HyperScience’s AI-based platform extracts data from paper documents, legacy forms, invoices and more. We’re thrilled to be named a “Hot Vendor” and “Major Contender” by leading analyst research firms Aragon Research and Everest Group.
Millions of documents move between businesses and customers worldwide every day, and the old ways of processing documents – relying on outdated, legacy data capture products or large data entry teams – can’t compete in today’s fast-paced world. Across industries, the focus has shifted from storing and managing documents to unlocking the data they contain and being able to use that information in meaningful ways.
According to Aragon, Workflow and Content Automation (WCA) recognizes “the multitude of ways that documents are generated and then moved inside and outside of an enterprise to conduct business.” In October 2018, Aragon Research named HyperScience one of its “Hot Vendors in Workflow and Content Automation,” citing our modern approach to Machine Learning that “results in greater automation out of the box that results in strong ROI within a very short period of time.”
Why does Aragon call our “automation and accuracy combined with fast time to value hard to beat”? Download the free research note here.
In March 2019, HyperScience was named a “Major Contender” in Everest Group’s first ever intelligent document processing (IDP) PEAK Matrix report. Everest Group defines intelligent document processing as “any software product or solution that captures data from documents (email, text, PDF, scanned), categorizes, and extracts relevant data for further processing using AI technologies…” and expects the market to grow at a compound annual growth rate of 70-80% over the next two years to nearly $1.1 billion by 2020.
In its comprehensive report, Everest Group evaluates 16 top technology vendors according to their vision and strategy, product capability, implementation and support, commercial model, and value delivered. Download the full report to learn what makes HyperScience a Major Contender.Back to Articles