Custom software for Washington, D.C. — built the AI-native way.
We pair senior engineers with an AI-accelerated delivery model to ship custom software for D.C., Northern Virginia, and Maryland operators — government, defense, and the contractors that serve them — without the fragile output that gives AI a bad name.
AI changed the economics of custom software. We rebuilt our process around it.
The DMV anchors the country's largest government, defense, and cybersecurity software market, with a deep contracting, FedRAMP, and intelligence-community engineering ecosystem from Arlington to Tysons to Fort Meade. Senior hires are cleared, six figures, months out, and picked over by primes, mid-tier integrators, and the agencies themselves. AI changes the math, but only when senior people own the parts AI gets wrong.
On a DMV gov or defense build, AI is fast and useful for the repetitive 70% — schemas, CRUD, dashboards, scaffolding, glue. The 30% AI gets confidently wrong is the part FedRAMP, CMMC, or your 3PAO will actually score: boundary diagrams that don't match the code, logging that doesn't cover an authentication event, supply-chain provenance that AI invents, accessibility (508) edge cases, and integration with cleared systems that AI can't see. Raw AI output fails those controls invisibly.
We build for DMV operators — civilian agencies modernizing public-facing services, defense and intel software vendors shipping into contract milestones, GovTech startups working toward FedRAMP, and the contractors that need senior engineering capacity without adding cleared headcount. Our model: AI handles scaffolding and the repetitive 70%; a senior engineer owns architecture, security review, and signs off on every change.
AI writes the first draft. A senior engineer signs off.
Every change runs through review for security, tests, and architecture before it ships — that review is the product.
const draft = await ai.generate(spec) // minutes, not daysreview(draft, { security: true, tests: true, architecture: true })// ✗ rejected: auth event without an audit-log entry (NIST 800-53 AU-2 miss) → logged + correlation id + control-mapped test// ✓ merged: boundary-correct logging, supply-chain SBOM on every build, 508-checked component variantOn a DMV gov or defense build, the failure modes are logging gaps against AU/IA controls, boundary diagrams that don't match code, and 508 misses. Senior review catches them before a 3PAO or an agency assessor does.
What we build for Washington, D.C. companies.
GovTech & FedRAMP-ready apps
Citizen-facing services and internal systems built for procurement, accessibility, and audit.
Defense & national-security software
Mission tools and analytics built for the security, classification, and integration standards your contracts require.
AI applications
Copilots, RAG, search, and agents grounded in your data, with guardrails and evals.
Modernization
Move legacy systems onto a modern, maintainable stack — incrementally, no big-bang.
SaaS platforms
Multi-tenant products with auth, billing, and dashboards — MVP to scale.
Internal tools & copilots
Operations tooling that replaces the spreadsheet-and-tribal-knowledge workflow.
A senior team that moves at AI speed.
You work with senior engineers in Eastern Time who own architecture, control-mapping, and quality on the unclassified surface of your work — fitting alongside an Arlington prime, a Tysons subcontractor, or a Bethesda civilian team — not a junior pool dropping raw AI output into a control catalog.
The DMV senior engineering market is dominated by clearance status and prime-contractor headcount — three-to-six months to hire uncleared, much longer cleared. An AI-native team accelerates the unclassified portion of your scope this week and frees your cleared bench for the work only they can do.
Talk to an engineerTraditional Washington, D.C. dev shop vs. AI-native.
| Traditional Agency | DEV.co (AI-native) | |
|---|---|---|
| Time to working software | Months | Days to weeks |
| Cost | Full senior rates, all hours | Lower — AI removes the rote work |
| Code quality | Good (if senior) | Same bar — every change reviewed |
| AI risk | — | Contained by senior review + tests |
| You own the code | Usually | Always — full repo on day one |
| Scales with you | Slow to staff up | Flex up or down monthly |
Common questions from Washington, D.C. teams.
Do you work with Washington, D.C. companies?
Do you work with FedRAMP, CMMC, or NIST 800-53 environments?
Can you ship into a FedRAMP-moderate or DoD IL4 environment?
Is AI-built software production-ready?
Will we own the code?
How fast can we start?
Can you work with our existing team?
Let's build it — Washington, D.C.
Tell us what you're shipping. We'll give you a senior engineer's read, an honest timeline, a fixed quote, and tell you whether AI-native is the right fit for your build.