World-Class Foundation Secures $23 Million Investment for Creation of the First-Ever Engineering General Intelligence System
In a significant leap for the manufacturing industry, Foundation EGI has secured $23 million in Series A funding, led by Translink Capital, to develop its groundbreaking AI-native platform, Engineering General Intelligence (EGI). This innovative technology is set to transform the way industrial engineers design, manufacture, and document physical products.
At the heart of EGI's capabilities lies its ability to encode the rules of physics, spatial relationships, and mechanical systems directly into its AI core. This allows the system to understand and reason about engineering problems at a deep, scientific level. By combining purpose-built large language models with physics-based context and engineering best practices, EGI is well-equipped to tackle the complex nature of engineering from concept to manufacturing and documentation.
One of the key advantages of EGI is its ability to transform disorganized specifications, siloed tribal knowledge, and outdated instructions into structured, succinct, auditable workflows. This not only automates routine tasks but also empowers engineers to challenge assumptions, break traditional rules, and make innovative engineering leaps rather than mere optimisations.
The ultimate goal of EGI is to help industrial engineers design faster, solve harder problems, and rethink what's possible. By leveraging AI tools that speak their technical language and co-design alongside human creativity, EGI aims to serve as an intelligent partner for engineers, enabling them to focus on creative decisions, innovation, and first-principles thinking, while EGI handles the grunt work, compliance layers, and system-wide optimisation.
Dr. Mok Oh, CEO of Foundation EGI, envisions a future where EGI helps engineers imagine what traditional tools told them wasn't possible. The technology has the potential to lower the barrier to entry for new product developers, compress hardware development cycles, and enable companies to test 100x more ideas before committing to a single prototype.
Foundation EGI's technology is not intended to replace engineers but to amplify their capabilities. The company's founding team includes Dr. Mok Oh, Prof. Wojciech Matusik (Chief Scientist), and Mike Foshey (Head of Research), who have all contributed to the groundbreaking research at MIT's Computer Science and Artificial Intelligence Laboratory (CSAIL) that led to the creation of EGI.
With the additional funding, the company's total funding now exceeds $30 million. RRE Ventures, McRock Capital, Escape Investment Management, Fifth Growth Fund, and returning investors including E14 Fund, UNION, GRIDS Capital, and Henry Ford III also participated in the round.
In this future, industrial engineers will focus on creative decisions, innovation, and first-principles thinking, while EGI handles the grunt work, compliance layers, and system-wide optimisation. EGI's purpose is to redefine the foundational software infrastructure for physical product development, and it is pioneering a new category of industrial AI known as Engineering General Intelligence (EGI).
Moreover, EGI introduces a purpose-built intelligence layer that understands geometry, material behaviour, mechanical constraints, and manufacturing logic. This could reshape how entire industries operate by enabling real-time iteration on full product concepts with AI. As we move towards a future where hardware engineering benefits from versioned, verifiable, and intelligent co-design, Foundation EGI's AI-native platform is poised to play a pivotal role.
Financing the development of Engineering General Intelligence (EGI) will allow this technology to revolutionize the investing scene in the business sector, particularly in the manufacturing industry, as it leverages artificial intelligence to automate routine tasks and enable engineers to focus on creative decisions, innovation, and first-principles thinking. In the long run, EGI's purpose-built intelligence layer could potentially lead to technological advancements in various industries by enabling real-time iteration on product concepts with AI.
By transforming disorganized specifications and outdated instructions into structured, succinct auditable workflows, EGI aims to reduce hardware development cycles, lower the barrier to entry for new product developers, and enable companies to test and implement a larger number of ideas, thereby revolutionizing the entire process of physical product development through the use of artificial intelligence.
