Federated Intelligence:
The New Standard in Risk Detection

Modern fraud and compliance threats evolve faster than individual institutions can respond. Traditional approaches rely on siloed data, manual rules, and reactive models. This creates blind spots, especially for smaller or resource-constrained organizations.

We offer a collective solution: a federated intelligence layer that adapts to emerging risks across a network of participants. This system, a “security blanket,” empowers every customer to benefit from patterns observed elsewhere, without sharing sensitive data.

We inject patterns from public alerts, typologies, news, and analyst observations to anticipate tomorrow’s risks.

Minimal Schema, Broad Reach

By standardizing around a core set of features, we eliminate the need for custom data work, allowing even small institutions to participate and benefit.

We train models across institutions to identify new behaviors like fraud, structuring, and layering, even before an individual institution sees them.

Federated Learning Backbone

Synthetic Trend Simulation

AI-Powered Solutions

Transforming financial crime detection through privacy-preserving federated learning for banks and fintechs.

Collaborative Approach

Enhancing detection capabilities by empowering institutions to work together without compromising sensitive information.

Driving Results

Our innovative, self-improving models detect more financial crime and have lower false positive rates, at a fraction of the cost of legacy solutions.