Kumo, New AI Startup, Raises $18.5 Million To Revolutionize AI-Driven Prediction
Thanks to the funding of big-name organizations and the leadership of industry names, new AI startup Kumo plans on making leaps in the AI-driven user prediction landscape.
Created on April 7|Last edited on April 8
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A new AI startup named Kumo has raised $18.5 million to fund their goal of revolutionizing the way AI can work with massive data nets to predict future user action. Their plan is to provide a service for user-prediction that is flexible and adaptive to your needs, capable of making accurate predictions based on your collection of user data, faster and more accurately that any platform before. Most interestingly? Their approach is anchored in Graph Neural Networks (GNNs).
Right now, their services are not publicly available, but they are taking requests to join early access. See their website here for more information:
Who are the people behind Kumo?
Kumo's founders of Kumo include 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's software is rooted in PyG, a tool for creating GNNs, so naturally they brought on a whole cast of people from the PyG team onto their own. A few notables: Matthias Fey (Creator), Jan Eric Lenssen (Co-Creator), and Jiaxuan You (Core Lead). The team is 14 people strong and still growing.
Who's funding Kumo and how will the money be used?
Kumo's $18.5 million has been funded through a Series A funding project lead by Sequoia Capital, along with numerous other funding agencies and big name people joining in on the effort. Kumo plans on using this new capital to expand their team through continuing hiring efforts, and to invest in ongoing research and development to improve their platform and services.
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