Agentic AI · Automotive Engineering
Agentic AI for the automotive enterprise.
Autonomous systems for the teams who build, make, and service vehicles — engineered for the compliance and scale that global OEMs and their supplier networks run on.
- System FORGE
- 01·FORGE
- System CABIN
- 02·CABIN
- System LINE
- 03·LINE
- System SERVICE
- 04·SERVICE
The vehicle became software. Engineering didn't.
01
Fragmented toolchains
Requirements in one tool, code in another, test evidence in a spreadsheet. Every release re-proves what the last one already proved.
02
Compliance as bottleneck
ISO 26262 and ASPICE exist to protect the vehicle, not slow it down. Most teams experience them as the opposite.
03
Manual triage everywhere
From the plant floor to the service bay, the same pattern repeats: people doing what pattern-matching should do, with less time left for what judgment should do.
One agentic architecture, built for how vehicles get built.
Built for OEM-scale engineering
Our engineering practices are designed to align with these standards. TATV LABS is not a certification body, and alignment does not constitute formal certification.
An engagement model built for a founder-led team.
01
Scope
A short technical assessment of one workflow — traceability, cabin assistant, line inspection, or warranty triage. We'll tell you honestly if agentic AI is the right fit before you commit to anything.
02
Pilot
A working system on real data from one team or one line, with success criteria set upfront and a human sign-off point built into every agent action.
03
Scale
Once the pilot earns its keep, we extend it across teams, plants, or markets — same architecture, same compliance posture, no rebuild.
Tattvais Sanskrit for “thatness” — the essential, irreducible nature of a thing. It's the closest word we found for how engineering should work: start from what a system actually is and actually needs, not from what's fashionable to bolt onto it.
Read more about us →Let's talk about your engineering bottleneck.
One conversation, direct with the people building the system — not a sales queue.
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