.</image:title></image:image>
</url>
<url>
<loc>https://axionry.com/build/ai-note-taker</loc>
<image:image><image:loc>https://axionry.com/img/products/ai-note-taker.webp</image:loc><image:title>Desktop screenshot of the Kinnet Notes web portal, an example of a finished AI note taker: the meeting notes screen for Kinnet Notes. The summary, decisions and action items with owners, due dates and a timestamp link for each.</image:title></image:image>
<image:image><image:loc>https://axionry.com/img/products/ai-note-taker-site.webp</image:loc><image:title>Full-page desktop screenshot of the Kinnet Notes website: a navigation bar, a hero with the headline 'Meeting notes that file themselves' and a Get started free button, feature cards for joins on its own, consent built in, speakers named and decisions and action items, a three-step how it works section (scheduled or invited, recorded with consent, transcribed and attributed), pricing plans, an FAQ and a footer.</image:title></image:image>
</url>
<url>
<loc>https://axionry.com/build/ai-medical-scribe</loc>
<image:image><image:loc>https://axionry.com/img/products/ai-medical-scribe.webp</image:loc><image:title>Desktop screenshot of the Chartpine web portal, an example of a finished AI medical scribe: the draft SOAP note screen for Alder Creek Family Medicine. The note for review, each line linked to its transcript moment, with an allergy line flagged for the clinician to confirm.</image:title></image:image>
<image:image><image:loc>https://axionry.com/img/products/ai-medical-scribe-site.webp</image:loc><image:title>Full-page desktop screenshot of the Chartpine website: a navigation bar, a hero with the headline 'Notes written while you listen' and a Book a demo button, feature cards for consent before recording, ambient capture, clinical vocabulary and soap notes by specialty, a three-step how it works section (consent, then record, transcribed under a baa, drafted as a soap note), pricing plans, an FAQ and a footer.</image:title></image:image>
</url>
<url>
<loc>https://axionry.com/build/ai-writing-assistant</loc>
<image:image><image:loc>https://axionry.com/img/products/ai-writing-assistant.webp</image:loc><image:title>Desktop screenshot of the Hearthnote web portal, an example of a finished AI writing assistant: the draft editor screen for Hearthnote. The property sheet and photos on the left, the MLS remarks draft on the right with its character count, fact check and Fair Housing flags.</image:title></image:image>
<image:image><image:loc>https://axionry.com/img/products/ai-writing-assistant-site.webp</image:loc><image:title>Full-page desktop screenshot of the Hearthnote website: a navigation bar, a hero with the headline 'Listings written in your voice' and a Start free trial button, feature cards for listing from facts and photos, each agent's own voice, templates per channel and fair housing check, a three-step how it works section (the agent adds a property, a draft is written, the draft is checked), pricing plans, an FAQ and a footer.</image:title></image:image>
</url>
<url>
<loc>https://axionry.com/build/ai-resume-builder</loc>
<image:image><image:loc>https://axionry.com/img/products/ai-resume-builder.webp</image:loc><image:title>Desktop screenshot of the Tailorwise web portal, an example of a finished AI resume builder: the match to job screen for Tailorwise. The job ad beside the resume, with a match score, the missing skills and a suggested rewrite of one bullet.</image:title></image:image>
<image:image><image:loc>https://axionry.com/img/products/ai-resume-builder-site.webp</image:loc><image:title>Full-page desktop screenshot of the Tailorwise website: a navigation bar, a hero with the headline 'A resume tailored to every job' and a Build my resume button, feature cards for import an old resume, job description match, truthful bullet rewrites and a version per job, a three-step how it works section (import, match, rewrite), pricing plans, an FAQ and a footer.</image:title></image:image>
</url>
<url>
<loc>https://axionry.com/build/ai-legal-assistant</loc>
<image:image><image:loc>https://axionry.com/img/products/ai-legal-assistant.webp</image:loc><image:title>Desktop screenshot of the Clauseport web portal, an example of a finished AI legal assistant: the contract review screen for Hart &amp; Vance LLP. A master services agreement with the playbook results beside it: each clause marked standard, fallback or non-standard, and a suggested redline.</image:title></image:image>
