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AlgoFace, a computer vision Face AI startup in Arizona, has been selected by The Phoenix Business Journal as a finalist in the software category for the AZ Inno Fire Awards. The Fire Awards recognize top startups in Arizona that are making a substantial impact on innovation and serve as a driving force in the local technology ecosystem. 

Out of 60 nominations for the Fire Awards, the AZ Inno staff selected AlgoFace as 1 of 5 finalists in the software category. The 2023 Fire Awards will be presented by Blue Cross Blue Shield of Arizona at Papago Golf Club on June 15 from 5 p.m. to 7 p.m. 

“Being selected as a finalist is certainly an honor but being named alongside a class of startups with the pedigree and maturity of BlueTail, ISOS Technology, Promino Tech, and Qwik is phenomenal.” said Andrew J. Bart, the CEO of AlgoFace. “Since being named a finalist, Sandra Watson, President & CEO of Arizona Commerce Authority and David Schweikert, Arizona Congressman each reached out to personally congratulate us and we are truly humbled.” “We look forward to doing our small part by adding quality jobs and helping to attract other artificial intelligence and computer vision companies to Arizona,” says Bart.

About the Inno Fire Awards: 

The Inno Fire Awards are presented by Arizona Inno, the leading news source for local startups. Arizona Inno is part of American Inno, a network of over 44 digital media and event platforms highlighting local innovation formed in 2013. In 2022, Arizona Inno hosted its first Fire Awards event featuring 14 businesses and honoring six female founders. The Inno Fire Awards recognize the brightest in Arizona’s startup community and celebrate the state’s thriving innovation ecosystem. In 2023, the Inno Fire Awards will feature 15 businesses and honor five female founders across every major city in Arizona. 

​​About AlgoFace

AlgoFace makes it easier to build and deploy trusted responsible Face AI solutions. Our B2B & B2G Ethical Face AI Enablement Engine leverages computer vision, machine learning, and generative AI to power applied AI solutions that operate on the edge.  Featuring privacy by default and ethical AI frameworks, our 2D facial landmark tracking, 3D face mesh, iris tracking, head pose estimation, and hair segmentation offer enterprise grade accuracy and speed, with minimal power requirements.  Our core Face AI Enablement Engine can be used to develop 2D and 3D Face AI solutions across mobile, desktop, embedded systems, AR/VR, and the Metaverse.