Available on Baseten
AWS SageMaker
Open source
Code and weights.
Apache 2.0. Commercial use allowed.
Open-weight tabular foundation model
Nori V1.
Nori V1 is the open-weight foundation model for tables. Apache 2.0 code and weights, free for commercial use.
Model at a glance.
ExplainableBuilt-in interpretability
100M+ rowsScales to real-world data
No feature engineeringRaw tables in
No training or tuningNo hyperparameter search
Structured + unstructuredTables and text together
Quickstart
One call to predictions.
Pass test rows with labeled context. Nori returns predictions without fitting a new model.
pipinstallsynthefy-noriWeights download once and are cached locally.
from synthefy_nori import NoriRegressor model = NoriRegressor()predictions = model.predict(X_test, X_train, y_train)predict() takes test rows and labeled context in one call. Single GPU with automatic CPU fallback.Benchmarks
Beats tuned XGBoost / LightGBM zero-shot.
No feature engineering, training, or hyperparameter tuning.
Read the full evaluationFrontier performance at just 30M parameters
Nori-30M thinking beats Google’s 1.6B TabFM on median R².
Median R²0.8500.8550.8600.8650.8700.8750.880
Frontier performance at just 30M parameters
Nori-30M rivals Google’s 1.6B TabFM at roughly 50× smaller.
Combined Elo7008009001000110012001300
Run Nori
Open source or managed.
Managed API
No infrastructure to run.
Hosted through Baseten with SOC 2 Type II and zero data retention.
API quickstartFAQ
What should developers know about Nori?
What is Nori?
Nori is an open-weight foundation model for tabular prediction.
Does Nori require training or hyperparameter tuning?
No. Pass test rows with labeled context in one predict() call, and Nori returns predictions without fitting a new model.
Can Nori run locally on private data?
Yes. Install synthefy-nori, download the weights once, and run Nori locally. The weights are cached after the first download.
Is Nori free for commercial use?
Yes. Nori’s code and model weights are licensed under Apache 2.0 and are free for commercial use.