We aim to equip global decision-makers with accurate, trustworthy, and timely consumer transaction data

Descover insights on data collected from diverse locations around the world.



Parsing and normalising heterogeneous transaction logs into model-friendly schemas.
Sequence labeling for event streams, entity linking across accounts, anomaly annotation for fraud/risk detection.
Global coverage, providing comprehensive, high-quality transaction datasets
Curated benchmarks for false-positive reduction and precision/recall optimisation in compliance models.
No matter how powerful the model, poor data leads to poor outcomes. That’s why we focus on providing clean, structured, and context-rich datasets



