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.

EngineeringAI

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.

The problem

A dozen systems. One engineer.

engineer
Open issuesissue tracker
Past fixesclosed issues
Bill of materialspart lists
Warranty claimsrepairs done
Regulationsrules in force, rules coming
Trucks in the fieldtelemetry, fault codes
Material standardsspecs, design rules
The knowledge exists.

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.

signed in as you
ISSUE-2004REG-EU-EURO7-HD
How did we fix this before?
Open issuesPast fixesBill of materialsWarranty claimsRegulationsTrucks in the field

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.

How it works

From open issue to shared knowledge.

Find solutions to my open tasks
Reads your open issuesthe issue system · as you
Searches the verified fixesknowledge base · regulations
Keeps the same failure mechanismthe rest is left out
Drafts the closureone model call

Draft closure

Root cause
Countermeasure
Verification
EditSubmitApproved
Now in the knowledge base, for the next engineer.

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.

One conversation

The rest of the job, too.

illustrative data
Bill of materialsIs the fuel tank bill of materials complete?
1 combination, no part
Trucks in the fieldWhich cities report the most soot filter faults?
RegulationsWhich cybersecurity rules apply, and from when?
20252026202720282029
AnalysisA five-whys root cause. A full A3 report.
why?why?why?why?root cause
from warranty claims · figures included

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.

Governance

Safe to switch on.

you
your sign-in
EngineeringAIno data of its own
Open issuesown records · own rules
Knowledge baseown records · own rules
Bill of materialsown records · own rules
Trucks in the fieldown records · own rules
Warranty claimsown records · own rules
partyours
partyours
1 row hidden: outside your scope. Counted, never shown.
Access refused

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.

Cost and control

A decision before every answer.

“Which of my parts are not buildable?”

Decision model

one call · before any language model
In scope?yes
An attack?none found
Intentbill of materials
Cheapest model that answers well$$$$$$
“What's the weather in Istanbul?”out of scope
“Ignore your instructions…”injection
refused · no language model called
5¢budget, a routine question
<1¢what most answers cost

Nothing 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.

Transparency and voice

Nothing is hidden.

Trace

0.0sdecisionin scope · find solutions
0.4scallopen issues · as you
0.9scallknowledge base · search
1.6sdecisionsame failure: 3 kept
2.1smodeldraft the closure
costthis answer0.3¢

Architecture, live

yougatewaydecisionsystemsmodel

Voice

listening…
ENWhat are my open tasks?
TRÜzerimde açık görev ne var?
ROCe sarcini deschise am?

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.

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.
01Ask the question.02Close the issue.03Teach the next engineer.
EngineeringAI
3 minutes · sound on · Space pauses · ← → scenes · C captions · S the speech · F full screen