Keebo is a venture-backed startup founded in 2019 that builds a cloud-based Data Learning platform automating optimization for data warehouses like Snowflake and Databricks[1][2][3][5]. It serves data teams at enterprises such as Costco, solving the problem of skyrocketing cloud data costs—rising faster than revenue—by using patented AI to dynamically right-size warehouses, tune queries, route workloads, and deliver average savings of ~27% (up to 70%) while guaranteeing sub-second latencies and SLAs[2][3][5]. With $22.6M raised over two rounds, including a $15M Series A led by True Ventures, Keebo integrates seamlessly into existing infrastructure, freeing teams from manual DataOps to focus on business insights[1][4].
Keebo emerged from over 15 years of AI and database research at the University of Michigan, UCLA, and MIT, addressing the gap between exploding cloud data costs and manual optimization bottlenecks[3][4]. Founded in 2019 in Palo Alto, California (with early ties to Ann Arbor, MI), the company was born from academic breakthroughs in "Data Learning"—a continuous loop of observing usage patterns, learning, and automating infrastructure tweaks[1][2][3]. Early traction came from its patented technology proving 50-70% Snowflake savings for customers like Costco, fueling a fast-growing B2B startup now with 11-50 employees and top-tier investors including Neotribe, Pear, 406 Ventures, and Uncorrelated Ventures[1][3][4].
Keebo stands out in data optimization through these key strengths:
Keebo rides the explosive growth of the $51B data warehousing market (10%+ CAGR by 2028), fueled by AI-driven analytics demands on cloud platforms like Snowflake and Databricks amid rising compute costs[3]. Its timing is ideal as enterprises grapple with DataOps overload—manual tuning can't keep pace with dynamic workloads—positioning Keebo as essential infrastructure for cost-efficient AI data clouds[2][5]. By partnering with Snowflake and enabling joint customers to redirect savings to innovation, Keebo influences the ecosystem, reducing barriers for data-heavy sectors like retail, finance, and manufacturing while pioneering "Data Learning" as a new automation standard[2][3].
Keebo is primed to dominate automated data optimization as AI workloads explode, expanding beyond Snowflake/Databricks to more warehouses and deepening governance features for enterprise compliance[3][5]. Trends like generative AI and FinOps will amplify demand for its hands-free, guaranteed savings, potentially scaling to multi-billion optimization volumes. Its academic roots and proven ROI position it to evolve from optimizer to full data autonomy platform—influencing how data teams operate much like cloud autoscaling transformed compute. As cloud costs threaten innovation, Keebo restores hope (*kibō*), empowering growth without compromise[3].
Keebo has raised $7.0M in total across 1 funding round.
Keebo's investors include 1776, Breega, Connect Ventures, GIT1K, Seedcamp, David Mytton, Jeremy Yap.
Keebo has raised $7.0M across 1 funding round. Most recently, it raised $7.0M Seed in August 2021.
| Date | Round | Lead Investors | Other Investors |
|---|---|---|---|
| Aug 1, 2021 | $7.0M Seed | 1776, Breega, Connect Ventures, GIT1K, Seedcamp, David Mytton, Jeremy Yap |
