Custom software for Fremont — 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.
Fremont anchors the southern East Bay — home to Tesla's Fremont factory, a deep semiconductor and hardware-software ecosystem, and growing B2B SaaS demand. Senior hires are top-of-market, months out, and picked over by Tesla, semiconductor employers, and the venture-backed challengers around them. 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 Fremont operators — manufacturing and shop-floor apps for hardware and EV teams, vehicle-data and telematics pipelines, semiconductor supply-chain tools, B2B SaaS shipping into mid-market and enterprise buyers, 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: concurrent shop-floor write without atomic update → CAS + retry + concurrent-write test// ✓ merged: ordered-event reconstruction for late telematics, idempotent supplier-EDI handlerOn a Fremont manufacturing, mobility, or EV build, the failure modes are concurrent-write races, late telematics, and non-idempotent supplier EDI. Senior review catches them before a line stoppage or a vehicle-data corruption does.
What we build for Fremont companies.
MES, IIoT & production software
Shop-floor systems, plant analytics, and supplier portals that connect old machines to new tools.
Mobility, telematics & connected vehicle
Vehicle data pipelines, fleet apps, and driver-facing tools built for safety and reliability.
AI applications
Copilots, RAG, search, and agents grounded in your data, with guardrails and evals.
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 who own architecture and quality — not a junior pool with raw AI output bolted on. We communicate in Pacific Time and integrate with your tools and cadence.
Fremont's senior engineers split between Tesla, semiconductor employers, and a Bay-wide remote pool — top-of-band, equity-rich, three-to-six months to hire. An AI-native team gets you shipping this week, flexes monthly, and doesn't compete with EV-scale comp packages.
Talk to an engineerTraditional Fremont 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 Fremont teams.
Do you work with Fremont companies?
Do you work with vehicle data, telematics, and EV-adjacent systems?
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 — Fremont.
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.