Leo AI Secures Second Patent for CAD-Aware Assembly Design - Here’s What It Means for Engineers
Leo AI Secures Second Patent for CAD-Aware Assembly Design - Here’s What It Means for Engineers
Leo AI Secures Second Patent for CAD-Aware Assembly Design - Here’s What It Means for Engineers
Dr. Maor Farid, Co-Founder & CEO at Leo AI




Leo AI just received its second US patent - and it’s a big one.
After building the world’s first CAD-aware AI assistant for mechanical engineers, Leo has now secured a patent for its proprietary technology that assembles mechanical parts into functioning systems. Think of it as GPT for mechanical assemblies.
This is the foundation of what will soon become a new way to engineer.
What’s Actually in the Patent?
The newly granted patent (official number coming soon) protects our AI model’s ability to:
Understand CAD parts and geometry
Predict which parts work together
Automatically assemble components based on engineering constraints
In simpler terms: you tell Leo what system you want to build - and it builds it.
For example, instead of manually modeling a suspension system for a 500 kg vehicle, you’ll soon be able to say:
"Design a suspension system that fits this chassis and supports a 500 kg load, using our in-house part library."
Leo will run the calculations, choose the parts, and assemble it - all within your CAD environment.
This was after they got granted their first Patent
Earlier this year, Leo AI’s first patent was granted:
“Computerized System and Method for 3D CAD Design Generation” (US Patent No. 18/907,937).
This patent laid the groundwork for Leo’s core technology: generating full CAD assemblies using AI.
That milestone unlocked workflows like:
Converting design goals into functional CAD files
Reducing engineering iteration time
Making mechanical design accessible for non-experts
Together with this second patent, Leo AI is now building the world’s first LMM - Large Mechanical Model - a new kind of AI trained specifically on mechanical data.
Why It Matters
General AI tools like GPT and Claude are great with text. But they were never built to understand CAD or mechanical logic.
Leo is different.
It’s trained on over 1 million engineering sources, customer documentation, and CAD models - achieving 96% accuracy in engineering queries (compared to 46% from GPT).
For engineers, this means:
Fewer hours spent on repetitive modeling
Faster access to relevant components
Assembly suggestions that actually work
What’s Coming Next?
We're not stopping here.
Soon, Leo will also:
Search your internal parts folders and PLM systems
Suggest improvements based on organizational standards
Integrate seamlessly with Onshape and other CAD platforms
Try Leo AI Today
Whether you're designing a robotic arm or a drone chassis, Leo AI helps you move faster - with real engineering logic behind every suggestion.
Start your free trial today
Book a demo for your team
Want to stay ahead of the curve?
Join MI (Mechanical Intelligence) - the first global community for mechanical engineers exploring AI.
Discuss tools, share insights, and connect with others shaping the future of MechE.
Join us on Facebook
Join us on Reddit
Frequently Asked Questions (FAQ)
1. What is Leo AI’s second patent about?
The newly granted patent protects Leo AI’s ability to understand CAD geometry, predict part compatibility, and automatically assemble mechanical components based on engineering constraints.
2. How does this patent change the way engineers design assemblies?
Engineers will soon be able to describe the system they want in plain language—like specifying load, chassis, and part library—and Leo will generate the full assembly directly in their CAD environment.
3. What was Leo AI’s first patent?
Leo AI’s first patent, “Computerized System and Method for 3D CAD Design Generation,” enabled the generation of functional CAD files from design goals, reducing engineering iterations and making design accessible to non-experts.
4. What is the Large Mechanical Model (LMM)?
LMM is Leo AI’s domain-specific AI model trained exclusively on mechanical engineering data, including CAD models and customer documentation. It enables accurate, physics-aware suggestions for real engineering workflows.
5. Why is Leo AI different from general AI tools like GPT?
Unlike GPT or Claude, Leo AI is built to understand mechanical logic and CAD data. It’s trained on over 1 million engineering sources and achieves 96% accuracy in engineering queries—far exceeding general LLMs.
6. What benefits does Leo AI bring to mechanical engineers?
Leo reduces time spent on repetitive modeling, accelerates part selection, and offers practical, CAD-based assembly suggestions that follow engineering constraints.
7. What features are coming soon to Leo AI?
Upcoming features include internal part folder and PLM search, suggestions based on organizational standards, and deeper integration with CAD platforms like Onshape.
