Building AI’s unified compute layer.



🚀 Mission
AI is powerful - but expensive, fragmented, and locked into a few hardware ecosystems. We believe everyone should have the freedom to build and run AI anywhere, without limits. Our mission: make AI’s compute layer unified, efficient, and accessible to all.
🤔 Problem
After decades working at the world’s largest tech companies, we saw the same barriers everywhere—high costs, complex tools, and closed platforms. These limit AI’s reach to a privileged few, stifling innovation and slowing real-world impact. Now, with offices in San Francisco, Los Altos, Boston, and Edinburgh, we're bringing powerful inference to everyone.
💡 What we’re doing about it
We’re building modular and composable infrastructure that simplifies AI development and deployment, and we're open sourcing the language and engine that makes it all possible. The Modular Platform unifies AI under a single framework, offering text, audio, and image inference - all with the state-of-the-art performance that you can deploy with shared endpoints, dedicated endpoints, in your cloud or ours, and with custom models. Modular's simple-to-use infrastructure and inference is designed to solve the problems that we knew developers were facing in the explosion of the AI industry.
💥 How it started
Chris Lattner & Tim Davis met at Google. Frustrated by AI’s fragmented infrastructure and determined to accelerate AI’s global impact, they founded Modular, headquartered in Silicon Valley. We're now a large team of the top AI infrastructure leaders reinventing accelerated compute so anyone, anywhere can build production-grade AI software.
🧠 Leadership team

Chris Lattner
Co-Founder & CEO

Tim Davis
Co-Founder & President

Mostafa Hagog
VP, Engineering

Kalor Lewis
VP, Finance

Eric Johnson
Product Lead

Mike Edwards
Head of Special Projects
🤝 Backed by the best investors in AI







Our goal is as enormous as it is profound. We’re building a different kind of company to achieve this.
We have assembled the best AI software and hardware leaders, and are systematically rebuilding the AI software stack from the ground up.

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