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 Durham — built the AI-native way.
We pair senior engineers with an AI-accelerated delivery model to design, build, and ship custom software far faster than a traditional shop — without the fragile, unreviewed code that gives AI a bad name.
AI changed the economics of custom software. We rebuilt our process around it.
Durham anchors the heart of the Research Triangle — home to Duke University and Duke Health, the broader RTP biotech and pharma ecosystem, and a fast-growing AI and B2B SaaS scene. Senior hires are six figures, months out, and picked over by Duke, pharma employers, and well-funded research-tech startups. AI changes the math, but only when senior people own the parts AI gets wrong.
AI is genuinely good at the repetitive 70% of software work: scaffolding, boilerplate, CRUD, first-draft UI, test stubs, glue code. It is dangerously unreliable at the other 30%: architecture, security, edge cases, and knowing when its own output is wrong. Teams that ship raw AI code learn this in production.
We build for Durham and Triangle operators — biotech and pharma companies digitizing trial and lab workflows, Duke Health-adjacent provider-side platforms, AI-first research-tech startups shipping production code on top of research prototypes, EdTech and university-facing platforms, 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: validated change shipped without e-signature (21 CFR Part 11 miss) → e-sig + reason + audit-logged// ✓ merged: chain-of-custody fields on lab record, IRB-mapped data-access policy on research datasetOn a Durham biotech or research-tech build, the failure modes are missing e-signatures, chain-of-custody gaps, and IRB-policy misses. Senior review catches them before a validator, an IRB, or a sponsor does.
What we build for Durham companies.
Biotech & lab software
LIMS extensions, trial-management tools, and AI for research pipelines, validated for regulated environments.
Healthcare & HIPAA-ready apps
Patient-facing portals, clinician tools, and care-coordination platforms built to HIPAA from day one.
AI applications
Copilots, RAG, search, and agents grounded in your data, with guardrails and evals.
EdTech & learning platforms
Student-facing apps, LMS extensions, and institutional tools that work for districts and universities.
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 who own architecture and quality — not a junior pool with raw AI output bolted on. We communicate in Eastern Time and integrate with your tools and cadence.
Durham's senior engineering pool is part of the Triangle-wide pool — three-to-six months to hire and constantly recruited by coastal remote roles. An AI-native team gets you shipping this week, flexes monthly, and doesn't need an RTP office.
Talk to an engineerTraditional Durham 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 Durham teams.
Do you work with Durham companies?
Do you build for GxP, HIPAA, and IRB-scoped 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
Durham teams usually need more than one kind of build. These are the practices behind the work above.
Let's build it — Durham.
Tell us what you're trying to ship. We'll give you an honest recommendation, a timeline, and a fixed quote — and tell you if AI-native is the right fit or not.