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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:

KumoRFM

For instant, in-context predictions. No model training required.

KumoRFM Fine-Tuning

For optimizing performance on specific tasks with custom training.

Kumo Coding Agent

AI agent that translates natural language into PQL and SDK workflows.

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Get Started

Pre-Trained Quick Start Notebook

Open in Google Colab

Fine-Tuning Quick Start Notebook

Open in Google Colab