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CAPABILITIES
Deliver predictions into productions in days not months
to wherever you store your data
Snowflake AWS S3 Databricks AWS Redshift Google Cloud BigQuery Google Cloud Storage
just define your Kumo Graph, which tells us how your raw source tables link to each other
In just a single sitting, on the same Kumo Graph, query your future along every angle using our SQL-like language
down to the finest grain in your data
Easily deploy your model by REST API so you can continuously update your predictions over time, track model quality, data drift, etc.
Deep learning led to AI breakthroughs in image and language processing -- but, to date, deep learning methods have been largely limited in applicability to images (matrices) and text (sequences).
GNNs generalize deep learning to graph data. GNNs are the only deep learning architecture that is not fixed but adapts to the shape and structure of the underlying data.
Your enterprise data naturally forms a graph, representing a rich, interconnected web of business relationships, interactions, customers, transactions, and more.
Kumo brings GNNs to enterprise data in a way that is both scalable and easy to use. We represent it automatically and optimally in graph form, leveraging its inherent connectedness to deliver better accuracy even with less training data.
Unleash the predictive power of your enterprise data