MouseCat

MouseCat is an AI platform for fraud and anti-money-laundering teams that detects suspicious activity, runs investigations, and takes action before funds leave. It covers the risk team lifecycle: learning from standard operating procedures, historical data, and case notes; detecting anomalies across transactions, accounts, devices, and counterparties; investigating with evidence trails and explainable decisions; and routing cases to human agents or acting automatically on high-confidence cases.

The platform includes an AI Investigator module that trains custom agents to perform complex fraud and compliance investigations, alongside fraud and scam prevention, account security, and compliance and AML capabilities. It supports sanctions screening against the OFAC SDN list, money-laundering detection, AML alert review, and SAR drafting linked to underlying evidence. Detection spans transaction types including cards, ACH, wires, Zelle, checks, and crypto, with analysis of device changes, behavioral anomalies, bots, account takeovers, and synthetic identities. MouseCat integrates with existing compliance stacks and can generate rules and model features for use in a customer's own systems.

MouseCat is built for risk and compliance teams at banks, credit unions, crypto exchanges, e-commerce sites, i-gaming operators, and marketplaces. The pages describe a demo-led engagement model and do not specify free plans, trials, editions, or seat-based and usage-based packaging.