<image:image><image:loc>https://axionry.com/img/products/ai-legal-assistant-site.webp</image:loc><image:title>Full-page desktop screenshot of the Clauseport website: a navigation bar, a hero with the headline 'Contract review against your playbook' and a Book a demo button, feature cards for playbook review, redlines in word, clause extraction and answers with citations, a three-step how it works section (documents enter a matter, the playbook is applied, terms are extracted), pricing plans, an FAQ and a footer.</image:title></image:image>
</url>
<url>
<loc>https://axionry.com/build/fitness-app</loc>
<image:image><image:loc>https://axionry.com/img/products/fitness-app.webp</image:loc><image:title>Desktop screenshot of the Repwell web portal, an example of a finished fitness app: the owner's week screen for Repwell. Trials started, new paid members and churn for the week.</image:title></image:image>
<image:image><image:loc>https://axionry.com/img/products/fitness-app-site.webp</image:loc><image:title>Full-page desktop screenshot of the Repwell website, an example of a finished fitness app: a hero with the headline Train with a plan that adapts, a button Start 7-day free trial and a phone showing a workout screen Upper body A · Set 3 of 4 with a rest timer; a row of program cards Strength, Build muscle, Mobility, Run faster; a row of three features Logs in one tap, Syncs with your watch, Progress you can see; a plans section Monthly $12.99 and Annual $79.99; an FAQ with three short questions; a footer.</image:title></image:image>
</url>
<url>
<loc>https://axionry.com/build/food-delivery-app</loc>
<image:image><image:loc>https://axionry.com/img/products/food-delivery-app.webp</image:loc><image:title>Desktop screenshot of the Supperwave web portal, an example of a finished food delivery app: the operator console screen for Supperwave. Orders today, couriers online and average delivery time, with a live city map and order statuses.</image:title></image:image>
<image:image><image:loc>https://axionry.com/img/products/food-delivery-app-site.webp</image:loc><image:title>Full-page desktop screenshot of the Supperwave website, an example of a finished food delivery app: a hero with the headline Dinner, delivered in about 30 minutes, an address field Enter your address and an violet button Find food; a row of cuisine chips Pizza, Sushi, Burgers, Indian, Vegan, Desserts; a section Popular near you with six restaurant cards, each with a food photo, a restaurant name (Nonna Rosa, Tokyo Alley, Brick Burger, Masala House, Green Bowl, Sweet Crumb), a rating like 4.7, 25 to 35 min and $1.99 delivery; a How it works row with three steps Order, Track live, Enjoy; two side-by-side banners Deliver with Supperwave and Add your restaurant; a footer.</image:title></image:image>
</url>
<url>
<loc>https://axionry.com/build/taxi-booking-app</loc>
<image:image><image:loc>https://axionry.com/img/products/taxi-booking-app.webp</image:loc><image:title>Desktop screenshot of the Hailora web portal, an example of a finished taxi booking app: the dispatch console screen for Hailora. Cars online, trips in progress and average pickup time on a live city map, with surge zones highlighted.</image:title></image:image>
<image:image><image:loc>https://axionry.com/img/products/taxi-booking-app-site.webp</image:loc><image:title>Full-page desktop screenshot of the Hailora website, an example of a finished taxi booking app: a hero with the headline Upfront prices. Rides in minutes., a card with a Pickup field 14 Harbor St, a Where to? field Airport, Terminal 2 and a violet button See prices, next to a stylised city map with a route line; a row of three ride options Economy $18.40, Comfort $24.10, XL $31.75 with seats and arrival times; a section Your safety comes first with three items Share your trip, Verified drivers, 24/7 support; a band Drive with Hailora with Earn on your schedule and a button Sign up to drive; a footer.</image:title></image:image>
</url>
<url>
<loc>https://axionry.com/build/ecommerce-app</loc>