Ready to try Leo? Try Leo Today
Enjoyed this article on Leo AI Secures Second Patent for CAD-Aware Assembly Design - Here’s What It Means for Engineers - Leo - Generative AI for Engineering CAD Design? Don’t miss Why Some AI Tools Succeed—and What It Means for Engineers Tired of Legacy Systems - Leo - Generative AI for Engineering CAD Design
Leo AI just received its second US patent - and it’s a big one.
After building the world’s first CAD-aware AI assistant for mechanical engineers, Leo has now secured a patent for its proprietary technology that assembles mechanical parts into functioning systems. Think of it as GPT for mechanical assemblies.
This is the foundation of what will soon become a new way to engineer.
What’s Actually in the Patent?
The newly granted patent (official number coming soon) protects our AI model’s ability to:
Understand CAD parts and geometry
Predict which parts work together
Automatically assemble components based on engineering constraints
In simpler terms: you tell Leo what system you want to build - and it builds it.
For example, instead of manually modeling a suspension system for a 500 kg vehicle, you’ll soon be able to say:
"Design a suspension system that fits this chassis and supports a 500 kg load, using our in-house part library."
Leo will run the calculations, choose the parts, and assemble it - all within your CAD environment.
This was after they got granted their first Patent
Earlier this year, Leo AI’s first patent was granted:
“Computerized System and Method for 3D CAD Design Generation” (US Patent No. 18/907,937).
This patent laid the groundwork for Leo’s core technology: generating full CAD assemblies using AI.
That milestone unlocked workflows like:
Converting design goals into functional CAD files
Reducing engineering iteration time
Making mechanical design accessible for non-experts
Together with this second patent, Leo AI is now building the world’s first LMM - Large Mechanical Model - a new kind of AI trained specifically on mechanical data.
Why It Matters
General AI tools like GPT and Claude are great with text. But they were never built to understand CAD or mechanical logic.
Leo is different.
It’s trained on over 1 million engineering sources, customer documentation, and CAD models - achieving 96% accuracy in engineering queries (compared to 46% from GPT).
For engineers, this means:
Fewer hours spent on repetitive modeling
Faster access to relevant components
Assembly suggestions that actually work
What’s Coming Next?
We're not stopping here.
Soon, Leo will also:
Search your internal parts folders and PLM systems
Suggest improvements based on organizational standards
Integrate seamlessly with Onshape and other CAD platforms
Try Leo AI Today
Whether you're designing a robotic arm or a drone chassis, Leo AI helps you move faster - with real engineering logic behind every suggestion.
Start your free trial today
Book a demo for your team
Want to stay ahead of the curve?
Join MI (Mechanical Intelligence) - the first global community for mechanical engineers exploring AI.
Discuss tools, share insights, and connect with others shaping the future of MechE.
Join us on Facebook
Join us on Reddit
Frequently Asked Questions (FAQ)
1. What is Leo AI’s second patent about?
The newly granted patent protects Leo AI’s ability to understand CAD geometry, predict part compatibility, and automatically assemble mechanical components based on engineering constraints.
2. How does this patent change the way engineers design assemblies?
Engineers will soon be able to describe the system they want in plain language—like specifying load, chassis, and part library—and Leo will generate the full assembly directly in their CAD environment.
3. What was Leo AI’s first patent?
Leo AI’s first patent, “Computerized System and Method for 3D CAD Design Generation,” enabled the generation of functional CAD files from design goals, reducing engineering iterations and making design accessible to non-experts.
4. What is the Large Mechanical Model (LMM)?
LMM is Leo AI’s domain-specific AI model trained exclusively on mechanical engineering data, including CAD models and customer documentation. It enables accurate, physics-aware suggestions for real engineering workflows.
5. Why is Leo AI different from general AI tools like GPT?
Unlike GPT or Claude, Leo AI is built to understand mechanical logic and CAD data. It’s trained on over 1 million engineering sources and achieves 96% accuracy in engineering queries—far exceeding general LLMs.
6. What benefits does Leo AI bring to mechanical engineers?
Leo reduces time spent on repetitive modeling, accelerates part selection, and offers practical, CAD-based assembly suggestions that follow engineering constraints.
7. What features are coming soon to Leo AI?
Upcoming features include internal part folder and PLM search, suggestions based on organizational standards, and deeper integration with CAD platforms like Onshape.
Ready to try Leo? Try Leo Today
Enjoyed this article on Leo AI Secures Second Patent for CAD-Aware Assembly Design - Here’s What It Means for Engineers - Leo - Generative AI for Engineering CAD Design? Don’t miss Why Some AI Tools Succeed—and What It Means for Engineers Tired of Legacy Systems - Leo - Generative AI for Engineering CAD Design