Custom software for Baltimore — built the AI-native way.
We pair senior engineers with an AI-accelerated delivery model to ship custom software for Baltimore's healthcare, biotech, and federal-civilian operators — without the fragile output that gives AI a bad name.
AI changed the economics of custom software. We rebuilt our process around it.
Baltimore anchors one of the country's deepest healthcare and biotech markets — home to Johns Hopkins, the University of Maryland Medical System, NIH-adjacent contractors, the Port of Baltimore, and a fast-growing govtech and B2B SaaS scene. Senior hires are six figures, months out, and picked over by hospital systems, biotech employers, and the venture-backed challengers around them. AI changes the math, but only when senior people own the parts AI gets wrong.
On a Baltimore healthcare, biotech, or federal-civilian build, AI handles the repetitive 70% — schemas, scaffolding, CRUD, dashboards, glue. The 30% AI gets wrong is the part Hopkins engineers, IRBs, your 3PAO, or compliance team will catch: PHI access without audit logging, accessibility regressions on a citizen-facing portal, integration with bespoke research-lab or federal-civilian systems AI invents instead of reads, and supply-chain provenance AI invents instead of documents. Raw AI output ships those silently.
We build for Baltimore operators — Hopkins-adjacent provider-side platforms, biotech and research-tech teams bridging research and production, federal-civilian contractors shipping into FedRAMP-bound programs, port-logistics platforms, B2B SaaS shipping into mid-market buyers, and modernization of decades-old enterprise stacks. 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: PHI access without reason captured on a research-hospital tool → reason + audit-log + access-policy test// ✓ merged: boundary-correct logging on federal-civilian surface, accessibility-tested citizen portal flowOn a Baltimore healthcare, biotech, or govtech build, the failure modes are missing PHI audit trails, boundary leaks against control catalogs, and accessibility regressions. Senior review catches them before a HIPAA review, a 3PAO, or a 508 audit does.
What we build for Baltimore companies.
Healthcare & HIPAA-ready apps
Patient-facing portals, clinician tools, and care-coordination platforms built to HIPAA from day one.
Biotech & lab software
LIMS extensions, trial-management tools, and AI for research pipelines, validated for regulated environments.
GovTech & FedRAMP-ready apps
Citizen-facing services and internal systems built for procurement, accessibility, and audit.
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.
AI applications
Copilots, RAG, search, and agents grounded in your data, with guardrails and evals.
A senior team that moves at AI speed.
You work with senior engineers in Eastern Time who own architecture, regulated-environment quality, and accessibility — fitting into a Hopkins-area health-IT cadence, an Inner Harbor SaaS standup, or a Federal Hill govtech PR review — not a junior pool with raw AI output bolted on.
Baltimore's senior engineering pool is concentrated around Hopkins, UMMS, federal-civilian contractors, and a growing venture-backed bench — three-to-six months to hire and quietly poached by DMV and remote coastal roles. An AI-native team gets you shipping this week, flexes monthly, and doesn't need an Inner Harbor office.
Talk to an engineerTraditional Baltimore 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 Baltimore teams.
Do you work with Baltimore companies?
Do you build for HIPAA, IRB, and research-hospital environments?
Do you work with FedRAMP and federal-civilian environments?
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 — Baltimore.
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.