Custom software for Pittsburgh — built the AI-native way.
We pair senior engineers with an AI-accelerated delivery model to ship custom software for Pittsburgh's robotics, applied-AI, and healthcare operators — without the fragile output that gives AI a bad name.
AI changed the economics of custom software. We rebuilt our process around it.
Pittsburgh is the country's leading robotics and applied-AI research market, anchored by Carnegie Mellon and a strong autonomy, healthcare, and B2B SaaS engineering scene from the Strip District out through Oakland. Senior hires are six figures, months out, and picked over by CMU spinouts, UPMC, and the AV/robotics scene. AI changes the math, but only when senior people own the parts AI gets wrong.
On a Pittsburgh robotics, AI, or healthcare build, AI handles the repetitive 70% — schemas, scaffolding, CRUD, dashboards, glue. The 30% AI gets wrong is the part that punishes a robotics or healthcare team: simulation-only assumptions that break in the real world, sensor-data pipelines that drop late messages, PHI access without audit logging, and integration with bespoke research-lab tools AI invents instead of reads. Raw AI output ships those silently.
We build for Pittsburgh operators — robotics and AV teams shipping production code on top of research-grade prototypes, UPMC and provider-side healthtech platforms, B2B SaaS for manufacturers in Western PA, 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: robotics simulation-only assumption breaks under real sensor noise → noise model + replay test// ✓ merged: ordered-event reconstruction for out-of-order sensor messages, audit-logged PHI access on the healthcare sideOn a Pittsburgh robotics or healthcare build, the failure modes are simulation-only assumptions, late sensor data, and missing audit trails. Senior review catches them before a field test or a HIPAA review does.
What we build for Pittsburgh companies.
AI applications
Copilots, RAG, search, and agents grounded in your data, with guardrails and evals.
Healthcare & HIPAA-ready apps
Patient-facing portals, clinician tools, and care-coordination platforms built to HIPAA from day one.
MES, IIoT & production software
Shop-floor systems, plant analytics, and supplier portals that connect old machines to new tools.
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.
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, AI/robotics realities, and quality — fitting into a Strip District robotics startup, an Oakland research-software team, or a UPMC product cadence — not a junior pool with raw AI output bolted on.
Pittsburgh's senior engineering pool is split between CMU spinouts, UPMC, and the autonomy scene — three-to-six months to hire, and constantly recruited by AV and coastal AI employers. An AI-native team gets you shipping this week, flexes monthly, and doesn't need an Oakland office lease.
Talk to an engineerTraditional Pittsburgh 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 Pittsburgh teams.
Do you work with Pittsburgh companies?
Do you work with robotics or AV teams pushing research code to production?
Do you build for HIPAA and provider-scale data?
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 — Pittsburgh.
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.