Every truck on the road is the answer to thousands of engineering questions. And most of those questions… have been answered before. The hard part is finding that answer, at the moment you need it. This is EngineeringAI.
Every truck on the road is the answer to thousands of engineering questions.
Most of them have been answered before.
The hard part is finding that answer — at the moment you need it.
Engineering knowledge, in the room.
A product development engineer works across a dozen systems. Open issues in one. Past fixes in another. The bill of materials, warranty claims, regulations, trucks in the field — each behind its own screen, its own sign-in, its own rules. The knowledge exists. It just isn't in the room when the decision is made.
A dozen systems. One engineer.
It just isn't in the room when the decision is made.
EngineeringAI brings it into the room. One conversation, signed in as you. Ask in plain language, typed or spoken. It reaches into each system on your behalf, and comes back with an answer you can check.
EngineeringAI brings it into the room.
Say: find solutions to my open tasks. It reads your issues. It searches the fixes your company has already verified, and keeps only the ones that fail the same way. Then it drafts the closure: root cause, countermeasure, verification. You edit. You say, submit. Your manager approves — and that solution becomes knowledge for the next engineer.
From open issue to shared knowledge.
Draft closure
The same conversation covers the rest of the job. Is the fuel tank bill of materials complete? Which cities report the most soot filter faults? Which cybersecurity rules apply, and from when? Need a five whys root cause, or a full A3 report? It writes one, from the warranty claims, with the figures behind it.
The rest of the job, too.
And this is what makes it safe to switch on. EngineeringAI holds no data of its own. Every system keeps its own records, and enforces its own rules. The assistant calls each one as you, with your sign-in. If you can't see a row on the screen, you won't see it in the answer. And when access is refused, it tells you why — and how to ask for it.
Safe to switch on.
You don't have this permission yet. Here is why, and here is how to request it.
Before any language model runs, a small decision model reads the question. Is it in scope? Is it an attack? What does the user want, and which is the cheapest model that will answer it well? Off-topic questions and injected instructions are refused before a language model is ever called. Everything else gets a budget. A routine question: 5 cents. Most cost a fraction of 1 cent.
A decision before every answer.
Decision model
one call · before any language modelNothing is hidden. Every answer carries its trace: each decision, each call, each cent. A live architecture view shows the question travelling through the system. And when your hands are busy, just talk — in English, Turkish or Romanian. Interrupt it mid-sentence. It stops, and listens.
Nothing is hidden.
Trace
Architecture, live
Voice
listening…EngineeringAI. What your company already knows, and the rules that bind what comes next, in one conversation. As you — and only what you're allowed to see. Ask the question. Close the issue. Teach the next engineer.
and the rules that bind what comes next,
in one conversation.
As you, and only what you're allowed to see.