Converge
Converge automates commercial credit underwriting by reading every document in a loan file, reconciling conflicting evidence, and surfacing entity, guarantor, collateral, and policy risks with citations to specific pages and lines. The platform is in production with institutional lenders in private credit, real-estate-backed, bridge, and non-bank origination segments, reducing human time on supported checks by up to 90%.
- Financial Technology
- Artificial Intelligence
- Software Only
- Data & Analytics
Funding
Funding not disclosed
Founders
Founder details are not available yet.
Product
Problem
Commercial credit underwriting requires lenders to manually read, reconcile, and judge 30–50 risk assessments buried across every loan file, a process that is expensive, slow, and prone to human error. Analysts routinely miss risks hidden three or more documents deep, especially under workload pressure, and the rationale behind decisions lives in scattered notes or people's heads, creating audit and handoff gaps.
Solution
Converge automates the entire document-to-decision pipeline for credit files. The platform reads every document in a file, reconciles conflicting evidence using a defined source hierarchy, assesses entity, guarantor, collateral, and policy risks, and cites every conclusion back to its source document, page, and line. Lenders receive decision-ready files with full audit trails, eliminating the manual review burden while surfacing more risk per file. The system is already in production with institutional lenders, particularly in private credit, real-estate-backed, bridge, and non-bank origination segments.
Target Audience
Primary customers are institutional lenders in private credit, real-estate-backed lending, bridge financing, and non-bank originators that underwrite complex commercial loan files by hand.
Features
- Automated document classification, extraction, and reading of every page in a file, not a sample
- Source-hierarchy-based reconciliation that resolves conflicting evidence (e.g., a filing outranks a form, which outranks an email)
- Entity, guarantor, collateral, and policy risk assessment with severity ratings and rationale for each finding
- Citation layer that traces every conclusion to a specific document, page, and line
- Tolerance engine that flags engineered ownership structures, such as a guarantor added 11 days before application and removed 9 days after closing