Kumo, a San Francisco, CA-based SaaS AI platform for the modern data stack that allows businesses to make smart predictions, emerged from stealth with $18.5m in Series A funding.
The round was led by Sequoia Capital, with participation from A Capital, SV Angel, Ron Conway, Igor Perisic (Google), Li Fan (CTO, Circle), Tristan Hardy (CEO, dbt Labs), Sridhar Ramaswamy (CEO, Neeva), Greg Greeley (President & COO, Opentrons), Rob Eldridge (Tapas Capital), David Chaiken (Chief Architect, Pinterest), and Cory Scott (CISO, Confluent).
The company intends to use the funds to continue its hiring efforts, scale its AI technology, and invest in R&D efforts to expand its platform and services.
Co-founded by Vanja Josifovski (former Airbnb CTO Homes, Pinterest CTO, Google), Jure Leskovec (Stanford professor, former Pinterest Chief Scientist), and Hema Raghavan, (former executive at LinkedIn, IBM, Yahoo), Kumo provides a SaaS AI platform for the modern data stack that allows businesses to make smart predictions. The core technology that underpins Kumo’s product has been in development for the past five years through Stanford/Dortmund labs and PyG open-source software, the world’s most widely used graph neural network learning platform.