<image:image><image:loc>https://axionry.com/img/products/ecommerce-app.webp</image:loc><image:title>Desktop screenshot of the Loomwell web portal, an example of a finished ecommerce app: the search and merchandising dashboard screen for Loomwell. Top searches, searches with no results, conversion by collection and the day's orders.</image:title></image:image>
<image:image><image:loc>https://axionry.com/img/products/ecommerce-app-site.webp</image:loc><image:title>Full-page desktop screenshot of the Loomwell website, an example of a finished ecommerce app: a slim announcement bar Free shipping over $75; a navigation bar with Bedding, Throws, Towels, Table, a search icon and a cart icon; a large hero banner with a photo of natural linen bedding in a sunlit bedroom, the headline Linen, made to last and a button Shop bedding; four category tiles Bedding, Throws, Towels, Table linen with photos; a Bestsellers grid of six product cards with photos, names (Stonewashed duvet cover, Linen throw, Waffle bath towel, Linen napkins, set of 4, Fitted sheet, Pillowcase pair) and prices; a band Made from European flax with three short points; a newsletter signup; a footer.</image:title></image:image>
</url>
<url>
<loc>https://axionry.com/build/marketplace-app</loc>
<image:image><image:loc>https://axionry.com/img/products/marketplace-app.webp</image:loc><image:title>Desktop screenshot of the Tidyhands web portal, an example of a finished marketplace app: the marketplace console screen for Tidyhands. Bookings, take rate, open disputes and providers waiting for approval.</image:title></image:image>
<image:image><image:loc>https://axionry.com/img/products/marketplace-app-site.webp</image:loc><image:title>Full-page desktop screenshot of the Tidyhands website, an example of a finished marketplace app: a hero with the headline Trusted house cleaners, booked in minutes, a search bar with Service: Deep clean, Postcode: 94110, Date: Sat 12 Oct and a violet button Search; a row of service chips Regular clean, Deep clean, Move out, Oven, Windows; a section Top rated near you with four provider cards, each with an illustrated avatar, a name, a Verified badge, a rating like 4.9 (212) and $38/hr; a How it works row Search, Book, Relax; a band Payment held until the job is done; a band Become a Tidyhand with a button Apply to clean; a footer.</image:title></image:image>
</url>
<url>
<loc>https://axionry.com/build/dating-app</loc>
<image:image><image:loc>https://axionry.com/img/products/dating-app.webp</image:loc><image:title>Desktop screenshot of the Duetly web portal, an example of a finished dating app: the safety console screen for Duetly. Open and urgent reports, the median response time and a table of recent reports with actions.</image:title></image:image>
<image:image><image:loc>https://axionry.com/img/products/dating-app-site.webp</image:loc><image:title>Full-page desktop screenshot of the Duetly website, an example of a finished dating app: a hero with the headline Real people. Verified., the line Every profile passes a selfie check, a button Get the app and a phone showing an illustrated profile card Maya, 29 with a Verified badge and a prompt Best Sunday: long walk, strong coffee; a row of three features Selfie verification, Prompts, not just photos, Report in two taps; a How it works row Verify, Discover, Match and chat; a section Safety Center with three short points; a footer.</image:title></image:image>
</url>
<url>
<loc>https://axionry.com/build/real-estate-app</loc>
<image:image><image:loc>https://axionry.com/img/products/real-estate-app.webp</image:loc><image:title>Desktop screenshot of the Larkfield Homes web portal, an example of a finished real estate app: the new lead card screen for Larkfield Homes. The lead handed to an agent: saved homes, their search, the booked tour and a response timer.</image:title></image:image>
<image:image><image:loc>https://axionry.com/img/products/real-estate-app-site.webp</image:loc><image:title>Full-page desktop screenshot of the Larkfield Homes website, an example of a finished real estate app: a hero with the headline Find your next home, a search bar City, neighborhood or ZIP with filter chips Price, Beds, Home type, More; a split view with a map on the right showing price pins like $649K and $1.2M and a list of listing cards on the left, each with a house photo, a price, 3 bd · 2 ba · 1,840 sq ft, an address and a Book a tour link; a section Featured homes with three large listing cards; a section Meet our agents with three agents shown as illustrated avatars with names; a band Get alerts for new listings with an email field; a footer.</image:title></image:image>
