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Nori is a tabular foundation model for regression via in-context learning: give it a few labeled rows as context and it predicts new rows in a single forward pass — no task-specific training or fine-tuning.

Choose how to run it

Run it locally

Install the open-source package and predict on your own machine. No key, no GPU required.

Call the hosted API

Send rows to our endpoint and get predictions back. No install, no GPU.

Why Nori

No training

Pretrained once; predict in seconds. No per-dataset training loop.

Works cold-start

Strong predictions from a handful of rows.

Uncertainty, free

A full predictive distribution — quantiles and prediction intervals out of the box.

Familiar API

A scikit-learn–style fit / predict estimator.

Explainable

SHAP, partial dependence, and feature selection built in.

Runs anywhere

Locally (open-source, GPU or CPU) or via the hosted API.

Next steps

Install

Pick the right package in one table.

Quickstart

Fit and predict in five lines.

API key

Set up a key for the hosted API.

Support

Email our team.