Announcing the Winners of the 2025 Tearsheet Lending Awards - Tearsheet
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Announcing the Winners of the 2025 Tearsheet Lending Awards - Tearsheet
"eCapital wins the Non-Bank Lender of the Year award for combining institutional scale with the speed and flexibility of a fintech lender. Over the past year, the company deployed more than $36 billion to 42,000 SMB clients across 81 industries, backed by $2.6 billion in lending capacity. Its covenant-light structures, real-time integrations, and AI-enabled underwriting allowed it to process funding up to 40% faster, giving businesses critical working capital when they needed it most - and setting a new standard for how non-bank lenders can power the real economy."
"Ocrolus earns the Best Data Product for Lenders award for reshaping how lenders turn data into decisions. Its SMB Dashboard brings together over a decade of intelligence - drawn from half a billion bank statement pages and 500+ cash flow data points - into one clean, decision-ready view. Features like the Book Overview Page and Enhanced Account Summary Tab give lenders real-time borrower health, industry context, and financial trends without the drag of manual work. The result: up to 80% faster reviews, sharper credit assessments, and leaner operations."
Lending is evolving with new players reshaping digital lending and expanding access to underserved markets. The 2025 Tearsheet Lending Awards recognize lenders, innovators, and products setting new industry standards. eCapital won Non-Bank Lender of the Year after deploying more than $36 billion to 42,000 SMB clients across 81 industries and maintaining $2.6 billion in lending capacity. Its covenant-light structures, real-time integrations, and AI-enabled underwriting enabled funding up to 40% faster, improving SMB access to working capital. Ocrolus won Best Data Product for Lenders with an SMB Dashboard built from over a decade of bank-statement intelligence, accelerating reviews and improving credit assessment accuracy. Best Egg won Best Consumer Lending Program.
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