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Trueface and Modzy partner on AI-powered facial recognition and spoof detection tools

Operationalizing artificial intelligence into strategic initiatives
Trueface and Modzy partner on AI-powered facial recognition and spoof detection tools

Trueface has partnered up with Booz Allen’s artificial intelligence platform provider Modzy to develop AI-powered biometric solutions for enterprises.

The partnership will see Trueface’s facial recognition and spoof detection capabilities to be enhanced via the incorporation of Modzy’ artificial intelligence algorithms.

“We are very excited to begin this partnership with Modzy and empower customers with our facial recognition and spoof detection technology,” said Trueface CEO Shaun Moore.

Trueface has recently updated its platform to enable facial recognition encryption to be extended to a wide range of everyday processes and objects. Now, the company is aiming at deploying its biometrics solutions on a wider scale.

“We see the potential for enterprises who traditionally may have had difficultly operationalizing AI to quickly reap the benefits of our technology through the standard delivery of the Modzy platform’s dockerized container solution,” Moore explained.

The new collaboration with Modzy will now enable TrueFace to enhance its biometrics solutions with improved AI capabilities.

“Our partnership with Trueface signals a breakthrough in computer vision applications,” commented Norm Litterini, head of Partnerships at Modzy. “As we expand our marketplace in this high-demand area, we sought a partner who provides both best-in-class capabilities and a thoughtful, vigilant approach. Trueface is a critical capability to enable customers to quickly operationalize AI into strategic initiatives.”

Trueface’s partnership with Modzy is just the latest one this year, with the company joining the Trade & Travel acceleration program in August, and entering a third contract with the U.S. Air Force in October.

The team also participated in the International Face Performance Conference (IFPC), conducting a session aimed at reducing geographic performance differentials in face biometrics.

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