Deep Cognition introduces its “trainingless” IDP solution

With the launch of its proprietary “trainingless” approach, Deep Cognition eliminates the need to individually set up, label, and train Al models on new document formats and adapts to new document types without the need for human intervention.

Deep Cognition, a generative AI company, announced February 6 the launch of its “trainingless” Intelligent Document Processing (IDP) solution. With the latest version of PaperEntry AI, Deep Cognition transforms documents into data at scale using generative Al without labeling, annotation, datasets, or training.

According to Deep Cognition, PaperEntry AI provides high accuracy on even the most complex document types and formats that the solution has never encountered before. With its proprietary “trainingless” approach and without the need for extensive setup or training, organizations are expected to see ROI from day one.

Kurt Knapton, CEO of Deep Cognition, commented: “We’re committed to helping companies conquer their data entry challenges using generative Al. We’re proud that our PaperEntry Al tool is leading the charge by delivering a significant breakthrough in the intelligent document processing space.”

Headquartered in Dallas, US, Deep Cognition specializes in using advanced AI to automate complex data entry. PaperEntry AI, its data entry automation software solution, streamlines complex documents in customs and beyond, including commercial invoices, packing lists, PGAs, and more.

You can find the full press release here.

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