Building an AI Unicorn: Glean CEO Arvind Jain (Part 7)

Sramana Mitra: Language models have evolved a lot.

Arvind Jain: There is that vision for the future. The nature of knowledge work is going to change. We are going to have these powerful assistants that are going to take care of most of the repetitive time-consuming tasks as well as the tedious parts of search. While the technology is powerful, it’s also very hard to make it work for you. There are problems with instability in the sense that you can ask the same question four times and it comes back with a different answer each time.

Building an AI Unicorn: Glean CEO Arvind Jain (Part 6)

Sramana Mitra: I’m going to ask you this question, computer scientist to computer scientist. Really great work in search is a matter of great algorithms. Algorithms are not necessarily people intensive. Five people can write great algorithms. Is this really a people-intensive business? Google was never a people-intensive business. They hire a lot of people, but the core products were not scaling by hiring people.

Building an AI Unicorn: Glean CEO Arvind Jain (Part 5)

Sramana Mitra: There’s another positive impact that happened during the pandemic. On the sales side, organizations became comfortable buying products over Zoom calls. You do everything on Zoom. Large deals were closing purely on Zoom calls.

Arvind Jain: Yes. In our first year, we had one sales person. Then we hired the second one. We were able to get a lot of customers signed up. Zoom is interesting. It’s very efficient. You don’t spend a day to travel to a customer.

Building an AI Unicorn: Glean CEO Arvind Jain (Part 4)

Sramana Mitra: This strategy that you followed is good for companies that have a lot of early-stage funding. It’s not so easy to follow for companies that are trying to work in a very constrained financial resources situation. What did you learn? Focus on the nuggets of what you learned from the early customer engagements when you were not charging yet?

Building an AI Unicorn: Glean CEO Arvind Jain (Part 3)

Sramana Mitra: In your selection of which investors to work with, what was your decision making? Was it people you worked with before?

Arvind Jain: There are two key investors in our first round. One of them was Ravi from Lightspeed. I had worked with him in my previous startup. It was an easy choice from that perspective. We also raised from Kleiner Perkins. They had the right experience for us.

Building an AI Unicorn: Glean CEO Arvind Jain (Part 2)

Sramana Mitra: This problem has been identified a long time ago. People have tried to build such enterprise knowledge management companies before. I’ve seen many of these attempts. Mostly they’ve failed. While these attempts were made and failing, there was an explosion of digital tools and data. All this was happening in parallel.

In 2019, the enterprise world is more data-rich. There’s more to draw from. AI has become mainstream by this time. What is it in your approach that is different in 2019?

Building an AI Unicorn: Glean CEO Arvind Jain (Part 1)

Arvind is an experienced entrepreneur who was able to raise $15M on a concept to solve a big problem. Since then, Glean has been abundantly funded, generates abundant revenue and has become a legitimate Unicorn.

Sramana Mitra: Let’s start at the very beginning of your journey. Where are you from? Where were you born and raised? What kind of background?

Building a Fashion E-commerce Business and Surviving Covid: Go Dash Dot CEO Hannah Fastov (Part 7)

Sramana Mitra: Did revenue take a hit in 2020?

Hannah Fastov: It did. That was when we were able to see the benefits of the direct to consumer business that we had built. It remained equal to the year prior.

Sramana Mitra: You did $2 million in 2020?

Hannah Fastov: Yes.