The bottleneck
Engineering teams spend too much time finding, checking, and carrying context between systems.
Contact sales About Enginius
AI must earn trust before it earns adoption.
Enginius builds an Engineering Intelligence Platform for teams working with complex engineering records and demanding review requirements.
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Who we are · 01 / 03
Engineering has its own intelligence challenge.
Engineering knowledge needs to be useful to AI while keeping precision, governance, and traceability in view.
Leadership
The people behind Enginius.
Our team brings experience across aerospace, defense, medical devices, automotive, engineering software, and enterprise AI.
Board of advisors
Industry experience, applied to engineering AI.
How we started
The two things generic AI asks for are the two things a regulated engineering organization can't give.
Generic AI can search and draft, but without engineering context it cannot solve the regulated engineering problem on its own.
Connexa is the intelligence layer: it organizes engineering records and makes their context available to native applications and the AI tools teams use.
How we build
Domain context, source links, and human review are part of the workflow.
Domain-native, not general-purpose
We build models and an ontology around your controlled corpus, not the open web.
Repeatable by design
Keep the sources and review record connected to the output.
Human-in-the-loop, by design
Design workflows so outputs can be reviewed alongside source references. The engineer stays the authority; Enginius supports the manual search, not the judgment.
Why now
What's changed.
AI adoption is accelerating.
Teams can search and draft with general-purpose AI, but regulated engineering work depends on more than a model.
Context is the missing layer.
Engineering records, relationships, revisions, and review need to stay connected to the task.
Engineering needs its own intelligence layer.
Connexa organizes engineering knowledge so native applications and configured AI tools can work from that context.
Workflows need to remain reviewable.
Source links and human review help teams inspect how an answer relates to the engineering record.
Careers
We're building infrastructure for industries where getting it wrong isn't an option.
If that's the kind of problem you want to work on, we'd like to hear from you.
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