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Yaron Saghiv is a highly experienced technology leader and innovator, currently serving as the Co-founder and Chief Technology Officer (CTO) of Supersmart. With over two decades in the tech industry, Yaron specializes in Artificial Intelligence, Computer Vision, and developing scalable software solutions, particularly for the retail sector. At Supersmart, he spearheads the technological development of AI-powered autonomous checkout systems, aiming to revolutionize the shopping experience. Prior to Supersmart, Yaron held significant leadership positions, including VP Engineering at Microsoft, following the acquisition of his AI-driven wellness company, FareWell. He is passionate about leveraging cutting-edge technology to solve complex real-world problems and drive business growth.
Yaron Saghiv's work history includes a series of influential roles in various companies. Here is a detailed list of his professional journey:
Co-founded Supersmart and leads its technology strategy, developing innovative AI and computer vision-based autonomous checkout solutions for retailers worldwide, significantly enhancing the shopping experience and operational efficiency.
Co-founded FareWell, an AI-powered personalized wellness and nutrition platform, which was successfully acquired by Microsoft. Following the acquisition, Yaron served as VP Engineering at Microsoft, integrating and advancing the technology within Microsoft's ecosystem.
Recognized for his deep expertise and leadership in applying AI, machine learning, and computer vision to create practical and impactful solutions, particularly in transforming the retail industry and developing intelligent systems.
Columbia Business School - Year 2024
Bar-Ilan University - Year 2013
Ruppin Academic Center - Year 2009
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UVeye is a technology company that develops and provides automated, AI-driven vehicle inspection systems. Their solutions leverage advanced computer vision, machine learning, and sensor fusion technologies to quickly and accurately detect mechanical issues, damage, and other anomalies on vehicles. These systems are designed for use by automotive manufacturers, dealerships, fleet operators, and rental car companies to improve efficiency, safety, and customer satisfaction in vehicle maintenance and quality control processes.
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