Overview
Kumo is a next-generation predictive AI platform for relational data that lets you generate high-quality predictions directly from your data warehouse without model training or feature engineering.
At its core is KumoRFM, a relational foundation model trained on large-scale real and synthetic relational data that performs in-context predictions. It learns from your existing data at query time without training, enabling fast, production-ready predictions with minimal setup. For use cases that require additional optimization, KumoRFM can also be fine-tuned for task-specific performance.
Prediction tasks are defined using Predictive Query Language (PQL), a lightweight SQL-like interface. Kumo’s coding agent translates natural language into PQL and helps you author and iterate on SDK-based workflows directly in your notebook or IDE of choice.
The KumoRFM SDK supports two modes:
For instant, in-context predictions. No model training required.
For optimizing performance on specific tasks with custom training.
AI agent that translates natural language into PQL and SDK workflows.