Ocrolus

Ocrolus operates an AI-based workflow and analytics platform that converts financial documents and digital data into structured credit analytics for lenders. The platform specializes in bank statements, pay stubs and tax forms, combining automated document capture with fraud detection and human-in-the-loop verification, and is delivered through an API and a dashboard with integrations into loan origination systems [0][1][4].

The company markets vertical solutions for small-business (SMB) funding and mortgage lending, and supports additional use cases including auto finance, consumer lending, legal, Medicaid, tax and tenant screening. Its stated positioning is cash flow and income-based underwriting, aimed at helping lenders reach faster and more accurate decisions [0][1][2]. Reported customers and users include Enova, Better, Kapitus, Fora Financial, Eagle Community Credit Union, Argyle, and, per a venture portfolio description, PayPal, Brex, SoFi, Plaid and Lending Club [0][1][3][5].

Founding story

Sam Bobley conceived the company while in college after his father described an elder law attorney's need to manually review hundreds or thousands of pages of bank statements for Medicaid applications, which federally require 60 months of financial records. Bobley and a high school friend began researching the problem in his parents' kitchen when he was 22, concluding that no turnkey technology handled the variety of financial document formats. The breakthrough concept was modeled on Google's CAPTCHA approach: automate what machines can read and route unreadable snippets to human verifiers, using the verified output to train the system [4][5].

Business model

Ocrolus sells document-processing and credit-analytics software to financial institutions, delivered via API and a web dashboard and integrated into customers' loan origination systems; its website references outcome-based unit economics for pricing [0][1].

Business-to-business software sold to lenders and financial services firms, with the site describing outcome-based unit economics tied to processed documents and applications [0][1].

Traction

Ocrolus reports 3,700+ active user accounts and analysis of approximately 750,000 credit applications per month. As of 2020 it processed nearly 500 million financial transactions annually and converted over 30 million pages of financial documents into data at 99% accuracy, with more than 900 employees across four offices. One customer, Fora Financial, reports data extraction turnaround under 15 minutes, and Better states over 95% of its documents are processed through Ocrolus [0][1][2][4][5].

Latest developments

The company's site presents vertical AI solutions for SMB funding and mortgage underwriting plus expanded use cases, reports 3,700+ active user accounts and 750,000 credit applications analyzed monthly, and states it has raised $110 million in venture funding [0][1][2].