Built for regulated operations and your perimeter

Run sovereign SLMs across AML, fraud, and compliance with control, speed, and audit readiness.

Buyer Perspective

Designed for fraud, compliance, and platform teams

Each function gets the controls and evidence it needs without introducing a separate AI operations stack.

Fraud Operations

Route high-risk activity into review lanes with stable thresholds

Keep analyst workload aligned to capacity during transaction spikes

Move from alert volume to decision quality as the operating KPI

Compliance and Model Risk

Track every model release with governance approvals and lineage

Provide examiner-ready records for threshold and policy changes

Validate model behavior before release into regulated workflows

Platform and Engineering

Deploy in-region and inside bank-controlled infrastructure

Integrate into core banking, case management, and alert systems

Operate one stack across AML, fraud, and adjacent controls workflows

Control Posture

Sovereign by architecture

The platform is designed so regulated institutions can keep ownership of deployment, data boundaries, and operational policy.

Sovereign Control

Your perimeter

Run in your environment with in-region controls and no dependency on external frontier APIs for core decisioning.

Sovereign Control

Your governance

Own release policy, approval gates, and rollback rules with clear accountability across risk and engineering.

Sovereign Control

Your institutional memory

Continuously improve model behavior through controlled updates tied to analyst and reviewer feedback loops.

Ready to run regulated decisioning in your perimeter?

Launch with a bank-aligned pilot across AML, fraud, and compliance workflows, with governance and integration built in from day one.