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STELLAR AI Lab

Fintech

Fraud, credit risk and real-time decisions

Digital lenders and payment companies need to decide in milliseconds with data that arrives from dozens of sources, while regulators ask for explainability.

We build the data foundation and the models that let fintechs approve, price and monitor at scale: streaming ingestion of transactions and events, a governed warehouse, and ML models for fraud detection, credit scoring and collections that are auditable end to end.

Typical outcomes are lower fraud losses, faster onboarding and a risk function that can explain every decision to a regulator.

Fintech
  • Real-time fraud detection

    Score transactions in under 100 ms with features computed on streaming data.

  • Credit scoring with alternative data

    Open banking, device and behavioral signals combined with explainable models.

  • Collections optimization

    Prioritize accounts and channels by propensity to pay.

Ready to put your data to work?

Tell us about your challenge. We will come back with a concrete first step within two business days.

Get in touch