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AlgoFace develops cutting-edge, face analysis and detection technology at the intersection of artificial intelligence, computer vision, augmented reality, and data privacy.
About
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. 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.
Key Benefits
The advantages of our core technology utilize computer vision to track key facial landmarks that detect and analyze human faces with greater accuracy, and that can run on cost optimized hardware. These performance features provide for better and more robust customer experiences. Our patented face analysis technology also operates over multiple camera types and operating systems, on the edge/on device, and is developed to the highest ethical privacy standards for privacy compliance. Our algorithms were intentionally designed with privacy in mind and our technology does not store data to the Cloud. Our AI was also trained with an inclusive and representative dataset to minimize bias, making ours fully inclusive face analysis software.
Applications
AlgoFace's virtual try on (VTO) experience validates the customer’s desire to be accurately portrayed by creating a hyper realistic and authentic experience. By providing a more accurate rendering and placement of beauty products on the face via edge-based, on-device virtual try ons, our technology provides a more realistic experience. For retail customers and cosmetic OEMs, this drives higher online and in-store conversions, while reducing returns and increasing follow-on purchases for higher Customer Lifetime Value - all while delivering a much better customer experience. Enabled by the commercialized success of VTO, we are also developing facial analysis solutions across other verticals, to include: Metaverse (digital avatars/twins); building spatial & audience analytics (headcount, visitor demographics, in-store media effectiveness); consumer electronics (eye gaze/tracking); health (vital sign detection, facial motion capture/analysis); and mobility (driver monitoring).