00:47:39 · Jonathan Siddarth
[00:47:39] S1: So this is a massive market that's growing super fast. And interesting thing is and there are a few companies in the space. There's companies like Surge, Mercor, Scale AI, of course, being the company that started in the space early. There's unlimited demand for really high quality data. If you look at the competitive landscape, I see three categories of companies. There is the pure play data labeling companies. There are recruiting talent marketplaces. We are none of them. We are a research first data accelerator. That sets us apart. Of course, we are really good at finding really smart people. And we built a platform that helps us generate data really efficiently. But what sets us apart is our research first posture. Old school data labeling is over. And the era of recruiting or a talent marketplace is also over. These labs need more than just data thrown over a wall. They need more than just higher 50 PhDs in physics, chemistry, math, biology. They don't need just that. What they need is a true partner that can understand their research objectives in improving their models for coding, for math, for STEM, for reasoning, for agentic workflows. And they need a partner that can help them figure out what type of data is likely to be helpful and do things before being asked. That sets Turing apart. I would say most of the other companies in this space fall into either being a data labeler or a people finder. And Turing is a research first accelerator. We are a research accelerator for the frontier labs.
00:49:33 · Molly O'Shea
[00:49:33] S2: Hey, it's Molly. If you enjoy our interviews, check out our newsletter, sourcery.vc, where we deliver a once a week top deals and tech headlines email and also go deeper on our podcast interviews. Subscribe to Sourcery today, and don't forget to subscribe to the podcast on YouTube, Spotify, Apple, or wherever you listen. Link in description to sign up.