</url>
<url>
<loc>https://axionry.com/build/video-streaming-app</loc>
<image:image><image:loc>https://axionry.com/img/products/video-streaming-app.webp</image:loc><image:title>Desktop screenshot of the Duskfall web portal, an example of a finished video streaming app: the publishing back office screen for Duskfall. Subscribers, minutes watched and churn, with each title's encoding and release status.</image:title></image:image>
<image:image><image:loc>https://axionry.com/img/products/video-streaming-app-site.webp</image:loc><image:title>Full-page desktop screenshot of the Duskfall website, an example of a finished video streaming app: a hero banner with a cinematic still for the original series The Quiet Estuary, the headline Stories worth staying up for, buttons Play and My list, and the line New episodes every Friday; rows of poster art with short titles: Continue watching, New this week, Documentaries; a plans section with two plan cards Monthly $7.99 and Annual $79; a devices section Watch on TV, phone and laptop with simple device icons; an FAQ with three short questions; a footer.</image:title></image:image>
</url>
<url>
<loc>https://axionry.com/build/fintech-app</loc>
<image:image><image:loc>https://axionry.com/img/products/fintech-app.webp</image:loc><image:title>Desktop screenshot of the Kitecard web portal, an example of a finished fintech app: the finance dashboard screen for Design team. Company balance, spend this month, missing receipts, active cards, spend by team and transactions.</image:title></image:image>
<image:image><image:loc>https://axionry.com/img/products/fintech-app-site.webp</image:loc><image:title>Full-page desktop screenshot of the Kitecard website: a navigation bar, a hero with the headline 'Company cards with limits that hold' and a Get started button, feature cards for business onboarding with kyb, bank linking and funding, virtual and physical cards and spending controls, a three-step how it works section (the business is verified, money moves to the partner, cards are issued), pricing plans, an FAQ and a footer.</image:title></image:image>
</url>
<url>
<loc>https://axionry.com/build/online-course-platform</loc>
<image:image><image:loc>https://axionry.com/img/products/online-course-platform.webp</image:loc><image:title>Desktop screenshot of the Lessonloft web portal, an example of a finished online course platform: the owner dashboard screen for Lessonloft. Revenue, new learners, completion and the next cohort's start date.</image:title></image:image>
<image:image><image:loc>https://axionry.com/img/products/online-course-platform-site.webp</image:loc><image:title>Full-page desktop screenshot of the Lessonloft website, an example of a finished online course platform: a hero with the headline Learn bookkeeping in six weeks, the course Bookkeeping for Small Business, a button Enroll now, the price $249 or 3 payments of $89 and a course video thumbnail with a play button; a row What you will learn with four items; a curriculum list with six modules and lesson counts; an instructor card with an illustrated avatar; a certificate preview; cohort dates Next cohort starts 4 Nov; an FAQ with three short questions; a footer.</image:title></image:image>
</url>
<url>
<loc>https://axionry.com/build/school-management-software</loc>
<image:image><image:loc>https://axionry.com/img/products/school-management-software.webp</image:loc><image:title>Desktop screenshot of the Bellbook web portal, an example of a finished school management software: the office dashboard screen for Riverside Heights School. Attendance, fees collected, overdue families and new applications, with attendance by grade and the overdue list.</image:title></image:image>
<image:image><image:loc>https://axionry.com/img/products/school-management-software-site.webp</image:loc><image:title>Full-page desktop screenshot of the Bellbook website: a navigation bar, a hero with the headline 'Run your whole school in one place' and a Book a demo button, feature cards for online admissions, attendance with alerts, fees and payments and timetable builder, a three-step how it works section (a family applies, roll call starts the day, fees are billed and chased), pricing plans, an FAQ and a footer.</image:title></image:image>
