A framework for rigorous, scalable, and AI-enabled ontological modeling and analysis using Ontological Modeling Language
Rich OML authoring with language intelligence, validation, semantic services, and visual model exploration.
Production CLI for lint, compile/reason, markdown render, and validation in CI/CD pipelines.
Rich editor workflows with validation, guidance, and acceleration for high-velocity ontology engineering.
Map OML to OWL/RDF and keep models interoperable across engineering tools and enterprise ecosystems.
Continuously verify consistency and constraints with integrated reasoning and SHACL validation.
Use query workflows to surface actionable insights and support evidence-based engineering decisions.
Deliver methodology steps as connected, runnable notebooks for guided execution and analysis.
Operationalize lint, compile, reason, validate, and publish workflows through repeatable automation pipelines.
Support asynchronous Git collaboration and synchronous Live Share sessions for mentoring and rapid troubleshooting.
Select, compose, and evolve methodologies using reusable assets, examples, and organizational patterns.
Enable secure browser-based modeling for remote work, onboarding, tutorials, and zero-footprint demos.
Use natural-language assistance to accelerate authoring, querying, and model exploration tasks.
Round-trip modeling views through CSV, JSON, and SVG for integration with external analysis tools.
Generate AI-assisted change summaries to streamline pull-request reviews and team decision-making.
OML Code unifies language tooling, semantic analytics, and delivery automation so teams can engineer with clarity at enterprise scale.
Whether you are defining frameworks, validating model integrity, or publishing model-backed documentation, OML Code provides one coherent environment.
OML Code is available through enterprise subscription plans. To discuss subscription options, licensing, and onboarding, contact us.
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