What MouseCat does
MouseCat is agentic AI infrastructure for fraud investigations. It automates and scales transaction reviews so risk teams can run human-quality investigations, surfacing high-confidence fraud while also identifying false positives flagged by other systems. The platform deploys within a customer's own cloud environment for data control.
Key capabilities
- Automated transaction reviews that identify both fraud and false positives
- Learns from analyst feedback, case notes, and ground-truth labels such as chargebacks
- Tests agents against evaluation datasets, and exposes prompts, tools, and evaluation pipelines for customer customization
- Deploys in the customer's cloud and integrates with existing data, vendors, and APIs
Who it's for
MouseCat serves risk operations teams, fraud analysts, and ML/data science teams that want to scale investigation capacity without proportional headcount growth. It is designed to reduce manual review load and uncover high-confidence cases, including false positives that affect revenue.