Market
Automotive
Embedded expert in software-defined vehicles and intelligent systems
Faster to certified software. Human-signed. Fixed price.
The step to autonomy was never about a smarter algorithm. It was about trust.
We have worked on driver assistance with leading OEMs for two decades, and built a level 3 automated truck platooning system with a full ISO 26262 safety case. What made it work was trust: evidence and accountability at every step.
Software engineering is taking the same step now. Most engineering teams already use AI, and many still worry what it means for safety. Our answer is Evidence Driven Engineering.
Evidence Driven Engineering: our lane-based, AI-driven development method
At every step of the V-cycle, AI drafts the code, tests and documentation. Our engineers specify, review and sign off. Each work package gets a lane based on its consequence of failure. Our automotive-grade QMS applies across the whole scope; what differs per lane is who signs off, and against what.
| Lane | Scope | Who signs off, against what |
|---|---|---|
| Safety lane | Safety-critical embedded code (ASIL): control logic, interrupts, timing-critical paths | A qualified safety engineer, at every V-cycle step, against the safety requirements |
| Embedded lane | Non-safety embedded code: non-ASIL modules, drivers, utilities | An embedded engineer, per module, against unit and integration tests |
| Product software lane | Middleware, AUTOSAR adapters, integration layers, frameworks | A software engineer, per integrated increment, against automated integration tests |
| Delivery support lane | Test tooling, CI/CD, documentation, test reports, analytics | The delivery owner, on the output, against agreed rules and formats |
We take no credit for the AI. Every AI output is verified as if it were written by hand, so safety never depends on the AI being right.
Proof of Acceleration: see the speed-up before you commit
How much faster could your next development project go? In a Proof of Acceleration, we show you on your own project, before you commit. You bring an engineering challenge and we agree on the scope together. Within a maximum of two weeks, we review it, get familiar with your context, set up the framework and work through it with Evidence Driven Engineering, our AI-driven development method.
You then get a binding, fixed-price offer covering lead time, price and quality level, so you can compare it side by side with your own estimate. The Proof of Acceleration costs €5.000 (excl. VAT). If you go ahead within three months, we deduct the full €5.000 from the project price.
Proof included: the evidence bundle
Every delivery comes with traceability from requirement to test result, quality-gate results, an audit log of who approved what, and a reproducible build. Produced alongside the work, not assembled at the end.
A fixed price for the accepted result
We agree the result, milestones, evidence and change boundaries up front. You pay for an accepted result; we carry the delivery risk within that scope. Requirements change? Anything outside the agreed boundaries becomes a change request, priced before we start it.
Your code, your IP, your rules
- Your code is processed only in environments approved for it, under our TISAX-certified information security management.
- Your code is never used to train AI models.
- Your data stays in the EU. On request, we run the AI models in the EU as well.
- We sign a standard AI usage agreement with you, aligned with your OEM’s rules on AI and source code.
- On request, we work in a fully isolated environment.
Built on functional safety, cyber security and an automotive-grade QMS
Functional safety from ASIL A to D, cyber security to ISO 21434 and UNECE R155, and an automotive-grade quality management system, with a track record at the leading vehicle manufacturers.
The same discipline for Smart mobility, Robotics, Defence and Transport. Together with Automotive, that is SMARDT.
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