Embedded software validation, from years to weeks.
Integration requirements become executable contracts.
AI validates at every commit — not in a gate at the end.
The compliance trail is a byproduct of the build.
Automotive · Aerospace · Medical devices — ISO 26262 · DO-178C · IEC 62304
5 yrs
Founder in automotive embedded validation
Your hardware
Agents run on local inference — code never leaves the facility
Walk away
If it doesn't catch what your bench already catches, you walk away
Eighteen months quietly becomes three years.
Not because your engineers aren't good. A modern vehicle carries 150+ interacting software components, each developed against a slightly different interpretation of the interface spec. The process compounds against them.
Review, regression suites, manual HIL cycles — designed for a fraction of today's component count. They don't scale. Integration is where programmes lose 8–18 months, and where field defects hide until they become quality claims in the hundreds of millions.
And every month of delay is a market that moves further from the product you're building.
That is not an execution problem. It never was.
The validation loop — what continuous AI validation means in practice.
Every interface between two modules has its own executable contract. No task closes until the boundary test against the neighbouring module passes.
The test spec is the architecture.
- One artifact
- The test carries the business requirement, the contract with the neighbouring module, the timing budget, the safety class. Executable. Versioned.
- Owned end-to-end
- The system decomposes into work packages an agent can own. Sequenced by dependency and boundary; rework loops handled. On local inference — your code never leaves the facility.
- Structurally impossible
- An agent can't produce output that violates the integration contract — not because a reviewer catches it later, but because the constraint is structural.
- The audit becomes retrieval
- ISO 26262, DO-178C, IEC 62304: the evidence chain is generated as the work happens. Timestamped, traceable. The audit that used to take six months becomes a retrieval exercise.
Validated by AI. Signed off by engineers.
Nothing ships on model output alone. Every result is reviewable evidence — your engineers sign what they can trace.
Automotive
ISO 26262 ASIL-D · UNECE R155
150+ ECUs, software-defined features updating over the air. The integration surface is the critical path.
Aerospace
DO-178C DAL-A
Same integration complexity, higher certification stakes, longer audit cycles. Months of manual safety-case assembly — eliminated.
Medical devices
IEC 62304 · FDA premarket
Fewer components than a vehicle; each one still needs a complete, traceable safety case. A documentation project becomes a retrieval exercise.
Mauricio Barahona Irizarri joined automotive in 2021 to test embedded software and kept seeing the same problem: errors found late, rework delaying release. He pushed for a better way and was told he was misaligned. It made him ill — so he decided to build it himself. Melvix is an AI-native pipeline for safety-critical embedded software, validation first.
We run it on one interface and two modules, on your hardware. If it doesn't catch what your bench already catches, you walk away.
One person so far. The orchestration engine is designed, not fully built. If you've lived the test campaign from the inside and want to build it with me — that's what this form is for too.
Talk to us.
One working day response. No demo calls. No calendar links.