Nick Heiner

How do you see who's the best at what type of tasks?

How do you apply quality checks to work at broader and broader scales?

Then I transitioned to lead several of our client engagements.

And that was during 2024.

And the big thing there was like, again, in 2023, a lot of these models were being produced by scrappy small bands of researchers at these labs.

And then 2024, all those orgs scaled up from 20 geniuses to an org of 1000 people.

And, you know, in much the same way, we had to scale up too.

And they sort of had new expectations of us, you know, high-level enterprise maturity, and then just being able to produce super high-quality data for, you know, 40 different research tracks at once instead of like a team of 20 that was focused on three.

Wow.

So that was a big part of my work in 2024 was sort of scaling my teams to do that.

And then 2025 focusing on our environments and a lot of the actual work, but a very strong through line with stuff that we had already been doing with labs.

Um, some of it was sort of ties and pieces together.

Um, some of it was just sort of a crystallization of a lot of other stuff we've been doing.

But then for me personally, it was more about sort of building the environments and less about like the managed service aspect.

Yeah.

That's a great question.

And let me also say in defense of VCs, when I listen to their podcast, I don't understand half the jargon.

So, you know, we have our own world.

Same, same, same.

Anyway, so to talk to describe our environments, let's just talk about all sort of the different training paradigms that have been heavily used recently.