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.
AI connects your engineering knowledge, suggests missing links and flags inconsistencies, helping your team spend less time maintaining data and more time engineering.
Work together in documents and views tailored to your role. Everyone works on the same engineering model, with shared context and changes visible across the team.
Connect CAD and manufacturing data with your wider engineering knowledge. Understand dependencies, run domain analyses and reuse what your team already knows.
From product planning to integration and testing: every discipline works on the same connected model. Pick a tile to see how EngOS supports it.
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
Engineering looks different in every industry. The operating system stays the same.
The big engineering suites are built and priced for corporations, while your machines are too individual for commodity tools. EngOS is the all-in-one workspace sized for the Mittelstand: one system instead of a dozen licenses.
Every order is a variant, every plant a one-off. EngOS keeps requirements, mechanics, electrics and software in one model, so reuse actually reaches the next project.
Engineering at maximum density, yet established tool vendors are slow to ship real AI. EngOS sits on top of your existing tool landscape as the AI layer, without replacing it.
Certification, long programs and end-to-end traceability demand evidence for every decision. EngOS automates the paperwork and keeps every derivation traceable down to the artifact.
Founded by engineers, for engineers. EngOS is our answer to fragmented tool landscapes: one operating system instead of yet another tool.
Try it in the browser. Run it wherever you want.
Try EngOS instantly without installing anything and get a feel for the product.
Try EngOSWe run EngOS for your team on Microsoft Azure, managed by the team that builds it.
Discuss Azure hostingEngOS runs on your servers. Your data stays fully with you.
Discuss on-premiseThe 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.
→Source: #produktSpecialized AI agents work on your data like colleagues: they structure specifications, translate standards, find reusable components, assess changes, align interfaces and derive tests.
→Source: #usecasesYes. 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.
→Source: #produktThe entire V-model: from product planning through requirements and architecture to implementation, integration and testing. Every discipline works on the same connected model.
→Source: #vmodelOn-premise or in your own cloud, with full sovereignty over data and models.
→Source: #startTogether 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.
→Source: #kontakt