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Why Technical Manual Translations Keep Failing and How EGI Can Finally Fix It

Today, manufacturing engineers spend most of their time deciphering complex assemblies and figuring out the correct assembly sequences. EGI can help.

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

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.

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.

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.

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.

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.

Foundation EGI CEO Mok Oh writes that the time is now for engineering’s AI revolution, and here’s why.

With backing from visionary VCs and validation from Fortune 500 brands, MIT-born Foundation EGI is on a mission to revolutionize engineering with AI