Kumo aims to bring predictive AI to the enterprise with $18M in fresh capital

Published by: TechCrunch

Kumo, a startup offering an AI-powered platform to tackle predictive problems in business, today announced that it raised $18 million in a Series B round led by Sequoia, with participation from A Capital, SV Angel and several angel investors. Co-founder and CEO Vanja Josifovski says the new funding will be put toward Kumo’s hiring efforts and R&D across the startup’s platform and services, which include data prep, data analytics and model management.

Kumo’s platform works specifically with graph neural networks, a class of AI system for processing data that can be represented as a series of graphs. Graphs in this context refer to mathematical constructs made up of vertices (also called nodes) that are connected by edges (or lines). Graphs can be used to model relations and processes in social, IT and even biological systems. For example, the link structure of a website can be represented by a graph where the vertices stand in for webpages and the edges represent links from one page to another.

Graph neural networks have powerful predictive capabilities. At Pinterest and LinkedIn, they’re used to recommend posts, people and more to hundreds of millions of active users. But as Josifovski notes, they’re computationally expensive to run — making them cost-prohibitive for most companies…

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https://techcrunch.com/2022/09/27/kumo-aims-to-bring-predictive-ai-to-the-enterprise-with-18m-in-fresh-capital/