</url>
<url>
<loc>https://axionry.com/build/telemedicine-app</loc>
<image:image><image:loc>https://axionry.com/img/products/telemedicine-app.webp</image:loc><image:title>Desktop screenshot of the Tendwell Health web portal, an example of a finished telemedicine app: the visit room screen for Tendwell Health. The clinician's laptop: the video, the intake summary, the SOAP note and the prescription panel together.</image:title></image:image>
<image:image><image:loc>https://axionry.com/img/products/telemedicine-app-site.webp</image:loc><image:title>Full-page desktop screenshot of the Tendwell Health website, an example of a finished telemedicine app: a hero with the headline See a clinician today, from home, a state selector California, a button Book a visit and the line Visits from $49; a row of care tiles Cold and flu, UTI, Skin and rashes, Allergies, Prescription refills; a How it works row Book, Video visit, Prescription to your pharmacy; a section Licensed in your state with three clinicians shown as illustrated avatars with names and credentials; a band Private and secure with three short points; an FAQ with three short questions; a footer.</image:title></image:image>
</url>
<url>
<loc>https://axionry.com/build/hospital-management-software</loc>
<image:image><image:loc>https://axionry.com/img/products/hospital-management-software.webp</image:loc><image:title>Desktop screenshot of the Wardline web portal, an example of a finished hospital management software: the bed board screen for Kestrel Hospital. One ward's beds by status, the day's occupancy, admissions, due discharges and pending claims, and one patient's open tasks.</image:title></image:image>
<image:image><image:loc>https://axionry.com/img/products/hospital-management-software-site.webp</image:loc><image:title>Full-page desktop screenshot of the Wardline website: a navigation bar, a hero with the headline 'Every patient, bed and bill in one system' and a Book a demo button, feature cards for registration and mrn, opd queue, ipd and bed board and billing and insurance, a three-step how it works section (registration, care and orders, lab and pharmacy deliver), pricing plans, an FAQ and a footer.</image:title></image:image>
</url>
<url>
<loc>https://axionry.com/build/restaurant-pos-software</loc>
<image:image><image:loc>https://axionry.com/img/products/restaurant-pos-software.webp</image:loc><image:title>Desktop screenshot of the Plateline web portal, an example of a finished restaurant POS system: the back office screen for Olive &amp; Ember. Today's sales, covers, average check and voids across locations, with sales by hour.</image:title></image:image>
<image:image><image:loc>https://axionry.com/img/products/restaurant-pos-software-site.webp</image:loc><image:title>Full-page desktop screenshot of the Plateline website: a navigation bar, a hero with the headline 'The POS that keeps working offline' and a Get a demo button, feature cards for tablet ordering, tables and checks, kitchen display and card payments at the table, a three-step how it works section (a server opens a check, the kitchen gets it, the guest pays at the table), pricing plans, an FAQ and a footer.</image:title></image:image>
</url>
<url>
<loc>https://axionry.com/build/custom-crm</loc>
<image:image><image:loc>https://axionry.com/img/products/custom-crm.webp</image:loc><image:title>Desktop screenshot of the Pipeloom web portal, an example of a finished custom CRM: the pipeline board screen for Sunmill Solar. Deals across the company's own stages with values and owners, plus the quarter forecast and deals won this month.</image:title></image:image>
<image:image><image:loc>https://axionry.com/img/products/custom-crm-site.webp</image:loc><image:title>Full-page desktop screenshot of the Pipeloom website: a navigation bar, a hero with the headline 'A CRM shaped around how you sell' and a Book a demo button, feature cards for pipeline in your stages, contacts and companies, email and calendar sync and click-to-call with recordings, a three-step how it works section (your process becomes the data model, activity arrives on its own, reps call from the browser), pricing plans, an FAQ and a footer.</image:title></image:image>
