SAP-RPT-1 is a pioneering Relational Foundation Model designed to bring the power of generative AI to structured enterprise data. Unlike standard language models, it uses a table-native architecture and In-Context Learning to provide instant predictions for regression and classification tasks without the need for traditional model training.

By understanding the semantic relationships within business tables, it eliminates the complex feature engineering and resource-heavy pipelines required by legacy analytics.

This model is integrated into the SAP Business Technology Platform, serving as an analytical "logical brain" that handles diverse industry use cases from cash flow forecasting to supply chain optimization.

Ultimately, the technology facilitates a shift toward Agentic AI, allowing autonomous business agents to reason and act based on real-time data insights. The research underscores its efficiency, noting it is significantly faster and more energy-efficient than general-purpose LLMs when processing tabular information.