Software-defined and AI-defined vehicles
Software‑defined vehicles need software‑defined validation.
Test your ECU software from the first line of code to the car on the road.
Book a demo01 / The products
One application to write and run the tests.See Studio
One bench for when the code has to meet real silicon.See the hardware
02 / The platform
Write the test once. Run it everywhere.
One test project runs in simulation, on Validative hardware, and on benches already in use.
Author once in Validative Studio
The desktop application where tests are written. One test project in version control, running on every commit.
Run before silicon exists
Production code against a simulated vehicle, on a normal PC.
Run the same tests on real hardware
Real flashed binary, real bus traffic, fault injection.
Connect Studio to existing HIL rigs with an adapter, built for each rig. dSPACE, Vector, NI, Typhoon and rigs built in-house.
Studio runs on Windows. Tests are Python files in a repository.
See how Studio works03 / Works with existing hardware
Keep the bench. Lose the queue.
Every hardware target sits behind the same interface. A rig already in use becomes one more place the tests can run.
The same suite, on a desk unit or on the rig already in the lab.
See the hardware04 / AI-defined vehicles
AI-defined functions need AI-scale validation.
A function that learns has no single right answer to check. Proof comes from covering the space, not from counting passes.
100% passed is not the same as 100% tested.
Switch to pass rate → the same run, told the flattering way
Every run is reported the same way, whichever target produced it.
See how coverage is reportedSee it run
You’re building the future of mobility.Don’t let the road become your test bench.
Twelve minutes. A real control function, a seeded bug, and a pipeline that catches it before anyone touches hardware. No slides.
The pilot package is scoped to one ECU. Tell us the unit, the interfaces it uses and the tests you run today — four fields, no call required.
