Embeddings for
Data Scientists

Without any ML expertise required

• Use predictive queries to create state of the art GNN-powered vector embeddings that are purpose-built for the downstream ML problem you want to solve
• Generate embeddings using multiple predictive queries jointly (multi-task learning) to improve their latent signal
• Replace your dozens of complicated, brittle, and hard to manage feature engineering pipelines with a single pipeline that just updates your Kumo Graph and then retrieves the latest embeddings
• Powered under the hood by the leading framework for graph deep learning, Pytorch Geometric