Welcome to episode 404 of the AI in Action podcast, the show where we break down the hype and explore the impact that Data Science, Machine Learning and Artificial Intelligence are making on our everyday lives.

Powered by Alldus International, our goal is to share with you the insights of technologists and data science enthusiasts to showcase the excellent work that is being done within AI in North America and Europe.

Today’s guest is Tigran Petrosyan, Co-Founder and CEO at SuperAnnotate. Founded in 2018, SuperAnnotate is helping companies build the next generation of computer vision products with its end-to-end platform and integrated marketplace of managed annotation service teams. SuperAnnotate provides comprehensive annotation tooling, robust collaboration, quality management systems, no-code neural network training and automation, as well as a data review and curation system to successfully develop and scale computer vision projects.

Tigran is a physicist turned tech enthusiast and entrepreneur. After earning his master’s degree in Physics from ETH Zurich in Switzerland, Tigran pursued his Ph.D. in Biomedical Imaging and Photonics. Just before graduating, Tigran dropped out of his Ph.D. program to start SuperAnnotate with his brother Vahan, following his passion for building comprehensive teams and making products people love.

In the episode, Tigran will discuss:

The journey to co-founding SuperAnnotate

How they are using ML and Computer Vision

Use cases of the impact they bring to partners

An insight into the team structure and working culture

Why SuperAnnotate is a great place to work

What the near future looks like for SuperAnnotate

To find out more about all the great work happening at SuperAnnotate, check out the website www.superannotate.com or follow them on LinkedIn and Twitter @superannotate. You can also connect with Tigran directly on LinkedIn.

What did you think of Tigran’s podcast? Where do you see the future of AI and Computer Vision in the industry heading over the next few years? We would love to hear your thoughts on this episode, so please leave a comment below.

If you’re interested in exploring our latest Data Science &ML jobs, check out our live vacancies or upload your resume today to keep up to date with all the latest opportunities.

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