AI ERP with agents inside the systems you run
AI phone and voice agents for real calls
LLM.coPrivate, self-hosted LLM deployments
Legal AI infrastructure for firms
AI RFP discovery and response drafting
Automatic.coBusiness process automation
CyberAttack.aiThreat detection and defense
Secure AI virtual data roomsCustom 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?
More from DEV.co
Baltimore teams usually need more than one kind of build. These are the practices behind the work above.
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.