US Patent Issued to Gusto on Dec. 23 for "Machine learned entity issue models for centralized database predictions" (Colorado, New York, Washington, Illinois, California, Massachusetts Inventors)

ALEXANDRIA, Va., Dec. 23 -- United States Patent no. 12,505,396, issued on Dec. 23, was assigned to Gusto Inc. (San Francisco).

"Machine learned entity issue models for centralized database predictions" was invented by Christian Franklin Hillson (Highlands Ranch, Colo.), Jacques Robert Caspi (Denver), Andrew Collins Bessey (New York), Lilly Anne Pieper (Boston), Ryan David Kappedal (Olympia, Wash.), Jasmine Walker Motupalli (Centennial, Colo.), Addison Woodford Bohannon (Chicago) and Rebecca Alice Carter (Oakland, Calif.).

According to the abstract* released by the U.S. Patent & Trademark Office: "A central database system trains and applies machine-learned models based on characteristics of one or more entities associated with the centra...