Published by: Business Wire

Founded by pre-eminent researchers and executives from companies and academic institutions including Airbnb, Pinterest, LinkedIn, Stanford University, and more, the start-up is taking a next-generation approach to predictive AI. Kumo makes graph learning easy to use – so any company can leverage the power of graph-based AI to better their business.

SAN FRANCISCO--(BUSINESS WIRE)--Kumo, a new SaaS AI platform for the modern data stack that allows businesses to make faster, simpler, and smarter predictions, today announced it has emerged from stealth with $18.5 million in Series A funding 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.

Most companies pay hundreds of thousands to millions of dollars every month to store terabytes of data they collect about their products and customers. Yet these businesses are only able to leverage a tiny fraction of this data for predictive tasks. Even companies with the most sophisticated machine learning teams maintain only a handful of AI models because it’s expensive and time-consuming. Kumo’s predictive technology solves for this by bringing powerful graph algorithms into a simple and elegant predictive AI tool for any company to use.

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https://www.businesswire.com/news/home/20220406005017/en/Kumo-Emerges-From-Stealth-to-Launch-Next-Generation-Predictive-AI-for-Businesses-Raises-18.5-Million-in-Series-A-Funding-led-by-Sequoia

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