FaceFirst Announces Headquarters Move to Texas





Press Release

For Immediate Release

FaceFirst 11801 Domain Blvd, 3rd Floor Austin, TX 78758 www.FaceFirst.com (818) 540-9800



FaceFirst announces Headquarters Move to Texas

FaceFirst will move its corporate headquarters from Los Angeles, CA to Austin, TX, joining a growing list of companies choosing to settle into the Lone Star State.

August 18, 2021

FaceFirst is excited to announce it will relocate from its current headquarters in Los Angeles, CA to Austin, TX. The software company joins a growing list of companies choosing Texas as the best location for their corporate headquarters. The new office space is in the Domain, formally the IBM headquarters and home to many other emerging technology companies who are choosing to make Austin its home base.

“Austin is a hot new tech hub and as our business evolves, we want to be closely engaged with other emerging technology partners. Texas is centrally located for our customers, but it also is a fast-growing city known for its lifestyle benefits and therefore we hope it serves as a great recruitment opportunity,” said CEO Dan Merkle. “The COVID-19 pandemic influenced how and where we work. We have become far more flexible in how we engage with our employees, partners, and customers. Locating in Austin helps that approach.

Dara Riordan, Chief Operating Officer at FaceFirst, said “In addition to the pandemic creating a remote business operation overnight, it gave us pause to look at the cost of our business and the operational limitations in California. Austin is an emerging and vibrant city that is quickly becoming an epicenter in this country for technology and business and we are thrilled to be part of it.”



FaceFirst is a world leading face recognition and visual AI platform company that helps customers globally to create safer communities and more secure, personalized, and seamless experiences. FaceFirst provides a fully automated, turnkey mobile and live video biometric identity system, proven to operate at scale with the highest level of accuracy in real time.