Bizzy Labs provides Libretto, a regtech solution that utilizes artificial intelligence and a library of over 600 business rules to identify data anomalies in mortgage loan portfolios. This technology enhances loan quality and compliance, resulting in reduced servicing costs and improved profitability through timely remediation of data issues.
Funding
Funding not disclosed
Founders
Product
Problem
Mortgage loan portfolios often contain data anomalies that can lead to increased compliance risk, borrower dissatisfaction, and reduced loan valuations. Manual reviews and interventions are time-consuming and may not catch all discrepancies, resulting in higher servicing costs and potential regulatory penalties.
Solution
Bizzy Labs' Libretto is a regtech solution that leverages artificial intelligence and a comprehensive library of over 600 business rules to automatically identify data anomalies within mortgage loan portfolios. By scanning 100% of loans, Libretto enables timely research and remediation of data issues, improving loan quality and reducing compliance risk. The platform's business rule engine aligns with specific operational needs, ensuring accurate and tailored anomaly detection. Libretto's capabilities translate into lower servicing costs, improved borrower satisfaction, and increased profitability for mortgage servicers.
Target Audience
Libretto is designed for mortgage servicers and financial institutions seeking to improve loan quality, reduce compliance risk, and enhance profitability through automated data anomaly detection and remediation.
Features
- Comprehensive business rule engine with over 600 rules sourced from clients, regulators, and investors
- AI-powered anomaly detection for identifying data integrity issues in mortgage loan portfolios
- Daily, department-specific checklists for resolving customer loan issues
- Integration points and APIs to support different data platforms
- Remediation tasks feed directly to operations teams for efficient issue resolution
- Proactive identification of compliance issues across the entire loan portfolio