Modelware · Research

Built on a Decade of Research

OML Code did not start as a product idea. It grew out of over a decade of work at Modelware Labs, our research engine, advancing ontological modeling and rigorous systems engineering with corporate, government, and academic partners. That research foundation is why the platform can make claims most tools cannot.

Our Research Engine

Modelware Labs

Modelware Labs is where our work begins. For over a decade, its researchers have tackled the hardest problems in intelligence-centric engineering: how to capture engineering knowledge as formal, machine-understandable models, how to reason over those models with confidence, and how to put trustworthy AI to work on them.

Working hand in hand with leading corporate, government, and academic partners, the lab explores these open problems and pressure-tests its ideas on real, high-stakes engineering, not toy examples. What proves out in the lab is hardened and shipped inside OML Code.

What the Lab Pursues

Research Focus

Ontological modeling languages and methods
Automated reasoning and analysis at scale
AI agents grounded in formal models
Model DevOps and continuous validation
Interoperability across engineering tools

Open by Design

Foundation & Community

Our research lives in the open anchored by an open-source foundation and the community that has grown around it.

Open Source Foundation

openCAESAR

The open source platform for ontological modeling and analysis, proven on flagship space missions. openCAESAR pioneered the rigorous, model-as-code approach that OML Code builds on and productizes today.

Visit openCAESAR

Community

onto:Nexus

A forum and workshop series where practitioners and researchers of ontological modeling share methods, results, and lessons learned, keeping the community connected and the state of the art moving.

Explore onto:Nexus

Proven in Practice

Trusted by Industry Leaders

We have engaged leading aerospace and defense organizations through the open-source openCAESAR foundation.

BAE Systems Leonardo CAE

Academic Partners

University Researchers We Collaborate With

Modelware Labs partners with leading academics to push intelligence-centric engineering forward.

University of Arizona

Prof. Alejandro Salado

Associate Professor of Systems and Industrial Engineering. Collaborating with Modelware on OML CoPilot research since 2024.

University of Twente

Prof. Giancarlo Guizzardi

Full Professor and Chair of Semantics, Cybersecurity & Services. Collaborating with Modelware on encoding gUFO in OML so domain ontologies inherit formal analytical patterns.

Fayetteville State University

Prof. Sambit Bhattacharya

Professor of Computer Science and Director of the Intelligent Systems Lab. Collaborating with Modelware on MCP-based AI tools for OML Code and converting legacy engineering documents into OML knowledge bases.

From the Lab

Selected Research

A sample of recent projects. Many of their results now ship inside OML Code.

Document Analyzer

DescriptionThis project intends to develop an approach to use an LLM to extract information in a (PDF) document to a ...

OML CoPilot

This project intends to develop an OML(Ontological Modeling Language) CoPilot, which is an AI Assistant that can help...

OML Compare & Merge

DescriptionOML Compare & Merge will be a service that enables precise comparison and merging of ontologies author...

OML Vision

DescriptionThe OML Vision project aims to develop a Visual Studio (VS) Code extension that provides modern user-frien...

ReqGPT

DescriptionOur project aims to develop a sophisticated tool that leverages prompt engineering techniques to effective...

SysML v2 Ontology

SummaryThis project intends to develop an ontological representation of SysML v2 in OML. First, an OML vocabulary equ...

Browse all 23 projects

Research You Can Build On

The results of this research ship today inside OML Code. If you want to co-sponsor a Modelware Labs project, propose a new one, or see how a decade of research becomes your engineering advantage, we should talk.

Talk to Us Explore OML Code