Michael Dominick

Go ahead.

It's fine.

If you're let's say you're using like active record, I'll give you the easy example.

You can use the built in search functionality, but it's literally going to do a string comparison in Postgres or whatever your underlying database is.

For, you know, a burger would be B-U-R-G-E-R, and that's all it's going to do.

It doesn't understand.

Like, burger means bread, meat, maybe some lettuce, right?

And onions.

What vectorizing it and what Quadrant's doing, what Brian's trying to explain, I think very well, actually, is...

You assign a mathematical value to the concept of hamburger that and that value would also be nearer to the concept of, let's say, I don't know, steak sandwich, French dip, something like that.

Right.

Then in terms of quantifiable value, be closer to those than it would be to, let's say, sushi or, you know, martini.

Right.

Is that fair, Brian?

I know I'm, like, way boiling it down.

Mm-hmm.

That's perfect.

And it's like a visual example for folks, right?

And by the way, great name for your company, Quadrant.

You've got it perfectly.