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Leo AI, Inc.

From EverybodyWiki Bios & Wiki

Leo AI, Inc.
Private
ISIN🆔
IndustrySoftware, Artificial intelligence, CAD
Founded 📆2023; 2 years ago
Founders 👔Dr. Maor Farid (CEO)
Mordechai Moravia (CTO)
Area served 🗺️
Worldwide [cite: 6]
Key people
Fielder Hiss (Advisor)
Saar Yoskovitz (Advisor)
Bertrand Sicot (Advisor)
Products 📟 Leo
Large Mechanical Model (LMM)
ServicesEngineering design automation, PLM integration
Members
Number of employees
🌐 Websitewww.getleo.ai
📇 Address
📞 telephone

Leo AI is an AI-powered engineering design copilot for mechanical engineers. It is trained on engineering standards and data to answer technical questions, solve design problems, find standard components, and generate 3D product concepts and CAD parts.[1][2][3][4]

Software

Leo AI, Inc. is a US-based technology company that develops engineering-grade artificial intelligence software. The company was founded in 2023 in Cambridge, Massachusetts,[5] by mechanical engineers Dr. Maor Farid (CEO) and Mordechai Moravia (CTO).[6]

Leo AI, Inc. created Leo, the first AI system built by and for mechanical engineers. The platform uses a domain-specific foundational model called the Large Mechanical Model (LMM), which can process both text and CAD files. It is designed to integrate with an organization’s workflow, allowing engineers to answer complex technical questions in real-time using natural-language and identify the best-fit parts from internal PLM systems, as well as from over 1 million trusted engineering sources and a library of more than 100 million vendor parts.[7]

Leo AI’s products are distributed through value-added resellers (VARs) across numerous regions, including the United States, United Kingdom, India, Benelux (Belgium, Netherlands, Luxembourg), France, Germany, Poland, and Israel.[8]

The company operates in the software industry, with a focus on analytics and performance software, application integration, engineering software, and multimedia and graphics. Its core technology areas include artificial intelligence and cloud computing.[5]

History

Dr. Maor Farid and Mordechai (Moti) Moravia met when they were 18, during their service in Israel’s Brakim Program, an elite military track that trains top candidates to become research and development engineers for the defense industry.[8] Both completed bachelor’s and master’s degrees in mechanical engineering from the Israel Institute of Technology (Technion) in only four years, including a research thesis.[9]

Both Farid and Moravia excelled in the program and shared a strong passion for innovation and technology. After graduation, they began working as engineers in the Israeli defense industry. Moravia led AI and multidisciplinary engineering development for Israel’s Merkava tank. Farid became an AI researcher in the Israel Defense Forces’ Unit 8200, focusing on target recognition. His work in that field earned national recognition and was later featured in The Washington Post.[9]

Although they were proud to serve their country, both engineers soon became frustrated by the repetitive nature of their daily work. They spent weeks on simple, manual tasks like searching for compatible parts instead of focusing on creative design and innovation. They wondered why mechanical engineering had not yet benefited from the same kind of AI and automation that had transformed other fields like software and electronics.[8][9]

After completing his military service, Farid moved to Boston for a Fulbright postdoctoral fellowship at MIT, where he researched how AI could improve mechanical design. When he returned to Israel to teach at the Technion, he and Moravia decided it was time to turn their idea into reality. Finally, the technology had caught up and they decided to build an AI system that could automate the tedious aspects of mechanical design and allow engineers to focus on creativity and problem-solving.[9]

Before developing any technology, they interviewed more than 900 mechanical engineers, from junior designers to VPs of Research and Development, to identify the most time-consuming parts of their daily work. The insights from those interviews helped them define the foundation for what would become Leo AI. The world’s first AI copilot for mechanical engineering design.[9][10]

They built a proprietary artificial intelligence model called the Large Mechanical Model (LMM). Unlike language models that generate text, the LMM was designed to understand CAD files, technical documents and engineering assemblies. It was trained on over 1 million engineering resources, including sketches, parts catalogs, global standards, and peer-reviewed literature. The training allows Leo to answer mechanical questions with 95% accuracy, compared to GPT’s 46% and to transform a short text prompt or sketch into a detailed CAD model within seconds.[8][11][12][13]

