Daniel Evans

Because you only have so many resources on a machine.

So I think that is the hard part.

And they spent a good two years dealing with different elevations of cameras and different viewports and different angles, right?

So being able to accommodate all of that into machine vision algorithms is a lot of heavy lifting.

And I think that is done now.

And so now we're getting very nuanced into snaps and runs versus pass and things like that.

So we're getting into some really interesting stuff now.

We're raising three and a half million right now.

We have some strategics that are already in.

So we'll, you know, mostly now we're just kind of filling it around with interested parties, angels and stuff like that.

128.

128.

We haven't really seen much at this point.

I think we've lost two customers in the last two years that I've been with.

So we don't see it because once it becomes part of their program, it's really hard to remove.

It's a workflow tool, right?

So they get used to their distribution being automated.

Primarily, you know, like the SIDs on a college campus will be able to, you know, get their highlights out to their Twitter feeds and out to their social media.

Whereas before they'd have to call the truck and try to get a cut and

and that's painful.