Tenvos
Technology, Information and MediaView the employees at
Tenvos-
Arian Shamei Applied Scientist @ Tenvos | Researcher @ UBC | Speech & AI
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Vancouver, British Columbia, Canada
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Rising Star
Akhil Meethal PhD Student - Machine Learning and Computer Vision-
Montreal
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Top 10%
Rima (Seiilova) Olson Co-Founder/CEO at Tenvos | Forbes AI 50 | Fierce 15-
Top 10%
Daniel Liang Student at Ward Melville Senior High School-
Stony Brook, New York, United States
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Rising Star
Xinglei Liu Machine Learning Research @ Tenvos | MS in Applied Data Science @ USC | BS in Computer Science @ Purdue-
Los Angeles, California, United States
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Rising Star
Overview
Tenvos identifies impairment stemming from various factors such as drug and alcohol use, fatigue, and sleep deprivation. This easy-to-use solution can be implemented both before and during shifts to proactively prevent workplace accidents. Those who build our roads, transport goods across the nation, and assemble our cars deserve to return safely to their families every night. We prioritize their well-being while respecting their right to privacy. As employers shift away from intrusive drug tests, there is a growing demand for detection tools capable of identifying impairment in the workplace. As societal attitudes towards substance use evolve from seeing it as a crime to recognizing it as a health issue, employers now have the chance to extend support to individuals facing frequent impairment, leading to improved loyalty and retention.
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