Leo processes data within customers’ existing systems instead of sending it to external servers, helping protect intellectual property and reduce the risk of data exposure that concerns many enterprises using AI tools.[13]

Leo AI officially launched in May 2023,[14] and later that year, in November, the company was incorporated in the state of Delaware, USA.[15] Its mission is to help engineers focus on what they do best, building great products, by automating the routine 80% of their work so they can dedicate more time to the creative 20% that drives innovation.[10][16] A Large Mechanical Model built by mechanical engineers, for mechanical engineers.[9]

In its first months, Leo generated more than $100,000 in revenue and attracted over 200,000 visitors to its platform without any paid marketing.[11][12]

In February 2024, Fielder Hiss, former SolidWorks product leader, joined as an advisor.[17]

In June 2024, Saar Yoskovitz, CEO and Co-Founder of Augury, also joined as an advisor to support Leo AI’s expansion and enterprise growth.[18]

In December 2024, Leo AI partnered with Visiativ, a leading global engineering software reseller, to make AI-powered design tools for engineering teams.[19]

In February 2025, Leo AI released Leo Ideation, an online module designed to test how engineers interact with AI design tools. With Leo Ideation, users can describe a product in plain language, and within five seconds, the system generated photorealistic conceptual images, high-level summaries, and technical documentation. The feature allows engineers to turn ideas into 3D mesh models, visualize concepts, and accelerate early design stages.[20][21]

In April 2025, Bertrand Sicot, Deputy CEO of Visiativ and former CEO of SolidWorks, joined Leo AI’s Board of Advisors.[22] That same month, the company launched Windows directory integrations, allowing engineers to instantly search and use their internal design files and documents through the platform. The update enabled organizations to combine their own knowledge bases with Leo’s AI capabilities, which led to significant adoption and traction.[23]

In June 2025, Dr. Farid presented Leo AI’s vision for AI-driven engineering design at a joint conference with Visiativ Benelux,[24][25] and training sessions were held for Visiativ’s team to introduce the platform across Europe and the USA.[26]

In June 2025, Leo AI partnered with CoreTechnologie. The collaboration integrates CoreTechnologie’s 3D_Kernel_IO SDK into Leo AI, allowing it to read and analyze 3D CAD data from major formats (like NX, Creo, and SOLIDWORKS).[27]

In July 2025, Leo AI formed numerous key partnerships. The company collaborated with BEACON, one of India’s largest engineering software distributors, to introduce AI-powered design tools across the country. The launch events in Bengaluru, Pune, and Mumbai attracted hundreds of industry leaders, engineers, and product developers, marking Leo AI’s official entry into one of the fastest-growing markets for mechanical design.[28][29]

In the same month, Leo AI partnered with OpenBOM to develop the first AI-powered Product Lifecycle Management (PLM) experience[30] and teamed up with Onshape to deliver the world’s first cloud-native, AI-driven design workflow.[31]

Also in July 2025, the company received its first patent, “Computerized System and Method for 3D CAD Design Generation.” This patent allowed Leo to generate functional CAD assemblies directly from design goals, reducing iteration time and expanding design accessibility.[32][33]

In August 2025, a second patent was granted, protecting Leo’s ability to understand

CAD geometry, predict compatible parts, and automatically assemble components within a CAD environment.[32][34]

In August 2025, Leo AI hosted a global webinar titled “How Engineers Save Days with AI: Former SolidWorks CEO & Real Case Study,” featuring John McEleney, co-founder of Onshape and former CEO of SolidWorks, alongside engineer Ashraf Serour, who demonstrated how Leo reduced a week-long design process to just seven hours.[35]

In September 2025, Leo AI raised $9.7 million in an oversubscribed seed round led by Flint Capital, with participation from an a16z scout, TechAviv, Two Lanterns VC, OurCrowd, Mento VC, Bertrand Sicot, and Prof. Yossi Matias, VP at Google. The funding allowed Leo AI to expand its engineering team, scale internationally, and continue improving its Large Mechanical Model for enterprise use.[8][11]

