Algoface

Algoface

Computer vision venture client studio whose enablement engine powers trusted and ethical Face AI solutions.

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$275k

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Founded in 2020 by Taleb Al-Kassir and Andrew Bart, Algoface operates as a computer vision venture client studio, focusing on ethical Face AI solutions. Al-Kassir, the CEO, brings a background in AI and machine learning, complemented by Bart's, the CTO's, expertise in computer vision and software development. The company has its headquarters in Carefree, Arizona.

Algoface has developed a Face AI enablement engine, a B2B and B2G platform designed for integration across mobile, desktop, and embedded systems, as well as emerging platforms like AR/VR and the Metaverse. This technology provides developers with tools for creating applications that require understanding of the human face, without needing in-house AI expertise. The core functionalities include highly accurate facial landmark tracking, detailed face analysis, eye-gaze estimation, and synthetic data generation. A significant feature is its deepfake detection capability, which addresses growing concerns around manipulated media.

The business model is centered on providing this engine to other businesses and government entities, enabling them to build their own 2D and 3D Face AI solutions. The company emphasizes responsible technology, building its algorithms to be inclusive and to function with a high degree of accuracy across diverse populations. This focus on ethical considerations, such as privacy and mitigating bias, is a key market differentiator. Algoface has participated in several accelerator programs, including the first cohort of the Arizona State University pre-accelerator program in 2020, and was also a cohort company at AlchemistX, a venture-backed accelerator, in the same year. The company secured pre-seed funding in late 2020 to expand its team and enhance its technology platform.

Keywords: Face AI, computer vision, ethical AI, facial landmark tracking, deepfake detection, B2B technology, identity verification, augmented reality, machine learning, data privacy

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