Transform structured data with SAP-RPT-1.5

Operationalise SAP’s relational pretrained transformer model and gain predictive insights from enterprise data without building models from scratch.
Man 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-1.5?

SAP-RPT-1.5 is a relational pretrained transformer model that uses in-context learning to deliver accurate predictive insights from structured business data.

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The SAP-RPT-1.5 AI model is available with:

  • Pretraining for structured data to eliminate costly and time-consuming model training.

  • In-context learning that delivers real-time, dependable predictions amid changing and incomplete data.

  • Built-in governance, reliability, and explainability that enable end-to-end pipeline management with.

  • Two commercial versions in the generative AI hub, each tuned for a different speed and accuracy balance.

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-1.5’s resilient architecture is designed to handle real-world data quality challenges that limit traditional models.*

Scale predictive power across the enterprise

Use a single model for classification and regression across business units and scenarios, simplifying deployment and reducing the need for multiple use-case-specific predictive models.

Key features

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In-context learning API

SAP-RPT-1.5 processes classification and regression tasks using existing business data sources or sample records provided directly in API calls. The model identifies data patterns within each request’s data context to generate accurate predictions.

Pretrained relational architecture

Built with an inherent understanding of tabular structures, data relationships, and business logic, SAP-RPT-1.5 handles structured datasets, changing values, and enterprise data formats without custom preprocessing or feature engineering.

Tabular orchestration workflows

Operationalise SAP-RPT-1.5 with a unified enterprise-grade platform that embeds predictive intelligence into pipelines and manages them with built-in governance, reliability, and explainability.

Two versions for infinite use case possibilities

SAP-RPT-1.5-small

  • Low latency.

  • High prediction throughput.

  • Basic prediction use cases.

SAP-RPT-1.5-large

  • High accuracy.

  • Lowest error rates.

  • Complex prediction use cases.

Resources

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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.

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In-Context learning for relational data

Read more about SAP's revolutionary table-native foundation model that uses in-context learning to handle enterprise prediction tasks without custom training.

FAQ

An 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-1.5 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. The SAP RPT Playground will be upgraded to SAP-RPT-1.5 in late September 2026.

Yes. An open-source version, sap-rpt-1-oss, is available on Hugging Face and GitHub for research and non-commercial purposes. SAP-RPT-1.5 is only available in SAP's generative AI hub in two commercial versions.

The tabular orchestration workflow capability (generally available in late 2026) will operationalise the model. The capability will be delivered on SAP’s generative AI hub, accessible via APIs, and launched with context-selection and model-selection modules. The workflow will remove the need for manual context engineering and model handling by automatically selecting the right context, building the API call, and returning predictions based on query rows provided at runtime.

Yes, model observability (generally available in July 2026) will enhance trust and transparency through predictions, detailed factor impact, and data attribution—complementing the top-k predictions and confidence interval enhancements already in SAP-RPT-1.

*Numbers assumed for consumer products company with €1 billion in revenue and 2,000 employees. Annual benefits result from one or more value drivers. Source: SAP Value Management.

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