Mousecat AI
MouseCat builds AI agents for fraud investigation, enabling risk teams to scale human-grade analysis to every case by connecting disparate data sources and automating investigations.
At a Glance
- Fintech
- Marketplace Platforms
- Risk Operations Teams
- Data Science/ML Teams
AI Tools by Mousecat AI
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Mousecat AI
AI Browser Automation No Code
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Latest News
MouseCat Joins Y Combinator Winter 2026 Batch
Joseph McAllister Leaves Coinbase to Launch MouseCat AI with Nicholas Aldridge
MouseCat Founders to Speak at Marketplace Risk Conference in Austin
Y Combinator Features MouseCat's AI Fraud Investigation Agents
Products & Services
An AI-powered toolkit for risk teams to automate fraud investigations, feature generation, and rule development.
Market Position
Differentiated as an AI Toolkit for Risk Teams that focuses on reasoning and explainable decisions, allowing human-grade analysis at scale rather than relying on black-box risk scores.
Leadership
Founders
Nicholas Aldridge
Co-founder & CEO. Previously a Core Maintainer of MCP (Model Context Protocol) and a Principal Engineer at AWS.
Joseph McAllister
Co-founder & CTO. Previously worked on ML infrastructure and risk at Coinbase for 4 years.
Executive Team
Nicholas Aldridge
Co-founder & CEO
Former Principal Engineer at AWS and Core Maintainer of MCP.
Joseph McAllister
Co-founder & CTO
Former ML infrastructure and risk lead at Coinbase.
Board of Directors
Founding Story
Founded by longtime friends Nicholas Aldridge and Joseph McAllister. McAllister left Coinbase after four years to build MouseCat, focusing on scaling risk operations with AI.
Business Model
Revenue Model
Enterprise SaaS/On-prem subscription model with usage-based or seat-based pricing (custom for enterprise customers).
Pricing Tiers
Tailored pricing based on volume, integrations, and deployment model (including on-premises options).
Target Markets
- Fintech
- Marketplace Platforms
- Risk Operations Teams
- Data Science/ML Teams
- Risk Operations Scaling
- KYB Fraud Investigations
- Automated Rule Development
- ATO and Payments Fraud Modeling
- Synthetic Label Generation for Data Science