Upload a CSV, pick a target column, and get predictions from SAP's pretrained tabular model — no model training, no code required.
Applications
Upload one or more CSVs and predict missing values using SAP RPT-1.
Run both models on the same dataset and compare predictions side-by-side.
RPT-1 (Relational Pretrained Transformer) is SAP's foundation model for tabular data. It uses in-context learning — your labeled rows become the model's few-shot examples, and it predicts unknown values in a single API call. No training pipeline, no feature engineering.
It handles both classification (categories, statuses, labels) and regression (numeric targets like price or quantity) from raw tabular data.
Labeled rows act as few-shot examples. No retraining or fine-tuning.
Mixed numeric and categorical columns work out of the box.
Each classification prediction includes a confidence percentage.
Just a CSV and an API key. No infrastructure or pipelines needed.