</url>
<url>
<loc>https://axionry.com/build</loc>
<image:image><image:loc>https://axionry.com/img/products/ai-receptionist.webp</image:loc><image:title>AI receptionist: what the finished product looks like</image:title></image:image>
<image:image><image:loc>https://axionry.com/img/products/ai-voice-agent.webp</image:loc><image:title>AI voice agent: what the finished product looks like</image:title></image:image>
<image:image><image:loc>https://axionry.com/img/products/ai-call-center.webp</image:loc><image:title>AI call center: what the finished product looks like</image:title></image:image>
<image:image><image:loc>https://axionry.com/img/products/ai-sales-agent.webp</image:loc><image:title>AI sales agent: what the finished product looks like</image:title></image:image>
<image:image><image:loc>https://axionry.com/img/products/ai-payment-reminder-agent.webp</image:loc><image:title>AI payment reminder agent: what the finished product looks like</image:title></image:image>
<image:image><image:loc>https://axionry.com/img/products/ai-debt-collection-agent.webp</image:loc><image:title>AI debt collection agent: what the finished product looks like</image:title></image:image>
<image:image><image:loc>https://axionry.com/img/products/ai-interviewer.webp</image:loc><image:title>AI interviewer: what the finished product looks like</image:title></image:image>
<image:image><image:loc>https://axionry.com/img/products/custom-ai-agent.webp</image:loc><image:title>Custom AI agent: what the finished product looks like</image:title></image:image>
<image:image><image:loc>https://axionry.com/img/products/ai-customer-service-agent.webp</image:loc><image:title>AI customer service agent: what the finished product looks like</image:title></image:image>
<image:image><image:loc>https://axionry.com/img/products/ai-browser-agent.webp</image:loc><image:title>AI browser agent: what the finished product looks like</image:title></image:image>
<image:image><image:loc>https://axionry.com/img/products/ai-app-builder.webp</image:loc><image:title>AI app builder: what the finished product looks like</image:title></image:image>
<image:image><image:loc>https://axionry.com/img/products/chatgpt-app.webp</image:loc><image:title>ChatGPT app: what the finished product looks like</image:title></image:image>
<image:image><image:loc>https://axionry.com/img/products/ai-search-engine.webp</image:loc><image:title>AI search engine: what the finished product looks like</image:title></image:image>
<image:image><image:loc>https://axionry.com/img/products/ai-knowledge-base.webp</image:loc><image:title>AI knowledge base: what the finished product looks like</image:title></image:image>
<image:image><image:loc>https://axionry.com/img/products/ai-document-processing.webp</image:loc><image:title>AI document processing: what the finished product looks like</image:title></image:image>
<image:image><image:loc>https://axionry.com/img/products/private-chatgpt.webp</image:loc><image:title>Private ChatGPT: what the finished product looks like</image:title></image:image>
<image:image><image:loc>https://axionry.com/img/products/custom-llm.webp</image:loc><image:title>Custom LLM: what the finished product looks like</image:title></image:image>
<image:image><image:loc>https://axionry.com/img/products/ai-video-generator.webp</image:loc><image:title>AI video generator: what the finished product looks like</image:title></image:image>
<image:image><image:loc>https://axionry.com/img/products/ai-image-generator.webp</image:loc><image:title>AI image generator: what the finished product looks like</image:title></image:image>
<image:image><image:loc>https://axionry.com/img/products/ai-tutor.webp</image:loc><image:title>AI tutor: what the finished product looks like</image:title></image:image>
<image:image><image:loc>https://axionry.com/img/products/ai-note-taker.webp</image:loc><image:title>AI note taker: what the finished product looks like</image:title></image:image>
<image:image><image:loc>https://axionry.com/img/products/ai-medical-scribe.webp</image:loc><image:title>AI medical scribe: what the finished product looks like</image:title></image:image>
<image:image><image:loc>https://axionry.com/img/products/ai-writing-assistant.webp</image:loc><image:title>AI writing assistant: what the finished product looks like</image:title></image:image>