That same month, Leo AI introduced a new AI onboarding assistant for mechanical engineers, helping teams access company knowledge through natural language queries.[36] The company also announced a major partnership with TraceParts, one of the world’s largest CAD-content platforms, integrating access to more than 112 million supplier-certified parts and more than 2,100 supplier catalogs directly into Leo.[37]

In October 2025, Leo AI expanded this collaboration with the launch of Free-Language Part Search, allowing engineers to request parts in everyday language and instantly receive matching 3D previews, supplier data, and CAD downloads. The feature helped reduce design time by up to 1,200 hours per year per engineer, translating into significant cost and productivity.[37]

Services

Leo is a domain-specific artificial intelligence (AI) system created for mechanical and manufacturing engineering. It is powered by a patented Large Mechanical Model (LMMM) that captures an organization’s engineering knowledge from CAD and text data. The model validates this information against more than 1 million trusted engineering sources and more than 100 million vendor parts.[1][7]

The LMM supports numerous main functions focused on technical accuracy, problem-solving, and efficiency in product design and development.[1]

Leo provides verified answers to engineering questions by combining information from internal company data and reliable external sources. Engineers can perform complex calculations and structural analyses without encountering misinformation or broken links. The system adapts its answers to reflect each company’s specific workflows, helping reduce errors, speed up onboarding, and maintain consistency across teams.[1]

The engineering chat allows users to ask questions in natural language about CAD models, workshop setups, or field work. Leo understands the technical context and offers practical, hands-on guidance that fits each situation.[1]

Leo’s code solver performs advanced engineering calculations. It identifies the correct formulas, retrieves accurate data, and completes the necessary computations automatically. Engineers can use it for stress analysis, material selection, or mechanical design. Each solution includes references to trusted engineering sources, eliminating the need for manual verification or spreadsheets.[1]

The code interpreter handles both quick questions and multi-step mechanical problems. Users can ask about materials, coatings, design trade-offs, or mechanical principles and receive context-aware, verifiable answers.[1]

Leo also includes component search and part retrieval. Engineers can look for parts using natural language, images, or specifications. The system searches across global vendor databases, online catalogs, and internal PLM systems to find the best matches. It helps teams find existing designs, approved parts, and previously purchased components, reducing redundancy and preventing duplicate purchases.[1]

Leo’s ideation feature supports brainstorming and visualization of new design ideas. Engineers can describe a product concept and quickly create 3D models, explore design alternatives, and generate documentation. It shortens early design stages that would normally take weeks.[1]

Leo connects with major engineering platforms, including NX, Onshape, SOLIDWORKS, SolidWorks PDM, Teamcenter, and Windchill.[38]

Leo integrates securely into engineering workflows and product lifecycle management (PLM) systems. The AI helps teams reuse proven designs, lower lifecycle costs, and increase profit margins by surfacing valuable legacy knowledge.[1]

All answers are based on verified PLM data and reliable engineering sources. The system helps minimize mistakes, improve design quality, and speed up decision-making. Organizations benefit from fewer design errors, greater part reuse, and significant time savings, often achieving a return on investment within weeks.[1]

Business

Leo AI, Inc. is headquartered in Cambridge, Massachusetts, United States.[15] During its first month of monetization, the platform generated over $100,000 in revenue and attracted 200,000 site visitors without paid marketing.[12]

Since its launch, more than 57,000 engineers worldwide have adopted the platform[10] and created over 475,000 3D concepts across industries like aerospace, medical devices, and transport.[13]

Engineers using Leo AI have reported reducing design mistakes by 34%, increasing part reuse by 32%, and saving an average of 12 hours of work each week.[7]

Leo AI has raised a total of $9.7 million in seed funding from venture capital firms and strategic individual investors. The oversubscribed round was completed on September 2, 2025.[15] It was led by Flint Capital with participation from TechAviv, Two Lanterns Venture Partners, an Andreessen Horowitz Scout, OurCrowd, and Mento VC.[10][11][38]

Notable angel investors include Bertrand Sicot, former CEO of SolidWorks, and Prof. Yossi Matias, Vice President at Google and Head of Google Research.[10][11][15]

