Building an AI-Powered Pharmaceutical Services Business: VIDA CEO Susan Wood (Part 4)

Susan Wood: There are people out there who are walking around with a prevalence of lung disease that they’re not even aware of. You can have low-level or medium-level lung disease and not feel that much difference in your day-to-day life. When you have a pandemic and you have this acute impact on your respiratory

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Building an AI-Powered Pharmaceutical Services Business: VIDA CEO Susan Wood (Part 3)

Sramana Mitra: Did you succeed in raising venture capital? Susan Wood: Within the state, yes. The last round was a couple of years ago. That was with First Analysis out of Chicago. I’ve got some Silicon Valley money, but mostly from Midwest. Sramana Mitra: It’s a common storyline where you get the early-stage funding from

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Building an AI-Powered Pharmaceutical Services Business: VIDA CEO Susan Wood (Part 2)

Sramana Mitra: Did you work in engineering all through this period? Susan Wood: No. When I left Hopkins, I actually worked in a business capacity. It was a very technical sale. I probably wasn’t as heavy on my programming ability as a lot of the people in the company. I started learning my MBA on

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From PhD Student to Machine Learning Entrepreneur: SuperAnnotate CEO Tigran Petrosyan (Part 5)

Sramana Mitra: How is it working with your brother? Tigran Petrosyan: Many people tell me that they would never work with their siblings. When you do it right, it can be a blessing. We have done quite a lot of work early on to make sure that not only the brotherhood works, but also the

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From PhD Student to Machine Learning Entrepreneur: SuperAnnotate CEO Tigran Petrosyan (Part 4)

Sramana Mitra: After raising that $100,000, you went to the accelerator. Did the accelerator give you some money? Tigran Petrosyan: Yes. It was $100,000. Sramana Mitra: Is there any other investment? Tigran Petrosyan: We had a few other angels and pre-seed. The big part came when we raised our seed round in early 2020 with

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From PhD Student to Machine Learning Entrepreneur: SuperAnnotate CEO Tigran Petrosyan (Part 3)

Sramana Mitra: What emerged as your target market? Tigran Petrosyan: This is a good question. Machine learning can be applied to all kinds of industries. Initially, our target was computer vision. Basically, those who use images to get intelligence out of images. This was our niche. We started to build an engine to attract clients.

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From PhD Student to Machine Learning Entrepreneur: SuperAnnotate CEO Tigran Petrosyan (Part 2)

Sramana Mitra: When you applied to the Berkeley accelerator, how much time passed between your $100,00 funding to the accelerator? Tigran Petrosyan: We got accepted to Berkeley after two months and then into the program after four months. Sramana Mitra: How long were you in the accelerator?

From PhD Student to Machine Learning Entrepreneur: SuperAnnotate CEO Tigran Petrosyan (Part 1)

Tigran and his brother were Ph.D. students when they decided to quit their Ph.D. program and build a company out of their Ph.D. research technology. They have since raised over $15M in funding and built a customer base of ~200 in their ML Ops business. They are leveraging countries like Armenia and Bangladesh for development

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