Kumo, a San Francisco, CA-based new SaaS AI platform for the modern data stack that allows businesses to make faster, simpler, and smarter predictions, announced it has emerged from stealth with $18.5 million in Series A funding.
The round was led by Sequoia Capital, with additional 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).
Kumo will use the new funding to continue its hiring efforts, scale its leading AI technology, and invest in R&D efforts to expand its platform and services.
Company: Kumo.AI Inc.
Raised: $18.5M
Round: Series A
Funding Month: April 2022
Lead Investors: Sequoia Capital
Additional Investors: A Capital, SV Angel, Ron Conway, Igor Perisic, Li Fan, Tristan Hardy, Sridhar Ramaswamy, Greg Greeley, Rob Eldridge, David Chaiken, and Cory Scott
Company Website: https://kumo.ai/
Software Category: Predictive AI
About the Company: Kumo is a venture-backed, innovative SaaS AI platform for the modern data stack that allows businesses to make faster, simpler, and smarter predictions. Founded by several pre-eminent AI executives from companies like Pinterest, Airbnb, and LinkedIn, 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. With Kumo, the platform makes graph learning easy to use – so any business can leverage the power of graph-based AI to better their business.
Source: https://kumo.ai/Kumo_PR_Series_A_Funding.pdf