The company’s strong investor base and early customer adoption have been cited as signs of rapid growth and market validation. Industry analysts have noted that the company’s progress between its initial funding in late 2023 and its expanded seed round in 2025 demonstrated significant commercial traction.[39] The involvement of industry figures such as Sicot and Matias have been seen as a sign of confidence in the company’s mission to modernize mechanical engineering workflows through AI.[8]

Flint Capital partner Sergey Gribov stated that inefficiencies in mechanical engineering, including poor coordination and information silos, contribute to nearly half of all product delays and can increase manufacturing costs by up to 35%. Leo AI’s platform addresses these challenges by improving collaboration and accelerating design and production processes by up to 70%.[12]

Leadership

Dr. Maor Farid earned his degree from the Technion and completed a postdoctoral fellowship at MIT as a Fulbright fellow in applied mathematics and artificial intelligence. He also took part in an executive program at Harvard University. Before his academic career, he served as an AI researcher and commander in the Israeli Intelligence Corps, including Unit 8200 and Unit 81, and worked as a Mechanical Engineer in the Israeli Prime Minister’s Office.[6] In 2019, he was named to the Forbes 30 Under 30 list. Dr. Farid is also the founder of the award-winning nonprofit organization “Learn to Succeed”.[39]

Mordechai (Moti) Moravia is an AI expert and Mechanical and Systems Engineer. He has led AI and engineering development for the Israeli Ministry of Defense, including projects for the Israeli Main Battle Tank (MBT) and Infantry Fighting Vehicle (IFV). He earned both his M.Sc. and B.Sc. degrees, Summa Cum Laude, from the Technion, where he was part of the elite Unit 81 “Brakim” program.[6]

Clients

Leo AI is used by engineers and organizations worldwide. Companies such as HP, Scania, Siemens, Mobileye, Bosch, Intel, and Toyota have integrated Leo AI into their engineering workflows. It is also used by institutions like the Massachusetts Institute of Technology (MIT) and corporations including Philips, LG, General Electric, and Lockheed Martin. Smaller companies such as Zutacore, Toothsure, Elbit Systems, ERC System, Tenova Advanced Technologies, and SpaceIL use the platform for design and analysis.[1][12][13][40][41][42]

Intellectual Property & Compliance

In July 2025, Leo AI received its first patent, titled “Computerized System and Method for 3D CAD Design Generation” (US Patent No. 18/907,937). This patent covers the company’s method for generating 3D CAD designs using artificial intelligence.[33]

In August 2025, Leo AI was granted a second patent, “Method for Training AI Models to Generate 3D CAD Designs.” This patent protects Leo AI’s method for teaching its models to understand CAD geometry, predict compatible parts, and automatically assemble components within a CAD environment.[32][34]

Leo AI also follows strict compliance standards to ensure data protection and system security. It is SOC 2 Type II Certified, meaning that an independent third-party auditor has confirmed its internal controls meet the required standards for security, availability, and confidentiality. The company also holds ISO certifications. Together, SOC 2 and ISO certifications show that Leo AI meets the highest enterprise-level requirements for protecting information.[38]

Leo AI uses end-to-end encryption to protect sensitive data at every stage of processing. The company also enforces a no data reuse policy, ensuring that proprietary information stays private and fully owned by the user.[38]

Market Position

Leo AI operates in numerous global markets through a network of Value-Added Resellers (VARs). It is distributed in the United States, United Kingdom, India, France, Germany, Poland, the Benelux region, and Israel.[8][39]

The company serves a range of industries, including automotive and transportation, high-tech and consumer electronics, aerospace and defense, industrial manufacturing, and medical devices. Its technology is widely used in robotics, industrial machinery, lightning, and computer-related fields that depend on research and development.[1][13]

The global mechanical engineering services market is expected to exceed 620 billion USD by 2032, and Leo AI is positioned to play a significant role in transforming how physical products are designed and developed.[12][13]

Technology

Leo AI is powered by the Large Mechanical Model (LMM), an artificial intelligence system built specifically for mechanical engineering and product design. It works like a Large Language Model (LLM) but focuses on mechanical data instead of text. While LLMs use words as their basic units, the LMM uses physical parts like bolts, bearings, and gears as its building blocks.[11][12]

