Most modeling tools capture drawings. OML Code captures meaning. With OML, the Ontological Modeling Language, your concepts, relationships, constraints, and design intent are expressed formally, in a form that machines can understand and reason about.

You model in two clean layers. Vocabularies let you define or integrate the domain-specific languages your organization actually thinks in. Descriptions then use those vocabularies to define your system models. The result is full expressivity for systems engineering without forcing your team into someone else’s notation.

What makes it different

• Model-as-code textual syntax, with a graphical notation that stays in sync with the text
• Compiles to W3C open standards, so your knowledge is never locked into a proprietary format
• Highly componentizable and extensible: build small, reuse everywhere
• Easily federatable and integratable across teams, projects, and repositories

This is the foundation everything else builds on. Once knowledge is formal, it can be verified by reasoners, retrieved by queries, and trusted by AI agents.

Curious what your domain would look like as an OML vocabulary? Bring it to a demo and we will model a slice of it together.