11.15-16.23-RD-Databento

CHRISTINA QI: Hey, everyone. I'm Christina Qi, the founder and CEO of Databento. So I actually just celebrated my 10-year reunion. I graduated undergrad in 2013. So very excited to be back on campus 10 years later. So I come from the financial industry. And if you work ever in quantitative finance, you'll understand that getting data in our industry is very, very difficult. This is a real screenshot of my previous company trying to get data.

We sent over 100 emails, and it took about 11 months to get access to the financial stock price data that we needed to get our job done. It also was really expensive, by the way. It's usually $60,000, and we did a study internally. We found out that we were only using 2% of the data that we actually purchased. So it was a very frustrating experience. So we started Databento to try to make data more accessible to the rest of the world.

And so here you'll see, we take data from 40 different sources currently today. We aggregate it into one platform. And then we make it super customizable and very easy to access. So say you're a researcher, and you're looking for, let's say, gold futures or options prices here. You'll be able to customize that data in any way you want. So we have a dozen, over, customizations you can do. And then, also, you can track data usage on your team. So these are all kind of unique features that we provide to make it easy to access market data in particular. And that's stock prices, futures, options, stuff like that.

And then, on top of that, we also simplify the licensing process. So data licensing with various exchanges can be a very complicated process if you work in finance. So we try our best to automate that licensing process for you and make it easy. And then, in terms of really quick use cases, as well-- so I wanted to put kind of unusual use cases.

Most of our customers are in the financial industry, hedge funds, asset managers. But then we do also work with companies that are outside of traditional finance. So for example, US Oil, they're an oil and gas company. And their biggest problem is that it's hard for their teams to access data sets very quickly whenever they need data for research and analysis. And then another example is Microsoft. So they're building various AI products. You know AI is very popular these days. So they're building AI products. And they needed data to train their AI on.

And so for us, it made it easy to get the data through Databento. So we made it -- they can access the data in minutes. And the team can onboard really quickly. And yeah, just hopefully made it an easier experience for them. And then in terms of our current stage and size, we have about 1,700 registered users currently. We launched earlier this year. So we're really, I guess, pleased to go from 0 to almost 2,000.

This photo was taken last week at my company's offsite in Salt Lake City, Utah. So yeah, really excited to be growing the team as well. And yeah, in terms of the number one thing we're looking for, we would hope to be able to partner and do pilots with some companies here as well. So if you guys have any needs where you need market data, in particular, feel free to reach out or come to our booth afterwards. So yeah, thank you so much.