The model understands written requirements, sketches, 2D images, and 3D CAD files. It recognizes both the engineer’s goals and the real-world design constraints involved.[1] The LMM fits naturally into existing engineering workflows and CAD systems. It was trained on more than 1 million textbooks, professional articles, and engineering standards.[40]

Leo AI builds mechanical assemblies from parts in the same way a language model forms sentences from words, analyzing geometry, standards, and constraints to instantly generate the correct component and demonstrate a true understanding of mechanical intent.[10]

Leo AI follows Design for Manufacturing and Assembly (DFMA) standards.[1] It ensures that its designs can be produced and assembled in real-world conditions. It automates complex design steps, increases accuracy, and speeds up development. Leo’s technology connects with Product Lifecycle Management (PLM) systems and enterprise workflows while offering strong security to protect intellectual property.[10]

References

  1. ↑ 1.00 1.01 1.02 1.03 1.04 1.05 1.06 1.07 1.08 1.09 1.10 1.11 1.12 1.13 1.14 "Leo AI Website". Leo AI. Retrieved 2025-10-19.
  2. ↑ "Leo AI: Mechanical Design Assistance At Your Fingertips". Visiativ. 2025-09-17. Retrieved 2025-10-19.
  3. ↑ "Leo AI page". LinkedIn. Retrieved 2025-10-19.
  4. ↑ "Leo AI's New Feature: Onboarding Support using Free Language". Leo AI Community Announcements. September 2025. Retrieved 2025-10-20.
  5. ↑ 5.0 5.1 "Leo AI, Inc". Preqin. Retrieved 2025-10-19.
  6. ↑ 6.0 6.1 6.2 "Leo Al About Us page". Leo AI. Retrieved 2025-10-19.
  7. ↑ 7.0 7.1 7.2 "Leo AI profile". G2. Retrieved 2025-10-20.
  8. ↑ 8.0 8.1 8.2 8.3 8.4 8.5 8.6 Farid, Maor. "Leo AI raises $9.7M to build the world's first AI for Mechanical Engineering". Leo AI Blog. Retrieved 2025-10-19.
  9. ↑ 9.0 9.1 9.2 9.3 9.4 9.5 Farid, Maor (2025-05-26). "From Rockets to Robots: Our Journey Building the First AI Copilot for Mechanical Engineers". Forbes Israel. Retrieved 2025-10-20.
  10. ↑ 10.0 10.1 10.2 10.3 10.4 10.5 10.6 Sivaraj, Mukundan (2025-09-22). "Leo AI Built "to Make the Human Engineer a Hero," Says CEO Maor Farid". AIM Media House. Retrieved 2025-10-20.
  11. ↑ 11.0 11.1 11.2 11.3 11.4 11.5 Tardif, Antoine (2025-09-02). "Leo AI Raises $9.7M to Power a New Era of Mechanical Engineering". Unite.AI. Retrieved 2025-10-20.
  12. ↑ 12.0 12.1 12.2 12.3 12.4 12.5 12.6 Singer, Daniel (2025-09-02). "Leo AI Raises $9.7M for Large Mechanical Model". StartupHub AI. Retrieved 2025-10-20.
  13. ↑ 13.0 13.1 13.2 13.3 13.4 13.5 Louise, Nickie (2025-09-02). "Leo AI raises $9.7M backed by Google VP and a16z to transform Mechanical Engineering with world's first large mechanical model". Tech Startups. Retrieved 2025-10-20.
  14. ↑ "Leo Al General Information". PitchBook. Retrieved 2025-10-19.
  15. ↑ 15.0 15.1 15.2 15.3 "Leo AI - Company Profile". Tracxn. 2025-10-02. Retrieved 2025-10-20.
  16. ↑ Tara, Roopinder (2025-08-17). "Is This Face the Future of CAD?". ENGtechnica. Retrieved 2025-10-20.
  17. ↑ Farid, Maor (February 2024). "Fielder Hiss Joins Leo AI as Strategic Advisor". Leo AI Community Announcements. Retrieved 2025-10-20.
