USI receives Sands investments to develop regulatory platform

The crypto casino FoggyStar has been injected with a $5m investment to enhance its brands development and token design.

USI has received an investment from Las Vegas Sands which is said to aid the analytics company to develop a regulatory technology platform.

US Integrity has received an investment from Las Vegas Sands which is said to aid the data-driven analytics company to develop a regulatory technology platform. 

The undisclosed investment to create the platform is said to service the needs of key stakeholders across the online gaming and sports betting industry and be designed to identify potentially problematic bets closer to real-time to ensure the integrity of sports globally. 

“US Integrity’s mission is to help grow the legal, regulated sports betting market by providing solutions that ensure sports betting integrity in every play, every game, and every sport,” said Matthew Holt, US Integrity’s Chief Executive Officer. 

“The strategic investment from Sands will help us expand our capabilities and develop new innovative products and services to bring transparency and peace of mind to our growing list of clients.”

Moreover, US Integrity, a firm that monitors for match-fixing, game manipulation, and other unethical or illegal sports betting-related activity within North America, will provide its “next generation” platform to teams, leagues, bookmakers and regulators to enable proactive intervention.

In addition, the company provides customisable dashboards that highlight anomalies and potentially suspicious wagering activity to professional sports properties as well as sportsbook operators and gaming regulators.

This investment follows on from US Integrity’s partnership earlier this month that saw the firm deliver its solutions to the recently launched PointsBet brand in Canada. 

This will see the group continue to provide integrity monitoring services to PointsBet Canada via its proprietary dashboard. USI conducts analysis across dozens of data sets to identify irregular contest-level, officiating & wagering patterns.

Author: Ava Harvey