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Saturday, October 11, 2025
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Ntropy Partners with Ocrolus to Revolutionize Financial Data Enrichment

Ntropy, the industry-leading AI powered financial data standardization and enrichment solution, is proud to announce a partnership with Ocrolus, a cutting-edge intelligent document automation software provider.

This exciting collaboration will empower our customers across lending, financial operations and digital banking to leverage Ocrolus’ state-of-the-art document analysis software, enabling both seamless financial data capture from PDFs such as bank statements, payslips, and tax documents and enrichment in one place.

By combining Ntropy’s advanced enrichment capabilities with Ocrolus’ exceptional document analysis technology, the fintech industry will be able to accurately extract and enrich financial data from any source and in any geography. Ocrolus has established itself as a market leader, achieving an impressive accuracy rate of over 99% by harnessing the power of machine learning and implementing “Human in the Loop” quality control measures.

Ntropy’s founder, Naré Vardanyan, expressed enthusiasm about the partnership, stating, “We are super excited to partner with Ocrolus, the leading document automation provider on the market. Ocrolus was easy to integrate with and has meant we can focus on our core capability, financial data enrichment. This brings us closer to our goal of making it super easy to build with financial data, regardless of the source.”

Sam Bobley, Co-founder and CEO of Ocrolus, echoed Vardanyan’s excitement: “We’re thrilled about our integration with Ntropy, combining our document analysis capabilities with their financial data standardization solution. The partnership will broaden our collective reach, opening the door to new use cases and geographies.”

The synergistic partnership between Ntropy and Ocrolus marks a significant milestone in the financial technology landscape. By seamlessly integrating their cutting-edge technologies, the two companies aim to revolutionize the way financial data is extracted, standardized, and enriched. This collaboration will enhance the accuracy and efficiency of data processing and streamline operations, enabling businesses to confidently make data-driven decisions.

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