![]() ![]() IDP solutions understand a wide variety of document formats and the content it contains extracting, validating, and integrating quality data into appropriate business processes and downstream systems.Īdditionally, IDP overcomes the limitations of legacy document capture tools like RPA and OCR and streamlines document processing using human-in-the-loop (HITL) machine learning to handle exceptions and to train and improve its capabilities over time. It uses a combination of technologies, such as optical character recognition (OCR), natural language processing (NLP), computer vision, machine learning (ML) and artificial intelligence (AI), to scan, classify, identify, and extract data. Intelligent document processing helps transform structured (forms), semistructured (checks, paystubs, invoices, etc…) and unstructured data (deeds, medical records, emails, contracts, etc…) from a variety of document formats into digitized and actionable information. It’s in these times that public and private organizations look to increase efficiencies and cut costs by targeting inefficient, manual processes. Times of economic uncertainty create even more demand for document processing technology. IDP software enables organizations of all sizes to remove costly and inefficient manual processes, improve data accuracy, and use their existing employees more effectively.Īccording to Gartner, the IDP market is growing more than 100% year over year, and is projected to reach $4.8 billion in 2022, proving that businesses are rapidly adopting document processing technology as the necessity for automating complex use cases continues to grow.Īnd there are no signs of this growth slowing down. Our industry-leading machine learning technology continuously learns and evolves, to involve humans only when needed.In the last few years, intelligent document processing (IDP) has seen rapid growth in adoption rate as organizations deal with high volumes of complex documents. By combining data, people, and processes into digital assembly lines, the Hyperscience Platform turns complex processes into simple, configurable workflows. Our human-centered approach to automation enables a new era of human and machine collaboration that delivers dramatically improved organizational agility, without the legacy cost and burden of change management. Hyperscience is transforming the future of work to elevate human potential. “This infusion of capital will help us support more languages geographically, as well as different types of content and modalities beyond just language, such as voice and images.”įor more information, visit. “The rise in unstructured data has created a rapidly growing gap between strategic questions and quick answers along the decision-making process,” said Peter Brodsky, CEO of Hyperscience. With machine learning and its proprietary human-in-the-loop functionality at its core, Hyperscience delivers automation that more easily adapts to business changes and evolving market dynamics-without the traditionally high cost of change management. This latest investment, on the heels of Hyperscience’s first acquisition, underscores growing interest in the company’s deeply human-centric approach that turns antiquated business processes into digital assembly lines, combining data, people, and processes. The new round of investment enables Hyperscience, with nearly 400 global employees-a 72% increase year-over-year-to further invest in talent and R&D, both organically and through acquisition. NEW YORK, December 22, 2021- Hyperscience, the human centered automation company, today announced it raised $100 million in Series E funding led by existing investors Global Founders Capital, Tiger, Stripes, and Bessemer. Investment underscores the company’s category-creating human-centered approach to automation ![]()
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