Machine Learning

NLP Logix Joins Beeline Partner Ecosystem

NLP Logix

NLP Logix will offer artificial intelligence and machine learning automation solutions to increase productivity of the contingent workforce

NLP Logix, an artificial intelligence and machine learning solutions company, today announced it’s partnership and inclusion into the Beeline ecosystem. Beeline customers will be able to leverage NLP Logix’s task automation solutions to drive even greater efficiencies. Beeline is the leading technology solution provider for managing the global extended workforce.

“Beeline’s mission is to optimize the contingent workforce in every way and partnering with NLP Logix will add another layer to this optimization,” said Doug Leeby, Beeline CEO. “NLP Logix’s AI tools can analyze workflow and eliminate repetitive tasks, allowing the contingent workforce to offer even more value.”

Matt Berseth, Chief Information Officer, NLP Logix, said, “There are so many ways our automation sourced through Beeline can help companies. For instance, an insurance company may request a large number of professional adjusters to respond to a natural disaster, like a hurricane. NLP Logix would automate many of the tasks that it takes to estimate the claim. Additional examples include financial services companies that need data entry personnel to identify and remove credit card information from a document image, or an aerospace firm needing to optimize its contingent maintenance operations. These type of AI applications save time and efficiencies, boosting productivity for the workers and the companies.”

For the past 10 years, NLP Logix has demonstrated the ability to reduce repetitive tasks through the application of AI, often by factors of ten. The company uses machine learning technologies such as robotic process automation (RPA) to automate repetitive data entry tasks, computer vision to automate visual inspection of imagery including documents, and natural language processing (NLP) to automate the reading and interpretation of large amounts of written and audio information.

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