Agents Should Run Like Any Other Software
Nobody needs a platform team to ship a web service anymore. So why does running a team of AI agents still take one?
We built CanyonOS to make multi-agent applications as ordinary to run as a web service: simple to write, dependable in production, clear about what they cost. The hard part was never the agents. It was the zoo of tools around them, none of which could see the workflow.
We're proud of the platform. We're prouder of the plumbing our users never have to write.
Built by People Who Ran Multi-Agent Applications, and Studied Them
Our team built multi-agent applications for enterprises. Aditya Akella's ML systems research group at UT Austin studies how they run, and CanyonOS comes out of that work.
We're based in Sunnyvale, California, and we build in the open.
Backed By
Canyon Code Team
Saurabh Agarwal
Chief Architect
Niraj Londhe
Senior Director of Engineering
Juan Valencia
Head of Enterprise Software
Felipe Augustos
Engineering
Saaketh Sodanapalli
Engineering
Prasad Nakhate
Engineering
Om Agrawal
Engineering
Jayanth Krishna Chundru
Engineering
Running Multi-Agent Applications in Production?
Tell us what you're building and where it hurts. We'd like to hear from you.
Join Us
We're hiring people who want to make agents ordinary to run.
News and Press
May 2026.
November 2026.Canyon Code emerged from stealth with a $5 million pre-seed led by Cota Capital. Since then we've built one thing: a platform to run multi-agent applications.
CanyonOS 0.1, our first public release.