Indigo adds AI to mortgage lenders' existing technology stacks to automatically extract, classify, and validate data from over 1,700 real‑estate contract types with 99% accuracy.
Funding
Funding not disclosed
Founders
Product
Problem
Real estate lenders must manually extract, classify, and validate data from a wide variety of contracts and documents, a process that is time‑consuming, error‑prone, and difficult to scale across multiple systems and partners.
Solution
Indigo adds AI capabilities to lenders’ existing technology stacks, automatically extracting key information such as dates, terms, and participant details from over 1,700 contract types with 99% accuracy. The platform classifies documents, applies more than 10,000 validation rules—including cross‑checks with MLS data—and synchronizes the resulting data across the lender’s workflow tools. By centralizing transaction data and providing real‑time notifications to partners, Indigo streamlines the closing process, improves compliance, and offers analytics that give lenders a comprehensive view of program performance.
Target Audience
Indigo’s primary customers are mortgage lenders, loan servicers, and real‑estate financing platforms that need to automate document processing and improve data reliability across their transaction pipelines.
Features
- AI‑driven extraction engine with 99% accuracy for a broad library of 1,700+ real‑estate forms and contracts
- Automated classification and routing of documents to appropriate systems without requiring data migration
- Validation engine supporting 10,000+ rule sets, including multi‑document and MLS data cross‑validation
- Seamless integration with existing lender platforms to keep partners informed via early notifications and synchronized documents
- Centralized data repository with an AI data coach that answers queries and generates custom visualizations of business metrics
- Real‑time analytics dashboard that tracks funnel participation and overall program performance