  18. ↑ "Saar Yoskovitz Appointed as Leo AI Advisor". Leo AI Community Announcements. June 2024. Retrieved 2025-10-20.
  19. ↑ "Leo AI and Visiativ Launch Global Partnership". Leo AI Community Announcements. December 2024. Retrieved 2025-10-20.
  20. ↑ "Leo AI Ideation". Leo AI. Retrieved 2025-10-20.
  21. ↑ "Designing a 2D Concept". Leo AI Channel. YouTube. February 2025. Retrieved 2025-10-20.
  22. ↑ "Bertrand Sicot Joins Leo AI Board of Advisors". Leo AI Community Announcements. April 2025. Retrieved 2025-10-20.
  23. ↑ "Integration with Local Windows Directories Now Available". Leo AI Community Announcements. April 2025. Retrieved 2025-10-20.
  24. ↑ "Leo AI CEO Presents at Visiativ Benelux Conference". Leo AI Community Announcements. June 2025. Retrieved 2025-10-20.
  25. ↑ Farid, Maor (June 2025). "LinkedIn post". LinkedIn. Retrieved 2025-10-20.
  26. ↑ "Leo AI Trains Visiativ Teams on AI Technology". Leo AI Community Announcements. June 2025. Retrieved 2025-10-20.
  27. ↑ Mitra, Puja (2025-06-10). "Leo AI, CoreTechnologie partner to elevate AI-powered engineering". Engineering.com. Retrieved 2025-10-20.
  28. ↑ "Leo AI Partners with Beacon to Enter Indian Market". Leo AI Community Announcements. July 2025. Retrieved 2025-10-20.
  29. ↑ Nalawade, Sachin R (2025-07-12). "BEACON Partners with Leo AI to Launch Revolutionary Engineering Design Copilot in Bengaluru, Pune and Mumbai". DailyCADCAM. Retrieved 2025-10-20.
  30. ↑ "Leo AI and OpenBOM Partner to Deliver AI-Driven PLM". Leo AI Community Announcements. July 2025. Retrieved 2025-10-20.
  31. ↑ "Leo Al and Onshape Launch Cloud-Native AI Design Collaboration". Leo AI Community Announcements. July 2025. Retrieved 2025-10-20.
  32. ↑ 32.0 32.1 32.2 Farid, Maor. "Leo AI Secures Second Patent for CAD-Aware Assembly Design - Here's What It Means for Engineers". Leo AI Blog. Retrieved 2025-10-20.
  33. ↑ 33.0 33.1 "LinkedIn post: First Patent Announcement". LinkedIn. July 2025. Retrieved 2025-10-20.
  34. ↑ 34.0 34.1 "Leo AI's second patent has been officially granted!". Leo AI Community Announcements. August 2025. Retrieved 2025-10-20.
  35. ↑ "Leo AI Webinar (August) How Engineers Save Days with AI: Former SolidWorks CEO & Real Case Study". Leo AI Community Announcements. August 2025. Retrieved 2025-10-20.
  36. ↑ "Leo AI just announced a partnership with TraceParts". Leo AI Community Announcements. September 2025. Retrieved 2025-10-20.
  37. ↑ 37.0 37.1 "Leo AI's Biggest Update Yet". Leo AI Community Announcements. October 2025. Retrieved 2025-10-20.
  38. ↑ 38.0 38.1 38.2 38.3 Farid, Maor. "What Is the Best Al for Mechanical Engineers?". Leo AI Blog. Retrieved 2025-10-21.
  39. ↑ 39.0 39.1 39.2 "Dr. Maor Farid: Fulbright and ISEF Fellow at MIT Founder and CEO of Learn to Succeed". Massachusetts Institute of Technology. Retrieved 2025-10-21.
  40. ↑ 40.0 40.1 Chowdhry, Amit (2025-09-10). "Leo AI: $9.7 Million Raised For Transforming Mechanical Engineering". Pulse 2.0. Retrieved 2025-10-21.
  41. ↑ "Leo AI Visiativ page". Visiativ. Retrieved 2025-10-22.
  42. ↑ "Leo AI Customers & Industry Leaders". Leo AI Blog. Retrieved 2025-10-22.

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