Leo AI is a technology company.
Leo AI is the world's first engineering design co-pilot, empowering engineers to build better products faster by leveraging AI technology tailored for mechanical engineering.
Leo AI has raised $5.0M across 1 funding round.
Leo AI has raised $5.0M in total across 1 funding round.
Leo AI is a generative AI platform that serves as an engineering design co-pilot for mechanical engineers, enabling them to answer technical questions, generate 3D product concepts, find compatible parts, and integrate with CAD tools to accelerate design workflows.[1][2][5] It targets mechanical engineering teams in product design, robotics, and medical devices, solving pain points like tedious manual work, complex calculations, and part sourcing by leveraging a proprietary Large Mechanical Model (LMM) trained on millions of engineering datasets for multi-modal reasoning on geometry, physics, and constraints.[1][2] With features like source-backed references from over 1 million engineering sources, CAD integration, and enterprise-grade privacy, Leo AI reduces design errors by a third, boosts part reuse, and delivers ROI in weeks through tiered pricing from free trials to enterprise plans with PDM integration.[1][3][5]
Leo AI was founded by a team of mechanical engineers from top schools, inspired by their experiences building next-generation robots and life-saving medical devices but frustrated by burnout from endless manual tasks.[2] Named after Leonardo da Vinci as a symbol of engineering intelligence, the company emerged from the founders' realization that AI could transform product design into an AI-centric process, empowering engineers rather than replacing them.[2] Early development focused on creating the world's first Large Mechanical Model (LMM), trained on millions of man-made products using machine parts as tokens (e.g., bolts, bearings) to generate DFMA-compliant designs from text, sketches, or CAD inputs—marking a pivotal shift from general AI to domain-specific engineering tools.[2]
Leo AI rides the wave of domain-specific AI in engineering, capitalizing on generative AI's maturation to address mechanical design bottlenecks amid rising demand for faster time-to-market in robotics, medtech, and hardware.[2][5] Timing is ideal as CAD giants like PTC's Onshape integrate with Leo, signaling ecosystem convergence where AI copilots augment tools like SolidWorks, reducing design cycles and errors in an era of complex supply chains and sustainability pressures.[4][5] By enabling part reuse from BOM histories and validating against physical constraints, Leo influences the ecosystem toward AI-empowered workflows, fostering innovation in hardware startups and enterprises while preserving engineer expertise.[2][4]
Leo AI is poised to expand its LMM with deeper BOM/product memory integrations and partnerships like Onshape, potentially dominating mechanical design AI as multimodal capabilities evolve.[4][5] Trends like agentic AI for full design automation and enterprise data sovereignty will propel growth, evolving Leo from copilot to indispensable platform that redefines engineering productivity. This positions Leo AI to empower the next wave of hardware breakthroughs, turning engineer ideas into market-leading products at unprecedented speed.
Leo AI has raised $5.0M in total across 1 funding round.
Leo AI's investors include Flint Capital, TechAviv Founder Partners, Yossi Matias.
Leo AI has raised $5.0M across 1 funding round. Most recently, it raised $5.0M Seed in September 2025.
| Date | Round | Lead Investors | Other Investors |
|---|---|---|---|
| Sep 1, 2025 | $5.0M Seed | Flint Capital, TechAviv Founder Partners, Yossi Matias |