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Product and MVP development

AI Product & MVP Development in Washington, DC

The best AI Product & MVP Development in Washington, DC, 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.

The Washington region is built around the federal government and the companies, contractors, associations and nonprofits that work with it, with Northern Virginia's technology corridor and data centre cluster next door. Software here is often bought through procurement rules, and many buyers are mission-driven organisations with tight budgets and strict accessibility requirements.

An association app or a nonprofit platform in Washington has to be accessible, secure and affordable to run. The build plans for accessibility standards and low hosting costs from the start, not as a fix before launch.

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.

Washington, DC, District of Columbia

Who builds here

Federal agencies and government contractorsAssociations, nonprofits and think tanksNorthern Virginia's technology and data centre corridorPolicy, media and advocacy
Best fit in Washington, DC

AI Product & MVP Development

Washington's associations, nonprofits and policy organisations search for app developers more than for anything else we offer here, and most need a focused product built on a fixed budget.

You are on it
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 Washington, DC

What actually applies here.

Regulation and data

Cloud services sold to federal agencies generally need FedRAMP authorisation, and defence contractors are being phased into the Defense Department's CMMC cybersecurity certification. Federal agencies follow Office of Management and Budget guidance on how they govern and buy AI, revised in 2025. Public-facing sites for federal agencies must meet Section 508 accessibility standards, and many associations adopt the same bar. The District has its own data breach law covering residents' personal information.

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

Four or more hours of daily overlap with Eastern time, calls in your morning, and same-day replies on working days.

Can you work on federal contracts?

Not on work that needs a US security clearance or FedRAMP authorisation, which we do not hold. We work with associations, nonprofits and commercial companies, and on unclassified components where a prime contractor allows it.

Do you build to accessibility standards?

Yes. We build to WCAG 2.1 AA, which is the usual target for Section 508 and for most associations, and test with keyboard navigation and screen readers before handover.

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.