
Nori is an open-weight tabular foundation model for regression that returns predictions on structured, tabular data in a single forward pass using labeled context rows — no training, feature engineering, or hyperparameter tuning required. It can run locally (CPU or GPU) or via a hosted API, and is licensed under Apache 2.0 for free commercial use.