The Foundations

One Platform. Three Foundations.

Logic, AI, and DevOps, fused into one intelligence-centric platform.

Logic

Engineering knowledge captured as formal, machine-understandable models, then made actionable through automated inference, classification, consistency checking, and validation.

AI

AI generates, explains, queries, and navigates engineering models while staying grounded in formal semantics, so answers stay trustworthy.

DevOps

Engineering knowledge becomes a first-class artifact: version controlled, automatically validated, peer reviewed, and continuously delivered.

The Road Ahead

From Documents to Engineering Intelligence

The future of MBSE is not just creating models. It is enabling knowledge to ground engineering intelligence.

Era 1

Document-Centric

Specs, reports, PDFs. Information locked in text.

Era 2

Model-Centric

SysML, UML, visual models. Structure and behavior captured.

Most organizations are here
Era 3

Knowledge-Centric

Semantic models. Formal reasoning and querying.

Era 4

Intelligence-Centric

AI grounded in the model. Active, generative, autonomous.

OML Code takes you here

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Innovation & Thought Leadership

Latest insights from the world of MBSE.

From Hand-Crafted Timelines to Provable Goals: Verifying ConOps with Knowledge Graphs and Formal Methods
Jun 17, 2026
From Hand-Crafted Timelines to Provable Goals: Verifying ConOps with Knowledge Graphs and Formal Methods

In the earliest phase of a space mission, the concept of operations (ConOps) is where...

Read More
Upper Ontologies: Inherit or Instantiate?
Jun 16, 2026
Upper Ontologies: Inherit or Instantiate?

Every serious modeling effort eventually adopts an upper ontology: a small, foundational vocabulary of top-level...

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From Weeks to Hours: Automating Power Balance Analysis in Early Mission Design
Jun 16, 2026
From Weeks to Hours: Automating Power Balance Analysis in Early Mission Design

Early space mission design is a race against the clock. A mission study brings multidisciplinary...

Read More

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