Agent Store

Monitors model input datasets to detect training-to-current data drift.

Collects ESG data from PDFs, emails, and ERP systems.

Generate synthetic data to augment datasets for training and testing.

Integrates multi-source data into clean datasets, KPIs, and quality insights.

Maps insurance data lineage and explains transformations clearly.

Automates dataset classification to support ROPA data mapping.

Automates data quality tests with ML-assisted analysis and validation.

Builds a partial Solvency II data dictionary from client Excel metadata.

Detects data quality issues and recommends corrective actions.