Tenyks
Inventing the way humanity interacts with AI
Tenyks is a University of Cambridge spin-out inventing the way humanity interacts with AI to protect the world from the terminator, but also to ensure that AI is developed with passion, excitement, and joy! We are building an MLOps monitoring and validation platform that helps ML developers working with computer vision data to build more reliable software faster. Specifically, our platform helps ML developers understand what's wrong with their algorithms and fix issues. The founders developed the technology during their PhD research in Explainable AI for Computer Vision and it is the result of 9 top tier publications and 1 patent application.
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Botty Dimanov
Botty holds a PhD in Explainable AI from the University of Cambridge. During his studies, he started 4 bootstrapped businesses with little external funding, while publishing 7 papers at Top Tier AI conferences. As the President of the Cambridge University Entrepreneurs Society, Botty turned around the organisation during its worst years to increase the annual KPIs by 50%.
Dmitry Kazhdan
Dmitry is finishing his PhD in Explainable AI from the University of Cambridge. During his studies, Dmitry has co-authored over 8 academic papers, and supervised 4 student thesis projects. In addition to his academic expertise, Dmitry has gained relevant industry experience through Software Engineer and Machine Learning Researcher internships at companies such as Arm, Nokia Bell Labs, and Redgate Software.
