What does an AI product development company actually build?
We build production LLM applications with model routing and cost control, autonomous and semi-autonomous AI agents (including MCP tool integrations), and RAG systems that retrieve over your private data with real quality, not demos. We also build voice-enabled AI products (see Voice AI Development) and LLM features for existing SaaS: assessment, summarization, copilots and workflow automation.
Why hire a solo senior architect instead of an AI development agency?
Agencies staff juniors and bill seniors. With Axionry, the person on the sales call is the person writing the architecture. The track record is public: a solo-built B2B SaaS with 20+ enterprise clients, a published vendor case study, and infrastructure that runs at a fraction of typical cost. Small surface area, senior decisions, real cost discipline.
Engagement model
You can work fixed-scope (4 to 8 week builds) or on a monthly product-engineering retainer. Every build ships with observability, cost-per-request dashboards, and documentation your team can run without me; I architect myself out of the loop on purpose. The prices below are starting points: final pricing depends on your use case, the features and integrations involved, and overall complexity, so the most accurate number comes from a short call. You also get globally competitive pricing, senior US-grade engineering without inflated agency overhead.
Pricing
| Engagement | Scope | Price |
|---|---|---|
| AI Feature Sprint | One production AI feature in your product (4 weeks) | from $10,000 |
| AI Product Build | Zero-to-one product: architecture → production (8 weeks) | from $20,000 |
| Retainer | Ongoing senior AI engineering + architecture | from $6,000/mo |
Pricing can be discussed based on your use case. Final price depends on scope, features and complexity, so the most accurate number comes from a short call.
