AI Development Company in San Francisco
The best AI Development Company in San Francisco, at the best available price.
Most of what gets sold here as AI development is a team of five with one person who has shipped, and a bill that reflects the other four. This is the opposite arrangement: the engineer who scopes it is the engineer who builds it, the price is fixed before anything starts, and you pay nothing until a checkpoint is delivered and you accept it.
San Francisco has the densest concentration of AI companies and venture money anywhere, which cuts both ways: the talent is excellent and almost all of it is already spoken for. Seed-stage teams compete with the largest labs for every senior engineer, so many ship their first product with outside help and hire once the product has shown what kind of engineer it needs.
Most AI features built in San Francisco now sit on the same handful of models, so the difference is in everything around them: evaluation sets, retrieval over your own data, tool calls that work and a cost per request that leaves margin.
What you get
- One senior engineer end to end: the person on your first call architects it, writes it and hands it over
- LLM features, retrieval over your own documents, agents that call real tools, and voice where it earns its place
- Deployed in your own cloud account in a regional data centre, or on your own hardware where residency demands it
- Fixed price and fixed scope agreed in writing before work starts, invoiced per accepted checkpoint
- Code and infrastructure in your repository and your accounts, written to make us replaceable on purpose
Nothing payable upfront. You hold every dollar until a checkpoint is delivered and accepted, and thirty days of defect correction is included. Final scope and price are settled on a call before any work begins.
Invoiced in USD, payable by Wise or bank transfer.
Request a callback
You speak to the engineer who does the work. No sales rep, no deck.
Who builds here
AI Product & MVP Development
The usual San Francisco situation is a funded founder who needs a working product in front of users before the next raise, and cannot wait four months to hire a team to build it.
What San Francisco companies build with us
Get it built at $0.
That is not a discount. It is when you pay. The work is split into checkpoints with acceptance criteria written down before anything starts, and each checkpoint is invoiced only after you have seen it and accepted it. No deposit.
- $0 to start
- You hold every dollar until a checkpoint is delivered and you accept it. No approval, no invoice.
- Fixed cost, unlimited features
- Or hire the team outright: one fixed monthly cost, unlimited feature development, any stack.
- The engineer takes your call
- The person on your first call is the one who architects and writes it. No account managers, no bench time.
A US agency quotes $50,000 to $150,000 for the same build and asks for 40 to 50% of it before a line is written. Account managers, project managers, sales commission and bench time. None of it appears in your product.
Three stages, nothing hidden.
Twenty-minute call
You talk to the engineer who will build it. We scope the problem, and if this is the wrong fit for you, you get told so on that call rather than three weeks into a proposal.
Fixed proposal in 48 hours
Fixed price, fixed timeline, defined deliverables, in writing. No hourly billing, no open-ended scope, and no change-request business model.
Checkpoints until it ships
Working software at each checkpoint, with acceptance criteria agreed before that checkpoint starts and an invoice only after you accept it. Direct access throughout, not a ticket queue.
What actually applies here.
Regulation and data
California's privacy law, the CCPA as amended by the CPRA, is enforced by a dedicated agency, the California Privacy Protection Agency, and applies to businesses above its revenue or data thresholds wherever they are based. The agency's rules on risk assessments and automated decision-making technology add obligations that phase in over the next few years. If your product makes significant decisions about people, plan for opt-out and access requests from the start rather than after the first enterprise customer asks.
Contracting and payment
You contract with an individual consultant based in India rather than a US entity. Invoices are issued in USD and paid by Wise or bank transfer, with no payroll and no benefits load on your side. Whatever documentation your finance team or counsel needs from an overseas contractor is provided before work starts.
Working hours
Calls in your morning, Pacific time, and work handed over at the end of your day so the next round of changes is waiting when you start.
Is it a problem that you are not in the Bay Area?
Not for the work itself. You get calls in your morning Pacific time and work handed over at the end of your day, so the next round of changes is waiting when you start. Everything lives in your repository and your accounts.
Can you help us get ready for technical due diligence before a raise?
Yes. That usually means tightening security basics, documenting the architecture and making sure more than one person can deploy. It fits naturally into a fractional CTO or build engagement.
Why would we use an overseas engineer rather than a local integrator?
Often you should use both. An integrator holding the prime contract and the local relationship, with a specialist doing the AI and data layer underneath, is a common and sensible structure here. What you should not do is pay integrator rates for engineering that one person is actually doing.
Can the system run entirely inside our own infrastructure?
Yes, and in this region that is frequently the requirement rather than the preference. Model serving on your own hardware or in your own cloud account in a regional data centre, with no outbound calls, up to fully air-gapped.
Who owns the code?
You do, entirely. It ships into your repository on your own cloud accounts, documented so your team or your next hire can carry it without us, and all our access is removed at handover with written confirmation.
AI Product Development
LLM apps, agents, RAG and MCP tooling, architected by the builder of AccioMatrix.