We’re building the future of analytics, helping data-driven companies operationalize their data and find answers, faster.
Why we’re here
How it started
How it’s going
Why we’re here
How it started
How it’s going
Why we’re here
How it started
How it’s going
Democratizing ML and AI
Sisu started at Stanford, in the DAWN lab. A five-year research investment led by Peter Bailis, the team at DAWN set out to democratize AI and ML. DAWN has since fostered projects like Snorkel, Weld, and Macrobase - the original prototype for Sisu.
From early successes deploying prototypes at Facebook, Microsoft, Tesla, and Google, we realized the critical need for better tools to diagnose changing metrics in complex data.
The problem we're tackling
"I kept seeing use cases where people knew the metrics they wanted to optimize but didn't have the time or energy to dig into their data to understand what was impacting them and what was actionable. I realized we could alleviate the bottleneck and help users get a handle on their growing data."