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Product and MVP development

AI Product & MVP Development in San Diego

The best AI Product & MVP Development in San Diego, at the best available price.

$0 upfrontPay per accepted checkpointSenior engineer, no agency markup

A real, production-grade build you can put in front of users or investors. Frontend, backend, mobile, the agentic AI underneath, and the cloud or private infrastructure it runs on, as one engagement rather than four vendors.

San Diego's technology economy rests on life sciences around Torrey Pines, wireless and semiconductor engineering, a large defence and Navy presence, and UC San Diego. Companies here are often engineering-led and research heavy, and many are regulated by the FDA or by defence contracts rather than by consumer markets.

San Diego founders are often scientists or engineers with a prototype. The build turns it into software a lab, a clinic or a customer can use, with the documentation regulated buyers ask for.

What you get

  • Full-stack build on Next.js, Node or Python, with a database and API design that survives past the MVP
  • AI where it earns its place: LLM features, retrieval over your own documents, agent flows that call real tools, voice
  • Auth, payments, analytics and an admin surface, not a demo that breaks on the second user
  • Deployment across AWS, GCP or Azure, or private and on-premise hosting where the data demands it
  • Clean, documented code on your own infrastructure, written to make us replaceable on purpose
Working MVPs from $1,000. Full production builds from $12,000.

Final pricing depends on scope, features and complexity, so we settle it on a call before any work starts.

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.

No spam and no sales team. You talk directly to Neeraj.

San Diego, California

Who builds here

Biotech and genomics on Torrey Pines MesaWireless and semiconductor engineeringDefence and the NavyUC San Diego
Best fit in San Diego

AI Development Company

San Diego's biotech and engineering companies want AI over specialised research and technical data, and that work needs careful production engineering more than another chatbot.

Three founders around a laptop in a sunlit office, celebrating the moment their product went live
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.
Four checkpoints, each invoiced only after you accept it. Nothing is due before the first one.
How you pay

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.

How it works

Three stages, nothing hidden.

01

Twenty-minute call

You talk to the engineer who will build it, not a sales rep. We scope the problem and you get told plainly if this is the wrong fit.

02

Fixed proposal in 48 hours

Fixed price, fixed timeline, defined deliverables, in writing. No hourly billing surprises and no open-ended scope.

03

Weekly demos until it ships

Working software every week, direct access over Slack or WhatsApp, and documentation handed over at the end.

Working in San Diego

What actually applies here.

Regulation and data

California's privacy law (the CCPA as amended by the CPRA) applies across the state, and California's Confidentiality of Medical Information Act adds health privacy duties that reach some digital health apps HIPAA does not. Biotech companies work under FDA expectations for data integrity, and defence suppliers handle controlled technical data under export rules and the Defense Department's cybersecurity requirements. Each of these limits where data can go before any AI tool is chosen.

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.

Does California's medical information law apply to our health app?

It can, even where HIPAA does not, because it reaches some businesses that offer software or hardware handling medical information. We build consent and access controls for it, and your counsel confirms scope.

Can you work on defence-related projects?

Only on parts that do not involve controlled technical data. We do not hold a US security clearance, so controlled data stays with your cleared staff and we work on unclassified components and synthetic data.

Is three days realistic?

For a working, demoable version of a core idea, yes, and that is what the three-day build is. A full production system with billing, admin and hardening takes weeks, not days. We will tell you which one your situation actually needs.

Do we own the code?

Entirely. It ships into your repository on your own cloud accounts, documented so your team or your next hire can pick it up without us.

Can you also host the AI model privately?

Yes, and as part of the same engagement. If compliance means inference cannot leave your network, the serving layer and the application are built together rather than handed between vendors.