MouseCat Analysis

Automate user and business research for fraud; Generate testable hypotheses from investigations; Backtest candidate rules against historical data; Discover anomalies in training data; Create synthetic labels for fraud detection

MouseCat offers AI-powered tools specifically designed for fraud investigations. Their main product features include:

1. Automated Research for Risk Operations: The platform automates the research process into users and businesses, drawing connections between disparate data sources. It also provides a complete audit log with explainable decisions, enhancing transparency and accountability.

2. Feature Extraction for Machine Learning and Data Science: MouseCat's tools can extract intelligent features from unstructured data, allowing users to explore and backtest new features and rules automatically. Additionally, it generates synthetic labels to help identify fraud even before ground-truth labels are available.

Key Benefits:

• Accelerates the investigation process, allowing teams to close cases faster.
• Reduces the need for manual reviews, streamlining operations.
• Improves decision-making processes through enhanced data insights and explainability.

Overall, MouseCat's offerings are tailored to meet the needs of risk operations teams in financial services, data scientists in fraud detection, and compliance officers, making fraud investigations more efficient and effective.

Backed by Y Combinator; Founders with experience at AWS and Coinbase; Significant metrics include 10x more investigations closed and 85% reduction in manual review