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Predictive AI platform
Open for applications
Predictive AI platform
21-100 employees
Open for applications
+ Stock
More information about location
21-100 employees
To unleash the full potential of enterprise data by bringing the most powerful graph learning approaches, proven in the research world, to all enterprise data.
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To unleash the full potential of enterprise data by bringing the most powerful graph learning approaches, proven in the research world, to all enterprise data.
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back within 2 weeks
31% employee growth in 12 months
California-based Kumo offers an AI-powered platform to help businesses tackle predictive problems, with a specific focus on graph neural networks. Founded by several AI executives from companies including Pinterest, Airbnb and LinkedIn, the company certainly has strong foundations to build on.
Kumo can be used for lots of different use cases, including new customer acquisition, customer retention, personalization, abuse detection and financial crime detection. The company has attracted considerable interest from enterprises, largely because these companies spend millions of dollars storing data, and yet are unable to effectively leverage most of it due to the time, effort, and skill required.
Having brought in series B funding in 2022, the company is moving to bring its AI technology to more companies, whilst investing in R&D efforts to expand its platform and services. Lately, developments have included the announcement that Kumo can now run deep learning directly in the Data Cloud with Snowpark Container Services (eliminating data exfiltration and security concerns), as well as the ability to deploy Kumo on Databricks' new Lakehouse Apps without ever leaving the ecosystem.
Steph
Company Specialist at Welcome to the Jungle
Sep 2022
$18m
SERIES B
Apr 2022
$18.5m
SERIES A
This company has top investors
Vanja Josifovski
(CEO)Previously served as CTO for Airbnb and Pinterest. Experience as Technical Lead for Google.
Hema Raghavan
(Head of Engineering)Previously served as Senior Director of Engineering for LinkedIn and as a Scientist for Yahoo!
Software Engineering