And incorporating machine learning, AI is certainly a big part of that.

Yeah, it's interesting because we've seen some systems out there early on and still that, you know, there's some use cases because this, you know, in a way that the way that we've structured rocket power is that we are regionally focused where a lot of these revenue streams and the, you know, all of the, all of these different moving parts are things that we know well and can control for.

But, you know, there are some systems that where they're trying to just deploy them nationally to do solar and storage or, you know, they're just doing a certain narrower value stream.

And it has, you know, it's interesting because I think that will, I think over time that will rationalize and people will understand much better what, you know, what the real value is.

Because in a way you're putting all this, the system like a microgrid, it's sort of a combination of these these assets that you're putting on site, like the battery and the solar and the different things.

And then the controller is really how you kind of get that everything to work in order to achieve these economic outcomes.

As we often say, you can't just install a battery and walk away and have it come to any good.

And so how is this funded and were there any tax incentives involved?