Autonomous agricultural rover
RTK guidance, hitch & PTO control, path following.
0xSense
Embedded control, functional safety and cybersecurity for mobile machinery — accelerated by AI.
Matthieu Stark · Founder & Principal Engineer
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Context
Mobile machines have no room for error
A market under regulatory and human pressure
- Machines weighing several tonnes, driving on public roads close to people: safety is not an option.
- Functional-safety certification (ISO 25119, IEC 61508, EN 13849) is becoming unavoidable, yet is rarely anticipated at design time.
- Growing software development workload: hardware and software architectures keep getting more complex.
- A tight hiring market: experienced developers are hard to find (functional safety, machine knowledge, cybersecurity…).
- CRA: Cyber Resilience Act.
- Time-to-market under pressure: development cycles keep accelerating.
Our answer
A system integrator focused on embedded software
An application engineer specialised in AI tools
- One senior application engineer covers the whole development chain: from the idea to the safety-validation technical file.
- AI tools to accelerate the development process and boost agility.
- V-model mastered, accelerated by AI.
- Over 15 years of recognised experience in embedded software development: PLd ECUs, visualisation, telematics…
- Standards mastered: ISO 25119, IEC 61508, ISO 13849…
- Training and skills transfer guaranteed.
- Experience and consulting in cybersecurity for mobile machinery.
Comparison
Classic development vs AI-driven development
Same rigour, plus a force multiplier
Classic development
- One developer, one human pace
- Iterations in days
- Test coverage limited by available time
- Billing: 100% of the hours
AI-driven development — 0xSense
- Equivalent to 15 qualified virtual developers, orchestrated by a senior engineer
- Iterations in minutes, tests generated continuously
- Every AI-generated line is qualified and traced before entering production
- Billing: 40% of the hours (testing and software architecture)
Digital dev
AI, qualified for safety
A Digital Dev team, supervised and verified
qualification pipeline for AI-generated code
- AI-generated code passes through the same gates as human code: review, tests, coverage proof.
- No line reaches production firmware without traceability to requirements.
- You stay in control of your project: source code and know-how are handed over in full.
Key data
Key figures
15×
Equivalent AI virtual developers
87%
Measured test coverage
≤10 ms
Validated critical reaction time
15+ years
Combined experience on mobile machinery
Growth
A team built to scale
A core of senior engineers, a network of qualified developers
- One main point of contact: an application engineer backed by AI as an agile solution.
- A network of qualified developers, activated according to project load (V-model).
- Tailored training to support and accelerate the skills transfer.
- Partner cybersecurity experts to support you through the audits.
“
The source code we generate belongs to you.
References
Examples of AI-boosted development projects
Hydraulic handling platform
E-Stop chain, tip-over limiters, duty cycles with personnel nearby.
Aerial platform
Envelope protection, simulation-first testing, light aeronautics embedded.
Detailed references and contacts provided on request, under confidentiality.
Without vs with 0xSense
What actually changes
| Criterion | Without 0xSense | With 0xSense |
|---|---|---|
| Time to commissioning | Several months | A few days / weeks (software-in-the-loop) |
| Certification file | Reconstructed after the fact | Traced from the first line of code |
| Code ownership | Possible dependency on the vendor | Sources and know-how handed over |
| AI and cybersecurity skills | To acquire on your own | Transferred through training |