Industries

Transform industrial decisions with TabPFN

From predictive maintenance to supply chain optimization, TabPFN handles any new prediction task in seconds.

Unlock operational efficiencies with the power of your data

TabPFN delivers state-of-the-art predictions instantly so you can plan your workforce, equipment and operations with confidence.

Handles complexity at industrial scale

TabPFN can handle messy data, mixed data types, and cases with limited data availability

Superior anomaly detection & forecasting

TabPFN is the SOTA at spotting equipment failures, quality issues, and operational anomalies and works with exogenous data

One model for all use-cases

Replace dozens of specialized models with one foundation model that handles any industrial prediction task

Zero-shot predictions

Get institutional-grade results immediately — no data prep, no model selection, no long training runs & no retraining needed

High impact use cases

Energy Demand Forecasting: Steel Manufacturing

This dataset contains 35,040 timestamped records from a steel production facility tracking energy consumption (kWh), reactive power, power factor, CO2 emissions, and operational load types. The goal: predict energy usage patterns for cost optimization and demand planning.

TabPFN achieves 99.9% normalized R² without tuning, outperforming CatBoost (97.8%), LightGBM (95.2%), and XGBoost (96.6%).

Steel manufacturers can forecast energy demand across production schedules. Operations teams optimize power contracts, reduce peak demand charges, and align production with lower-cost energy windows. Data scientists deploy models without weeks of iteration for each facility or product mix change.

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