Kumo, a graph machine learning-centered AI platform that allows anyone in an organization to harness the power of data to make faster, simpler, and smarter predictions, today announced it has raised $18 million in Series B funding led by Sequoia Capital and on October 16, anyone can sign up for Kumo's first release of the product via Kumo's website. This latest round also includes participation and/or advisorship from existing and new investors including A Capital, SV Angel, Ron Conway, Michael Ovitz, Frank Slootman, Kevin Hartz, Clement Delangue, and Michael Stoppelman, among others. Kumo will use the new funding to continue its hiring efforts, bring its leading AI technology to more companies, and invest in R&D efforts to expand its platform and services. On October 16, anyone can sign up for Kumo's first release of the product via Kumo's website.

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. Kumo makes graph learning easy to use - so any business can leverage the power of graph-based AI to better their business.