Face Analysis & Detection AI
AlgoFace makes it easier to build and deploy responsible Face AI solutions. Our B2B and 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 trusted privacy by default and responsible ethical AI frameworks, our 2D and 3D facial landmark tracking, face analysis, and eye gaze estimation 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.
Our face AI tech operates completely on the edge/on device, over multiple camera types and operating systems, and is developed to be compliant with privacy laws. In addition to our ethical privacy standards, we develop and maintain 100% of our core technology stack. We have multiple patents, commercialized recurring revenue in the Retail and Metaverse verticals, and are developing core technology for horizontal application via corporate partnerships across other verticals, including Consumer Electronics, Health, Mobility, Building Analytics, and more. Our technology enables a deeper understanding of the human form, to detect and analyze faces more accurately, more easily and more clearly. It is powered by an inclusive and representative dataset, and upholds the highest standards in ethical AI. Our Face + Camera solutions also enable real-time, more realistic video, and can run on cost optimized hardware, to provide better and more robust customer experiences.
Additionally, it can take a corporation 18-24 months and millions of dollars to build a Face AI infrastructure, particularly because AI/ML/CV talent is expensive and hard to find. Whereas, utilizing AlgoFace and our world-class technical team, lead by multiple PhDs, can short-cut that timing and cost significantly via a collaborative approach to help the corporation build their applied Face AI solution.
Headquartered in Arizona, we are a diverse team of passionate innovators with deep rooted knowledge in computer vision, AR and applied AI applications. Our CTO/Co-Founder holds a PhD in Computer Vision, has several patents in facial analysis AI, and is considered a world leading authority in the space. Our key scientific advisor (Ramesh Raskar) is also widely considered one of THE world's leading authorities of AI, as an MIT Professor and a Director at their MIT Digital Media Lab. Our CTO recently joined MIT as a Research Affiliate, and we are thus well embedded within MIT's AI ecosystem.