Grant Harvey

We're there to just deliver the outcome invisibly.

We're exploring them because, I mean, there are situations where they're very valuable because they basically allow you to create realistic data sets or create realistic evaluative scenarios.

Like you need that.

Like if someone's saying, I want to build a set of agents to do something in a certain SaaS platform, having an example of that SaaS platform you can mess around in is very, very necessary.

In the same way that if you're training someone to use a system, you give them a training environment.

We've always tried to do what we were good at, which was the complex work.

We very much focused on the cutting-edge stuff, bringing in multilingual, bringing in multimodal, bringing in STEM, all these dimensions of complexity.

Projectories work for agents, et cetera, because that's where we excel around complex data.

We weren't involved five years ago when it was much more simple.

We came in at the complex end because existing vendors weren't meeting the need and we met the need and we continue to meet the need.

So that's really our world.

No, I think 100%.

I think the need is growing, not shrinking.

We're not going to complete data.

We're not.

Yeah.

There's always more data.

I also, yeah.

And I'm also much more of like a super intelligence there than lots of other people because like this is just better predictive text.

It's better and better and better and better.