<image:image><image:loc>https://axionry.com/img/products/ai-resume-builder.webp</image:loc><image:title>AI resume builder: what the finished product looks like</image:title></image:image>
<image:image><image:loc>https://axionry.com/img/products/ai-legal-assistant.webp</image:loc><image:title>AI legal assistant: what the finished product looks like</image:title></image:image>
<image:image><image:loc>https://axionry.com/img/products/fitness-app.webp</image:loc><image:title>Fitness app: what the finished product looks like</image:title></image:image>
<image:image><image:loc>https://axionry.com/img/products/food-delivery-app.webp</image:loc><image:title>Food delivery app: what the finished product looks like</image:title></image:image>
<image:image><image:loc>https://axionry.com/img/products/taxi-booking-app.webp</image:loc><image:title>Taxi booking app: what the finished product looks like</image:title></image:image>
<image:image><image:loc>https://axionry.com/img/products/ecommerce-app.webp</image:loc><image:title>Ecommerce app: what the finished product looks like</image:title></image:image>
<image:image><image:loc>https://axionry.com/img/products/marketplace-app.webp</image:loc><image:title>Marketplace app: what the finished product looks like</image:title></image:image>
<image:image><image:loc>https://axionry.com/img/products/dating-app.webp</image:loc><image:title>Dating app: what the finished product looks like</image:title></image:image>
<image:image><image:loc>https://axionry.com/img/products/real-estate-app.webp</image:loc><image:title>Real estate app: what the finished product looks like</image:title></image:image>
<image:image><image:loc>https://axionry.com/img/products/video-streaming-app.webp</image:loc><image:title>Video streaming app: what the finished product looks like</image:title></image:image>
<image:image><image:loc>https://axionry.com/img/products/fintech-app.webp</image:loc><image:title>Fintech app: what the finished product looks like</image:title></image:image>
<image:image><image:loc>https://axionry.com/img/products/online-course-platform.webp</image:loc><image:title>Online course platform: what the finished product looks like</image:title></image:image>
<image:image><image:loc>https://axionry.com/img/products/school-management-software.webp</image:loc><image:title>School management software: what the finished product looks like</image:title></image:image>
<image:image><image:loc>https://axionry.com/img/products/telemedicine-app.webp</image:loc><image:title>Telemedicine app: what the finished product looks like</image:title></image:image>
<image:image><image:loc>https://axionry.com/img/products/hospital-management-software.webp</image:loc><image:title>Hospital management software: what the finished product looks like</image:title></image:image>
<image:image><image:loc>https://axionry.com/img/products/restaurant-pos-software.webp</image:loc><image:title>Restaurant POS system: what the finished product looks like</image:title></image:image>
<image:image><image:loc>https://axionry.com/img/products/custom-crm.webp</image:loc><image:title>Custom CRM: what the finished product looks like</image:title></image:image>
<image:image><image:loc>https://axionry.com/media/series/hover-bike-chase.webp</image:loc><image:title>AI TV series: a frame from a finished AI-animated scene</image:title></image:image>
<image:image><image:loc>https://axionry.com/media/series/biscuit-heist.webp</image:loc><image:title>Personalized AI marketing videos: a frame from a finished AI-animated scene</image:title></image:image>
</url>
<url>
<loc>https://axionry.com/build/ai-tv-series-production</loc>
<image:image><image:loc>https://axionry.com/media/series/hover-bike-chase.webp</image:loc><image:title>Hover-bike chase, an AI-animated action shot</image:title></image:image>
<image:image><image:loc>https://axionry.com/media/series/robot-star-eyes.webp</image:loc><image:title>Robot with star eyes, an AI-animated character moment</image:title></image:image>
</url>
<url>
<loc>https://axionry.com/build/ai-personalized-video-marketing</loc>
<image:image><image:loc>https://axionry.com/media/series/biscuit-heist.webp</image:loc><image:title>Biscuit heist, an AI-animated brand-style scene</image:title></image:image>
</url>
</urlset>