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Trust
Regulated industries are being told to adopt AI and told never to let their data leave. The only honest resolution is to bring the intelligence to the data. Everything else is a compromise somebody eventually has to explain to an auditor.
Lane BessFormer CEO, Palo Alto Networks · Former COO, ZscalerThe problem
Generic AI can search and draft. In regulated engineering, it also needs an intelligence layer that connects authoritative records, relationships, revisions, and review context.
Skilled engineers spend hours on low-value document work instead of design.
Knowledge is lost and rebuilt across teams, programs, and revisions.
Manual reviews and approvals stretch out critical program timelines.
The platform
One governed architecture connecting authoritative engineering sources to Enginius applications and the enterprise AI tools your teams already use.
Internal systems, engineering records, standards, and regulations.
Organizes and connects engineering knowledge.
Enginius native applications and the enterprise AI tools teams already use.
Who it is for
Engineering workflows
From search to generation and review, Connexa keeps engineering knowledge connected to the task in front of your team.
Search connected engineering records and keep the source beside the answer.
Use controlled templates and authoritative project knowledge to build documents.
Compare engineering artifacts with criteria, policies, standards, and regulations.
Keep relationships and revisions connected through the engineering digital thread.
Give native applications and configured agents engineering context to work from.
What we hold ourselves to
Deployment and data flows are reviewed against your environment and security requirements.
Keep source links with outputs and make human review part of the workflow.
Domain-adapted models grounded in your controlled corpus rather than the open web.
Design workflows around reviewable steps and an inspectable record.
Scope the commercial model around your deployment and use requirements.
Sovereign deployment
Deployment is designed around your operating boundary. On-premise, private-cloud, and air-gapped configurations are evaluated against your infrastructure and security requirements; data flows and controls are confirmed for each environment.
Explore sovereign deploymentZero Data Leakage · Zero Token Bills · Total AI Sovereignty