EngOS is the operating system for your engineering knowledge. Specialized AI agents understand requirements, tests and standards in context, automate repetitive work and make every decision traceable.
From product planning to integration and testing: every discipline works on the same connected model. Pick a tile to see how EngOS supports it.
Six agents, made by the best engineers, in one operating system.
A 200-page customer spec arrives on Friday evening. EngOS structures it, extracts requirements and flags open points before the team starts reading.
−70%reading and assessment effort
A new regulation takes effect. EngOS shows which requirements and tests are affected and proposes the first draft.
100%traceable derivation
Most things have been built before. EngOS finds proven components from past projects, including cost impact.
4xmore reuse
The new spec is 90 percent identical to the last project. EngOS detects the delta and estimates the extra effort.
−80%calculation time
Mechanics and software develop against different assumptions. EngOS collects interface knowledge and flags contradictions early.
−60%integration defects
Requirements are mapped to test cases by hand and gaps surface late. EngOS generates tests and checks coverage.
−65%traceability effort
We accompany you from use case selection to operations in your environment, with the team that builds EngOS.
Prioritize the most valuable use cases and take them to production fast.
Curate, structure and prepare engineering data for AI.
Tailor agents and models to your domain, your standards and your processes.
On-premise or your own cloud, with full sovereignty over data and models.
Ongoing operations, SLAs and rollouts that bring the organization along.
Five reasons to build with Engineering Rockstars.
The whole site in six answers.
The operating system for your engineering knowledge: requirements, architecture, tests and standards live as one connected graph. What belongs together is linked, not copied.
Specialized AI agents work on your data like colleagues: they structure specifications, translate standards, find reusable components, assess changes, align interfaces and derive tests.
Yes. Every proposal shows its sources and stays traceable down to the artifact. Reviews and decisions stay with people, the groundwork is done by the system.
The entire V-model: from product planning through requirements and architecture to implementation, integration and testing. Every discipline works on the same connected model.
On-premise or in your own cloud, with full sovereignty over data and models.
Together with the team that builds EngOS: prioritize use cases, prepare your data for AI, tailor agents to your domain, through to operations and support. The first step is a demo.
EngOS bundles modeling tools for every engineering phase and specialized AI agents in one platform. Requirements, architecture, tests and standards live in one connected graph, and every step stays traceable down to the artifact.
All artifacts live in one connected model. What belongs together is linked, not copied.
Specialized agents read, link and propose. They work on your data, not on guesses.
Every proposal shows its sources. Reviews stay with people, the groundwork is done by the system.