HyperVerge Introduces AI Agents to Assist Business-Loan Underwriting

HyperVerge’s September 9 launch targets the preparation of a business-loan file: gathering financial information, assisting applicant discussions and checking the business behind an application. Final decisions on complex loans remain with people, according to cofounder and chief executive Kedar Kulkarni.

In an ET AI interview, the company described three agents covering financial documents, video-based personal discussions, and checks against corporate, litigation and sanctions records.

What the early evidence says

HyperVerge reported trials with about ten mid-sized lenders and production use of its video-discussion agent at three. It also reported shorter preparation times in pilots. These are company statements, not an independent evaluation of loan quality.

Kulkarni described source-linked flags and an audit trail, with lenders comparing outputs against existing workflows before expanding use. That gives a clearer picture of the intended deployment than a claim that AI simply replaces underwriting.

Why it matters

The difficult test is whether an underwriter can reliably reconstruct how a flag was produced. A wrong association between two people with similar names could be more consequential than a slow search. A summary that looks complete but omits a material document could move a file faster while weakening the decision.

A useful evaluation would measure omissions and false flags as well as turnaround time. It would show how often reviewers override the system, how disputes are handled and whether performance holds across different document formats and borrower groups.

These are proposed evaluation criteria, not reported product results. The material reviewed does not establish that automated preparation improves repayment outcomes or gives every applicant fairer access.

The product’s promise is a more usable evidence file for the person making the decision. Demonstrating that promise requires both efficiency and a traceable account of mistakes.

Image: HyperVerge’s official underwriting dashboard illustration; displayed data are examples.