Trust Science gained important branding privileges this week.

The company obtained official, exclusive registration over the use of “Credit Bureau 2.0” as a trademark from the U.S. Patent & Trademark Office. According to a news release, Trust Science and its sister companies around the world now are licensed to use the mark.

Trust Science said it has invested many years and millions of dollars into building its AI-powered Credit Bureau 2.0 Software as a Service.

Trust Science acquires consented consumer data and alternative data about people and runs its patent-protected tools fueled by artificial intelligence and machine learning on that data to help finance companies.

In practical terms, the company said its products can help finance companies profitably increase originations, decrease defaults, and lower operating expenses courtesy of more automation of underwriting in a risk-reduced manner.

As a universal credit scoring service, Trust Science insisted Credit Bureau 2.0 can help generate financial inclusion for the nearly 75 million American adult consumers with an old, conventional subprime credit score, as well as the 3 billion other consumers in the world who have no proper scoring available at all.

“The trademark Credit Bureau 2.0 over which we now enjoy exclusive use announces to the world that Trust Science is leading a modernization drive toward the next generation of credit scoring and data-driven marketing services in the financial sector,” Trust Science founder and chief executive officer Evan Chrapko said.

“Combining our AI/ML and our Explainable AI (xAI) technology with truly unique data that we source in a proprietary way results in a highly predictive score (Six°Score) about the creditworthiness of people anywhere in the world,” Chrapko continued.

“Now that Trust Science has over 30 patents granted to it by 12 different countries — with many more patents pending — the ‘Credit Bureau 2.0’ trademark will help Trust Science to brand its leadership position,” he went on to say.

Trust Science recently hosted a webinar about what it called the “top five myths in data-driven underwriting.” A recording of the session is available on this website.