Ephesoft nominated for the Document Manager Awards 2018 in four categories
Finalist in the award categories Company of the Year, Product of the Year, AI/Robotic Process Automation Product of the Year and Data Capture/Recognition Product of the Year
IRVINE, Calif. – September 06, 2018 – Ephesoft, a leading provider of Supervised Machine Learning-based document capture and analysis solutions has been nominated for the Document Manager Awards 2018 in four categories. Ephesoft has successfully advanced to the finale in the categories Company of the Year, Product of the Year, AI/Robotic Process Automation Product of the Year and Data Capture/Recognition Product of the Year. During the final round, the winner is chosen by the readers of the magazine Document Manager. Until October 31 they will be able to vote for Ephesoft and other contestants at http://dmawards.com/ to choose the winners.
Ephesoft’s innovative approach to handling unstructured data is what distinguishes it as Company of the Year. By turning previously useless information into valuable, actionable assets, Ephesoft supports businesses in making well-informed decisions and benefitting from the digital transformation. As the first provider in the industry to launch a cloud-based CaaS platform (Capture as a Service), Ephesoft uses a flexible Open Source-based architecture, in contrast to other providers with more costly client server architectures. This flexibility enables businesses to streamline their business processes and increase their efficiency. Innovative, flexible and customer-oriented – these are the attributes, which made Ephesoft a finalist in the category Company of the Year.
For the categories Product of the Year, AI/Robotic Process Automation Product of the Year and Data Capture/ Recognition Product of the Year, Ephesoft brings its Supervised Machine Learning-based smart capture solution Ephesoft Transact to the table. Unlike conventional document capture, Ephesoft Transact uses the support of “human trainers”, which help the solution to validate the correct document classifications. This allows the software to “learn”, enabling it to become faster and more precise over time. The underlying technology of Ephesoft Transact is based on artificial intelligence (AI), specifically deep learning, which is integrated into robotic process automation (RPA). This combination of machine learning and robotics support creates intelligent process automation (IPA), during which smart machines learn from user decisions and improve themselves on that basis. Thanks to IPA, businesses can reduce the error susceptibility of their processes to a minimum, leverage automation to save both time and money, and gain new insights and therefore better access to customers – of course while fulfilling all required compliance standards. This approach elevates Ephesoft Transact above simple document scanning and optical character recognition (OCR).
The Document Manager Awards are presented for the twelfth time this year. The exclusive event is held on November 22, 2018 in London, where finalists and guests can not only experience the award ceremony itself, but also expect quality entertainment and plenty of opportunity to network. Tickets to the event are available on the awards website.
Ephesoft, Inc. delivers Smart Capture® technology on a private or public cloud platform that turns the world’s unstructured content into actionable information. Using supervised machine learning and a focus on efficiency and reliability, Ephesoft has crafted the next generation of smart document capture technology. Organizations use this power to automate any document-based business processes, improving accuracy, increasing productivity and reducing costs. Ephesoft is headquartered in Irvine, Calif., with regional offices throughout the US, EMEA and Asia Pacific. The company is undergoing rapid growth and has customers in over 50 countries. To learn more, visit www.ephesoft.com.
For further information, please contact:
Birgit Wölker & Dominique-Silvia Kemp
60487 Frankfurt am Main
+49 69 970705-71 /-35