Kumo AI models for relational data

The most useful business data - such as transactions, customers, and inventory - lives in your data warehouse. Yet AI models have historically struggled with relational structures, requiring time-consuming feature engineering or lossy workarounds to use it for predictive or generative AI applications. The Kumo platform uses breakthroughs in Graph Transformers and Relational Deep Learning (RDL) to let you build highly accurate predictive and embedding models directly on relational data, with zero feature engineering. This lets data scientists and engineers ship more accurate predictive and generative AI applications across the business up to 20 times faster than with traditional methods.