Ely Greenfield

And number one reason is for the reason that we've been talking about is control is okay.

It doesn't, it's just not something that we can integrate into workflow as well.

And number two was, you know, the early models and the first injection of AI, there were all these questions about the legality of it, the ethics of it, the, you know, what does it mean?

Who owns the output?

You know, what happens and what it's trained on.

And so we looked at both of those and we said, okay,

There's a gap in the market here that's not filled, but there's so much value we could provide if we can solve those two problems.

We need to fill that gap.

So we started building models to do that.

At the end of the day, we don't sell models.

We sell tools.

We sell the ability to realize your ideas, the technology that helps you create the content.

And so that's always been our driving factor is, okay, what are the things that our customers are going to need?

How can we, what kind of new capabilities or workflows can we provide for them that meets their requirements?

If there's something in the market that's going to meet that, that's great.

We love to provide those and we want to give people the choice of using those.

And if there's not, I have an amazing team of some of the world's best scientists, AI experts, computer vision experts who can then provide

create that future that we want to have happen and so that's that's always been our philosophy and and you're just seeing um you're seeing the market develop to the point where and the technology developed to the point where great we can start to offer all those solutions so we will absolutely continue to build our own models because that gap in the market still exists

And as we imagine new ways that we can empower our customers and give them ways to create using technology, we will continue to find those gaps and fill them.

Our rocket scientists will continue to figure out how to create that technology.