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AI development

AI Development Company in Washington, DC

The best AI Development Company in Washington, DC, at the best available price.

$0 upfrontPay per accepted checkpointSenior engineer, no agency markup

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.

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.

AI in Washington is under more scrutiny than almost anywhere. We build research and document tools with citations, human review and a clear record of what the model did.

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
Working builds from $1,000. Full production systems from $12,000.

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.

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.

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.
One orchestrator runs the flow, and every tool call goes through the same MCP harness, so permissions, retries and logs live in one place.
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. 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.

02

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.

03

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.

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.

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.