What is Kumo.ai?
Kumo.ai revolutionizes predictive analytics by allowing users to predict outcomes directly from relational databases, graphs, and knowledge bases. Traditional machine learning often requires flattening relational data, losing valuable connections and context. Kumo's graph-native approach preserves these relationships, enabling more accurate predictions. With an intuitive interface and no-code prediction workflows, data scientists and business analysts can build, evaluate, and deploy models in minutes rather than weeks. The platform automatically engineers features from your data, handles temporal dynamics, and provides interpretable results. Whether you're predicting customer lifetime value, supply chain disruptions, or network anomalies, Kumo.ai scales from small datasets to enterprise-grade applications. Its integration capabilities allow seamless connection to existing data sources like Snowflake, BigQuery, and Postgres. Kumo.ai is designed for teams that want to harness the predictive power of AI without the heavy lifting of traditional ML pipelines.
Use Cases
Key Features
Graph neural network-based predictions No-code model building and deployment Automatic feature engineering from relational data Real-time prediction and temporal modeling Seamless integration with major data warehousesWho is it for?
Data scientists, machine learning engineers, business analysts, and product managers who work with relational data and need fast, accurate predictions.
