Ocrolus

Ocrolus is a sophisticated Document AI platform that empowers financial institutions to make decisions faster and with greater accuracy by converting unstructured documents into actionable data. The platform uses AI to classify, extract, detect and analyze financial documents with industry-leading accuracy, allowing for faster and more accurate analysis and more efficient and accurate decision-making.

Ocrolus helps lenders mitigate risk and prevent fraud by automating the analysis of financial documents. Key features include:

• Classify: Categorize financial documents with machine learning.
• Capture: Extract and structure data with computer vision and human validation.
• Detect: Flag potential issues with tampering detection and validation.
• Analyze: Get a deeper understanding of cash flow and income with clean, normalized data.

The platform rapidly extracts data from any file, regardless of format or image quality, so you can trust the data you're making decisions on. It also speeds up processes by eliminating manual review and allows for on-demand scaling. Backed by bank-level security and a comprehensive audit trail, Ocrolus is a trusted solution for businesses.

Common use cases for Ocrolus include assessing cash flow, calculating income for consumers with complex employment histories, extracting address information, and rapidly retrieving employment data from multiple sources. It is used across a variety of industries, including small business lending, consumer lending, mortgage, auto lending, equipment leasing, forensic accounting, Medicaid, and multifamily.

Ocrolus can process a wide variety of documents, including bank statements, paystubs, W2s, 1040s, driver's licenses/IDs, passports, and mortgage statements. The platform's API enables the creation of innovative and streamlined customer experiences.

Prospective customers can schedule a demo to learn more about Ocrolus and see how it can help them streamline their document analysis and financial decision-making processes. The platform is designed to improve accuracy, speed processes and scale on-demand while maintaining compliance and security.

Published on June 14, 2024