Faster Processing.
Accurate
Underwriting
Lending enterprises must balance speed, accuracy, and compliance - but manually processing documents is slow, error-prone and leads to poor customer experience. HyperVerge’s document AI-powered solutions help solve these challenges.
Key Challenges in Bank Statement Analysis
for Small Business Lending
Small business lenders rely on bank statements to assess cash flow and liabilities, but scanned
documents are unstructured, making analysis manual, slow, and error-prone.
Manual processing needed for scanned bank statements
Lack of intelligence on revenue/ non-revenue transactions, loan from other lenders
The Solution: AI-Powered Bank Statement Analysis
HyperVerge’s small business lending solution enriches raw bank statement data, delivering
actionable insights in seconds while slashing manual effort.
Cut turnaround time from minutes to under 5 seconds with >80% straight-through processing
Extract key metrics like balance, income, spend patterns, borrowing from other lender with AI
Eliminate duplicate transactions from multiple bank statements to ensure accurate analysis
Catch fraud with checks for tampering, fudging, and manipulation
What Our Customers Say
Real outcomes from lending teams using HyperVerge to
speed up underwriting without losing control of risk.
"We were not buying software. We were optimising one of the most important steps in our funnel.
Working with HyperVerge felt like a partnership from
the get go - from spending time understanding our
challenges, sitting down with teams to codify the tribal
knowledge and tailoring the output to exactly suit our
needs.
The outcome: 80% productivity improvement
for background checks."
Can you flag transactions from the other lenders?
Yes. We can identify and flag inflows and outflows related to other lenders for better credit visibility.
Can you handle both digital PDFs and scanned bank statements?
Yes. Our system can processes native PDFs and scanned/image-based statements with high accuracy.
Do you flag suspicious or fraudulent statements?
Yes. We can detect anomalies, tampering patterns, and inconsistencies to flag potentially fraudulent documents.