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Secure AI virtual data roomsCustom software for Detroit — built the AI-native way.
We pair senior engineers with an AI-accelerated delivery model to ship custom software for Detroit's auto, mobility, and advanced-manufacturing operators — without the fragile output that gives AI a bad name.
AI changed the economics of custom software. We rebuilt our process around it.
Detroit anchors the country's largest auto, mobility, and advanced-manufacturing software market, with growing fintech, logistics, and B2B SaaS demand layered on top — from Big Three OEMs and their tier-one suppliers to the venture-backed mobility startups around Ann Arbor and downtown. Senior hires are six figures, months out, and picked over by OEMs, suppliers, and the fast-growing mobility scene. AI changes the math, but only when senior people own the parts AI gets wrong.
On a Detroit auto, mobility, or manufacturing build, AI handles the repetitive 70% — schemas, scaffolding, CRUD, dashboards, glue. The 30% AI gets wrong is the part that punishes you on the line or on the road: race conditions on a shop-floor write, time-zone bugs in supplier integrations, vehicle-data pipelines that drop late messages, and CAN/LIN tag conventions AI invents instead of reads. Raw AI output ships those silently.
We build for Detroit operators — supplier portals and shop-floor apps for tier-one and tier-two manufacturers, vehicle-data pipelines for OEM and mobility startups, dealer and aftermarket platforms, fintech for the auto-finance side, 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: vehicle-data pipeline drops late telematics messages → event-sourced with version + replay test// ✓ merged: ordered-event reconstruction for out-of-order CAN messages, idempotent supplier-EDI handlerOn a Detroit mobility, manufacturing, or supply-chain build, the failure modes are late telematics, out-of-order CAN messages, and non-idempotent supplier EDI. Senior review catches them before a recall risk or a line stoppage does.
What we build for Detroit companies.
Mobility, telematics & connected vehicle
Vehicle data pipelines, fleet apps, and driver-facing tools built for safety and reliability.
MES, IIoT & production software
Shop-floor systems, plant analytics, and supplier portals that connect old machines to new tools.
Supply-chain & ops platforms
Routing, dispatch, inventory, and visibility tools that replace clipboards and spreadsheets.
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, industrial-data quality, and integration with PLM and ERP — fitting into a Dearborn supplier-engineering rhythm, an Ann Arbor mobility-startup standup, or a downtown Detroit product team — not a junior pool with raw AI output bolted on.
Detroit's senior engineering pool is concentrated around the OEMs, the tier-one supplier base, and a growing mobility and AV scene — three-to-six months to hire, and constantly recruited by competitors and remote coastal roles. An AI-native team gets you shipping this week, scales monthly, and doesn't ask for a downtown office.
Talk to an engineerTraditional Detroit 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 Detroit teams.
Do you work with Detroit companies?
Do you work with vehicle data, telematics, or CAN-adjacent systems?
Can you integrate with our PLM, ERP, or supplier EDI?
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
Detroit teams usually need more than one kind of build. These are the practices behind the work above.
Let's build it — Detroit.
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.