Custom software for Boston — built the AI-native way.
We pair senior engineers with an AI-accelerated delivery model to ship custom software for Boston's biotech, healthtech, and finance operators — without the fragile output that gives AI a bad name.
AI changed the economics of custom software. We rebuilt our process around it.
Boston is the country's deepest biotech and healthtech market and a serious financial-services, robotics, and B2B SaaS hub — anchored by world-class research institutions and decades of life-sciences capital. Senior engineering hires are six figures, months out, and almost always picked over by Kendall Square and Seaport employers. AI changes the math, but only when senior people own the parts AI gets wrong.
On a Boston biotech or healthtech build, AI cleanly handles the repetitive 70% — schemas, CRUD, scaffolding, lab-data UI, integration boilerplate. The 30% that punishes you in production is everything a GxP validator or HIPAA auditor cares about: PHI access logging, e-signature flows, chain-of-custody on lab samples, and the fact that 'good enough' for a dev environment is not a thing in validated environments. Raw AI output skips audit trails without telling you.
We build for Boston operators — biotech companies digitizing trial and lab workflows, hospital systems rolling out clinician tools, fintech and asset-management firms upgrading internal platforms, and B2B SaaS shipping into regulated buyers. 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 audit-log entry → access logged + reason captured + parameterized test// ✓ merged: e-signature flow on validated change, chain-of-custody fields on lab recordOn a Boston biotech or healthtech build, the failure modes are missing audit trails, skipped e-signatures, and chain-of-custody gaps. Senior review catches them before a HIPAA or GxP review does.
What we build for Boston 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.
Fintech & payments platforms
Customer-facing apps, ledgers, and risk pipelines for regulated, data-heavy products.
AI applications
Copilots, RAG, search, and agents grounded in your data, with guardrails and evals.
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 — fitting into the rhythms of a Cambridge biotech, a Kendall startup, or a Seaport finance team — not a junior pool with raw AI output bolted on.
Hiring senior engineers in Cambridge, Kendall, or the Seaport takes months and competes directly with biotech-scale comp packages. An AI-native team gets you shipping this week, scales monthly, and doesn't fight over the same fifty candidates everyone else is chasing.
Talk to an engineerTraditional Boston 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 Boston teams.
Do you work with Boston companies?
Do you build for HIPAA, GxP, or other regulated environments?
Can you ship into a validated (GxP) 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 — Boston.
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.