DGTAL launches AI document processing tool
DGTAL, a Swiss-based Software-as-a-Service company, has launched an artificial intelligence data capturing & process automation tool designed to accurately extract and validate crucial information from standardised documents.
GRABBER, a new cross-sector product, is build upon DGTAL's flagship product, DRILLER, by using innovative approaches in optical character recognition (OCR), natural language processing (NLP), computer vision, machine learning (ML), and artificial intelligence (AI).
DGTAL said that GRABBER is designed to deal with a number of documents across claims portfolios. It utilises similar AI approaches to DRILLER, while going much deeper by looking for specific information in specific documents. For instance, in the health insurance domain, GRABBER can automatically calculate private vs. social security contributions, validate invoice charges against price catalogues, cross-check ICD codes with medical examination protocols, and identify financial discrepancies with precision.
DGTAL further explained that "GRABBER delivers 95%+ accuracy in data extraction and Straight Through Processing (STP) and reduces processing time by 80%. GRABBER offers multi-language support and high universality, which allows the software to classify and extract data from any type of document despite format, style of text, and complexity. GRABBER will be offered as a standalone product or as an add-on to DRILLER."
Arndt Gossmann, DGTAL's CEO, commented: "GRABBER has been spawned by our first DRILLER clients. Amazed by how AI supports proactive management of claims portfolios, our clients want to go deeper. If it is possible to flag 132 critical cases from 500’000 claims files within milliseconds, claims experts obviously ask how AI can allow a deeper dive. Today, I am proud to present our value proposition to address this need. GRABBER answers specific questions on specific documents after DRILLER answered the questions across entire portfolios. Both products deliver unprecedented insights from unstructured data and can be used independently. As to GRABBER, we even predict interest from other industries. I am confident that GRABBER will hit €1M revenues within the next 12 to 18 months."
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