An intelligence-centric engineering platform
Engineering models you can reason on and compute over: knowledge captured formally, verified logically, exploited by AI, and operationalized with DevOps.
Rich OML authoring with language intelligence, synchronized diagrams, guided viewpoints, and an AI copilot.
A production command line that lints, validates, reasons, queries, and renders. The engine of automated model pipelines.
Exposes modeling, reasoning, and querying as tools any MCP-capable AI assistant or agent can call.
Everything systems engineers need to create, trust, exploit, and operationalize engineering knowledge.
Open any capability to see it in action, live product demos included.
Express knowledge formally in OML: machine-understandable models that compile to open standards.
Capture via text editor, forms, file import, or AI prompt. Every path lands in one formal model.
Infer what your model implies and pinpoint contradictions, with explanations of the cause.
Ask real engineering questions with SPARQL, answered over asserted and inferred knowledge.
Encode your SE method as a model that actively guides engineers and keeps modeling consistent.
An AI agent grounded in your model and methodology, so its answers stay trustworthy.
Generate always-current documents, code, and reports from the model with declarative generators.
Collaborate versioned or live, and review with model-aware diffs that show engineering meaning.
Git-native baselines, CI that reasons on every commit, and CD that publishes gate products.
Complexity has outgrown documents: engineering artifacts disagree, the impact of change is invisible, knowledge is trapped in individuals, and rework is the norm. Interface errors caught late cost 10–100× more to fix.
OML Code closes the gap. AI needs structured, queryable knowledge to be trustworthy, and a formal model is exactly what it requires. Build your intelligence-centric SE methodology on top of OML Code.
OML Code is delivered as an enterprise solution, with the support and partnership an engineering organization expects.
Subscriptions sized to your teams, programs, and goals, with terms that fit the way your organization works.
Desktop, browser, or cloud, aligned with your security and IT requirements. Your models stay under your control.
Onboarding, training, and methodology development with our team and certified partners, so adoption succeeds, not just installation.
Every engineering organization is different in size, security posture, and methodology. Tell us about yours and we will walk you through the platform and shape an arrangement that fits.
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