Infrrd, a global leader in Intelligent Document Processing (IDP), marks its 10th anniversary. Founded in 2016 to tackle the challenges of unstructured data, Infrrd is helping enterprises automate complex, document-heavy workflows with AI.
Infrrd’s platform is powered by a combined AI technology — natural language processing (NLP), machine learning (ML), and computer vision. This foundation enables organizations to extract and interpret data across structured documents like invoices and tax forms, as well as unstructured mortgage files and engineering diagrams.
Underpinning the platform is a proprietary AI engine backed by 12+ awarded patents covering innovations such as confidence scoring algorithms, document separation, entity relationship mapping, and template-invariant data extraction, ensuring consistent performance across structured, semi-structured, and unstructured documents.
Industry Recognition and Awards
“Infrrd has reinforced its position as a Leader in Everest Group’s IDP PEAK Matrix® Assessment 2026. The company is differentiating through strong capabilities in document fraud detection, accuracy reasoning, and automated document splitting… and an embedded chatbot assistant. Infrrd continues to outpace the market, with above-average growth in both revenue and client adoption.” — Vaibhav Bansal, Vice President, Everest Group. Infrrd has also been named a Leader in the Gartner® Magic Quadrant™ for IDP Solutions.
The Future
Looking ahead, Infrrd is advancing agentic automation through Ally, its Agentic AI layer built on top of its IDP platform. Trained on millions of real mortgage data points, Ally automates compliance, verification, and audit workflows through a chat-based interface — bringing human auditors in only when true judgment is needed.



























































































































































































































































































































































































































































































































































































































































































































































































































































































































































































































































































































































































































































































































































































































































































































































































































































































































































































































































































































































































































































































































































































































































































































































































