TL;DR

MouseCat uses AI agents to do human-quality fraud investigation at scale. MouseCat integrates with your proprietary data, learns from your feedback and past cases, and runs continuously, not just at transaction time.

Ask: If you or someone you know is struggling with label quality or time-to-mitigation for new fraud trends, visit mousecat.ai to book a demo!

https://youtu.be/MLmW-pXIpEo

❌ The Problem

Most businesses rely on a combination of rules, traditional ML models, and manual review to stop fraud. This creates three major pain points. These systems:

1. Adapt slowly to new fraud trends
2. Are designed for point-in-time review and not continuous analysis of risk
3. Result in a high number of false positives when patterns change, leading to lost revenue

As AI makes it easier to commit fraud, these gaps are leading to an explosion in losses.

🐭🐱 Our Solution

MouseCat is dedicated to building the best AI platform for fraud investigation.

MouseCat's agents conduct fraud investigation like a human would. They review internal case information, search for additional details from databases, APIs, etc., refer to prior cases for context, and distill the most important evidence needed to make a decision. MouseCat uses its insights to identify fraud rings and propose mitigations with new backtested rules/features.

With MouseCat, companies get:

1. Continuous Improvement: Agents that continuously improve based on past cases and analyst feedback.
2. Continuous Review: Post-transaction analysis to spot and mitigate fraud trends faster.
3. Custom Integration and Data Ownership: On-prem deployments that integrate with customers’ existing data sources and APIs.

Plus, MouseCat handles production hurdles like evaluation, monitoring, distributed failures / retries, and more.

Imagine if your best analyst could investigate every transaction...

🙏 Our Ask

If you answer “yes” to any of these, we’d love your help:

• Can you introduce us to folks on fraud teams at banks / fintechs / marketplaces?
• Are you leading a fraud team? You can book a demo at: mousecat.ai.

👉 Contact us at hello@mousecat.ai

Your help can make a huge difference. Thank you!

👥 Our Team

Nick and Joe have been friends for six years and co-founded MouseCat earlier this year. They bring deep expertise in both AI and fraud detection systems.

Nick Aldridge (CEO) is one of nine Core Maintainers of the Model Context Protocol (MCP), and was a Principal Engineer at Amazon where he led products like Bedrock Knowledge Bases and AgentCore. Nick earned his BA/MS in Mathematics and Computer Science from the University of Chicago.

Joseph McAllister (CTO) worked on ML infrastructure and fraud detection models at Coinbase, and he sold his first startup while studying CS at Cornell University.