IRIS (Canon Group) Employee Directory
IT Services and IT ConsultingWallonia, Belgium51-200 Employees
IRIS, a fully-owned subsidiary of the Canon Group since 2013, has established itself as a global leader in intelligent document processing and automation. With more than 35 years of experience, the company combines its deep expertise in OCR, document recognition, and AI to power efficient digital workflows. Through its flagship platform IRISXtract™, IRIS automates the capture, classification, and extraction of critical data from invoices, mail, and hybrid documents. Its suite of SDKs, including IRISOCR™ and IRISMobile™, allows developers to seamlessly integrate OCR, barcode recognition, document conversion, and data capture functionality into their own applications. IRIS’s portfolio spans native tools for business software, desktop scanning, cloud services, and embedded technologies, delivering solutions tailored to sectors such as education (including dyslexia support), healthcare, legal, logistics, public services, and real estate. Whether handling accounts payable, digital mailrooms, purchase orders, or hybrid forms, IRIS’s solutions are designed to minimize errors, accelerate processing, cut costs, and improve traceability and auditability across hybrid work environments. Supported by a global network of over 200 integrators, VARs, BPOs, and partners, IRIS has powered more than 5,000 deployments of IRISXtract™ worldwide and reaches tens of millions of users daily. The company operates internationally with a focus on EMEA and the U.S., and continuously drives innovation through its AI research initiatives—recently embedding open-source models and launching IRISPulse models for document recognition tasks. As a strategic center of competence within Canon, IRIS drives synergy between software, scanning hardware, and AI technologies. With its mission to help organizations reclaim control over information flows and automate repetitive tasks, IRIS is committed to enabling clients to focus on their core business by handling the complexity of document and data automat
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