Last month, our team had the opportunity to present Foundation EGI's platform at the MIT Industrial Liaison Program (ILP) conferences in Japan and Korea.
Why Technical Manual Translations Keep Failing and How EGI Can Finally Fix It
Spare parts catalogs are essential to any Aftermarket or Service team. With Engineering General Intelligence, we’re redefining how these catalogs are built and generated at scale.
Today, manufacturing engineers spend most of their time deciphering complex assemblies and figuring out the correct assembly sequences. EGI can help.
AI is moving rapidly into professional domains once thought immune to automation, but current models still fall short of what's required to be truly useful.
Every engineer creates technical drawings. Every engineer hates them. With EGI, we have an automated approach to producing them.
TEDx MIT presentation by co-founder Wojciech Matusik
An estimated 20% of every dollar spent on manufacturing is wasted, totaling up to $8 trillion a year, more than the entire annual budget for the U.S. federal government.
With AI purpose-built for engineering, Foundation EGI is empowering teams to design faster, solve harder problems, and rethink what’s possible.
In today’s manufacturing landscape, engineering processes remain largely manual and disorganized, resulting in an estimated $8T in economic waste.
Domain-specific Languages (DSLs) are the key to translating engineering logic into structured code and unlocking AI’s true potential in design and manufacturing.
Foundation EGI CEO Mok Oh writes that the time is now for engineering’s AI revolution, and here’s why.
Every engineering challenge is, at its core, a logic problem. And every logic problem can be expressed, shared, and improved if we treat it like code.
With backing from visionary VCs and validation from Fortune 500 brands, MIT-born Foundation EGI is on a mission to revolutionize engineering with AI
The progress in generative AI, particularly large language models (LLMs), opens new prospects in design and manufacturing. Our research explores the use of these tools throughout the entire design and manufacturing workflow.