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Kumo.ai
Build AI models for relational data — without feature engineering.
TL;DR
What they do: Relational foundation model (KumoRFM) that predicts directly on raw relational databases using graph neural networks and a Predictive Query Language
Integrations: Native support for Snowflake, Databricks, Google BigQuery and AWS Athena
Founding team: Co-founded by Jure Leskovec and Matthias Fey; leadership includes Vanja Josifovski and Hema Raghavan
Funding: Raised a reported $18M Series B (announced Sep 27, 2022); total funding reported $36.5M
Headcount: Approximately 125 employees
Company Overview
Problem Domain
Predictive modeling on relational databases and enterprise data warehouses.
Industry
Artificial intelligence / Enterprise software
Tech Stack
Funding Track Record
$18,000,000
Announcement included participation from A.Capital, SV Angel and multiple angel investors
Investor Signal
“Raised Series B led by Sequoia Capital with participation from well-known angels and firms (A.Capital, SV Angel, Ron Conway, Michael Ovitz, Frank Slootman, Kevin Hartz, Clément Delangue, Michael Stoppelman)”
Founders
What we do
Join the Team
Startup jobs. A lot of them.
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