Transform structured business data into actionable insights

Leverage SAP’s Relational Pretrained Transformer model (SAP-RPT-1) in the generative AI hub to gain predictive insights from enterprise data without building models from scratch.
Woman on a laptop working, with images of the user interface of the SAP RPT-1 playground and testing environment for predictive insights with tabular AI on structured data.

What is SAP-RPT-1?

SAP-RPT-1 is a relational pretrained transformer model that delivers accurate predictive insights from structured business data. SAP-RPT-1 uses in-context learning, allowing users to provide data records to generate instant, reliable predictions without any model training.

A screenshot of the SAP RPT playground landing page with equipment sourcing, service ticket prioritisation, and payment delay prediction sample scenarios for users to test the SAP-RPT-1 model.
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  • Pretrained for structured data to eliminate costly and time-consuming model training.

  • In-context learning to deliver instant results directly from data records at runtime.

  • Resilient to changing and incomplete data to deliver dependable predictions.

  • Powered by business data for accurate, enterprise data-driven insights.

  • Available in two commercial versions in the generative AI hub, each tuned for a different speed and accuracy balance, and also as an open-source release.

Key benefits

Accelerate time to insights

Deploy predictive AI for structured data instantly and reduce weeks of data preparation to hours without the need of model training or specialised ML expertise.

Generate accurate insights from imperfect data

Achieve up to 2X prediction quality compared to narrow AI models and 3.5X compared to language models, even when business data is incomplete or changing. SAP-RPT-1’s resilient architecture is designed to handle real-world data quality challenges that limit traditional models.

Scale predictive power across the enterprise

Leverage a single model for classification and regression, across business units and scenarios, simplifying deployment and reducing the need for hundreds of use case–specific models.

Key features

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In-context learning API

SAP-RPT-1 processes classification and regression tasks using real or sample data records provided directly in API calls. The model identifies data patterns within each request context to generate accurate predictions.

Pretrained relational architecture

Built with an inherent understanding of tabular structures, data relationships, and business logic, SAP-RPT-1 handles structured datasets, changing values, and enterprise data formats without custom preprocessing or feature engineering.

No-code testing playground

The SAP-RPT playground enables users to configure prediction scenarios and evaluate model performance through an intuitive, interactive interface. Test multiclass classification and numerical regression using your own data or SAP-provided samples.

Resources

ConTextTab: semantics-aware learning for tabular data

ConTextTab unites language model semantics with table-native efficiency to achieve high performance on real business tabular prediction tasks.

Try SAP-RPT-1

Explore AI-powered predictions in seconds. Upload your CSV or use our sample data files, run real-world scenarios, and see instant insights from your business data with no setup or coding required.

Frequently asked questions

A RPT model is an AI system pre-trained on large, structured, relational datasets to learn common tabular data patterns. Unlike large language models that process text sequences, SAP-RPT-1 is designed to understand relationships in structured data, such as sales records, financial transactions, supplier performance tables, or human resources metrics.

In-context learning allows the model to understand patterns on the fly and instantly adapt to new scenarios from example records in your API call to provide immediate and accurate contextual predictions.

Yes. SAP-RPT-1 can be tested for free at the SAP RPT playground available at https://rpt.cloud.sap . Configure prediction scenarios and evaluate model performance through an intuitive, interactive interface to test multi-class classification and numerical regression using your own CSV data file or SAP-provided samples.

There are two commercial builds: sap-rpt-1-small for faster, sub-second responses; and sap-rpt-1-large for increased accuracy. An open-source release, sap-rpt-1-oss, is available on Hugging Face and GitHub. Commercial editions are offered through the generative AI hub in SAP’s AI Foundation.

The SAP-RPT playground is a demonstration platform. By using this service, you agree to comply with applicable data protection regulations. By uploading data to the SAP RPT playground, you acknowledge that you have the necessary rights and permissions to use this data. The data will be processed in accordance with our privacy policy and applicable data protection regulations. We do not store your data permanently, and it will be deleted after processing. For more information, please refer to our Terms of Service and Privacy Policy. Any given API token must be treated like a password. Never commit it to version control or share it in public forums.

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