About Keebo

Born from 15 years of AI & database research at the University of Michigan, UCLA, and MIT, Keebo solves a critical dilemma: cloud data costs are rising faster than revenue. Our patented Data Learning™ algorithms now optimize customer workloads on Snowflake and Databricks while guaranteeing SLAs.

The name Keebo comes from the Japanese word kibō (希望) — “hope.” We give data teams hope that cost will never cap innovation.

Our Mission

Empower data teams to take control and drive growth through automation.

The data warehousing market will grow to $51B annually by 2028. Keebo’s patented algorithms will be essential to optimizing it all.

What is Data Learning?

Cloud data costs rise faster than revenue when engineers must manually tune the stack. Data Learning changes that.

Data Learning is a concept pioneered by Keebo: it continuously learns from how users and applications interact with their data in the cloud, and uses that learning to improve and automate the tedious aspects of users’ interaction with their data, allowing teams to focus on extracting insight instead of babysitting their data infrastructure.

It improves itself 24 × 7 through a simple loop: Observe usage → Learn patterns → Optimize infrastructure automatically. The outcome is faster insight-to-impact and dramatically lower costs—no manual effort required.