Logic, AI, and DevOps, fused into one intelligence-centric platform.
Engineering knowledge captured as formal, machine-understandable models, then made actionable through automated inference, classification, consistency checking, and validation.
AI generates, explains, queries, and navigates engineering models while staying grounded in formal semantics, so answers stay trustworthy.
Engineering knowledge becomes a first-class artifact: version controlled, automatically validated, peer reviewed, and continuously delivered.
The future of MBSE is not just creating models. It is enabling knowledge to ground engineering intelligence.
Specs, reports, PDFs. Information locked in text.
SysML, UML, visual models. Structure and behavior captured.
Most organizations are hereSemantic models. Formal reasoning and querying.
AI grounded in the model. Active, generative, autonomous.
OML Code takes you hereOur worldwide network of Modelware Centers of Excellence (CoE) brings local expertise, training, and implementation support to ensure your success.
Latest insights from the world of MBSE.
It helps to separate two concerns that often get conflated: semantic interoperability and ontological modeling....
Read MoreEngineering has moved through distinct eras, and each one changed what a “model” is and...
Read MorePartner with us to build your intelligence-centric systems engineering methodology on top of OML Code.
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