Leo AI

Leo AI is an AI-powered engineering copilot built specifically for mechanical engineers and product-design teams. Unlike general-purpose AI assistants, Leo is designed to understand mechanical engineering, CAD geometry, assemblies, engineering standards, calculations, and product data. Its goal is to help engineers reduce time spent searching for parts, researching technical information, performing repetitive calculations, and creating mechanical designs.

Leo is built around what the company calls a Large Mechanical Model (LMM), trained on engineering information and product data. The system can work with multiple forms of engineering input, including text descriptions, sketches, 2D images, and 3D CAD files, allowing engineers to interact with their designs using natural language.

One of Leo’s major capabilities is AI-powered CAD design and assembly generation. Engineers can describe a desired product or mechanical assembly, and Leo can research relevant formulas and standards, perform calculations, identify appropriate components, and generate an editable CAD assembly. The resulting models are designed to maintain engineering information such as part trees and feature trees, rather than simply producing visual 3D meshes.

Leo can also search and reuse existing engineering knowledge and components. It connects with organizational PDM and PLM systems so engineers can search existing parts using natural language, geometry, or functionality instead of manually browsing large component libraries. Supported engineering environments include systems such as Windchill, Teamcenter, Onshape, and SolidWorks PDM.

The platform is designed to help organizations preserve and reuse institutional engineering knowledge. Leo can answer technical questions using verified engineering sources, perform step-by-step calculations, locate components, and provide reasoning behind its recommendations. The company says its system has been trained on more than one million pages of engineering standards and technical sources.

Leo also supports engineering analysis beyond basic design generation, including design review, part selection, cost estimation, manufacturability considerations, and value engineering. Its newer capabilities include reading native CAD geometry and providing should-cost estimates based on design features, helping engineers consider cost earlier in the product-development process.

Leo AI is particularly suited to mechanical engineering organizations working on complex physical products, including automotive, manufacturing, robotics, industrial equipment, aerospace, and other engineering-intensive industries. The company identifies organizations such as Scania, HP, MIT, Philips, Toyota, Elbit Systems, and Bosch among organizations associated with its platform.