Custom software for Raleigh — built the AI-native way.
We pair senior engineers with an AI-accelerated delivery model to ship custom software for the Research Triangle's biotech, healthcare, and research-software operators — without the fragile output that gives AI a bad name.
AI changed the economics of custom software. We rebuilt our process around it.
The Research Triangle (Raleigh, Durham, Chapel Hill) anchors one of the country's largest biotech, healthtech, and research-software markets — home to RTP-based pharma and CROs, Duke and UNC's research-software ecosystems, and a growing B2B SaaS and AI scene. Senior hires are six figures, months out, and picked over by pharma, hospital systems, and well-funded research-tech startups. AI changes the math, but only when senior people own the parts AI gets wrong.
On a Triangle biotech, healthtech, or research-tech build, AI cleanly handles the repetitive 70% — schemas, scaffolding, CRUD, dashboards, lab-data UI. The 30% AI gets wrong is the part GxP validators, IRBs, or HIPAA auditors will catch: missing audit trails on PHI, unsigned validated changes, chain-of-custody gaps on lab samples, and integration with bespoke research tools AI invents instead of reads. Raw AI output skips audit trails without telling you.
We build for Triangle operators — biotech and pharma companies digitizing trial and lab workflows, hospital systems rolling out clinician and patient tools, AI-first research-tech startups shipping production code on top of research prototypes, and EdTech and university-facing platforms. 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 Triangle 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 Raleigh 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 in Eastern Time who own architecture, compliance posture, and quality on regulated work — fitting into an RTP biotech rhythm, a Durham research-software team, or a Raleigh SaaS PR cycle — not a junior pool with raw AI output bolted on.
The Triangle's senior engineering pool is split between RTP pharma, the Duke and UNC research-software bench, and a growing venture-backed startup scene — 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 lease.
Talk to an engineerTraditional Raleigh 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 Raleigh teams.
Do you work with Raleigh companies?
Do you build for GxP, HIPAA, and IRB-scoped environments?
Do you work with research code that needs to be productionized?
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 — Raleigh.
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.