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Trusaic Secures New Patents Focused on Clean Data & Flawless Compliance

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Trusaic, a data solutions provider for regulatory compliance,  has been helping businesses to reduce their risks, maximize opportunities, and keep up with rapidly changing regulatory requirements. The company’s software solutions bring together advanced data analytics with human expertise to help clients have the support they need.

In a bid to step up its efforts and deliver the best possible data for customers, the company announced it was just issued two patents by the United States Patent and Trademark Office (USPTO) to assist with workforce data cleansing, calculation, machine learning, and artificial intelligence.

Patent No. 10,976,965 (Optimization of In-Memory Processing of Data Represented by an Acyclic Graph So that the Removal and Re-Materialization of Data in Selected Nodes are Minimized) and Patent No. 10,977,008 (Single Data Class for In-Memory Creation and Programmatic Access to Arbitrary Data in A Strongly-Typed Computer Programming Language) will be used with the company’s Workforce Analytics Machine (WAM) so that it can better consume large amounts of data, analyze and cleanse it, and then make the appropriate calculations with the data to ensure compliance.

The enhanced offering can now quickly and easily extract workforce data from structured and unstructured data sources and can be used for any payroll or HR system.

“Clean data is the key to flawless compliance,” said Robert Sheen, CEO, and founder of Trusaic. “From multiple data sources, Trusaic consolidates, cleans, and transforms data into accurate, actionable intelligence. The issuance of these patents further underscores the robustness of our offerings and the tremendous impact of AI-powered data processing combined with workforce analytics.”

Earlier this year, the company released a Free ACA E-File product to provide HR professionals with a Penalty Risk Assessment to identify errors before submitting ACA report filings to the IRS.




Edited by Luke Bellos

Future of Work Contributor

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