[laughs]

Um, so we [laughs] pivoted pretty quickly down on, down into, like, the treasury niche within the banking space.

Uh, and the two core insights we had really was, um, every single business we spoke to had at least two banks, one being a neobank, the other being a traditional bank.

Um, and they made typically two sacrifices.

Uh, trust for usability, so they would sacrifice usability for the trust with a, an incumbent, and then they would sacrifice trust for usability with a, uh, a neobank.

And the second was they were sacrificing liquidity for yields.

So I mentioned we were in a period of very high interest rates, and still are, and they had to, in order for businesses to get those interest rates, they had to give up liquidity.

Yeah.

And it'll be interesting, maybe CFOs not hesitant, but maybe a little slower at, all right, what tools should we adopt? So tell us a little bit about your agentic approach.

Yeah, so our entire approach was essentially our entire thesis was that until stable coins are widely adopted across pretty much most businesses, which it's happening, but it's going to take a while, agents won't be able to autonomously move money.

So what we've done is built the infrastructure on traditional payment rails and infrastructure to enable agents to move that money.

So our approach was build the infrastructure and then build the agents on top of that.

But one of the approaches is Because LLMs are probabilistic.

If you ask an agent, hey, move money from A to B or pay these bills, it can and it does hallucinate.

So we've built essentially a neurosymbolic AI.

So would you say that's a decent amount of leads right now?