What does it take to actually coordinate these devices from utility scale batteries to consumer EVs and turn them into a coherent tradable energy resource?

We have just about five hundred thousand devices that we optimize throughout every day.

Of that, probably about two, three hundred of them are utility scale, the rest are consumer.

But when you divide that into capacity, four plus is utility scale assets and three plus is consumer devices.

With the consumer device is what we talked about just now.

How do I build- Tools that earn the trust from the consumer, and that's the utilities challenge of what's the tariff structure I can create to engage them with.

The challenge from our side is: How do I simplify really complex problems for traders? Traders don't wanna deal with 500,000 devices.

I asked Evrim how distributed resources, consumer devices, batteries, flexible loads are emerging as critical instruments for managing that risk and reshaping consumption patterns in real time.

What does it take to actually coordinate these devices from utility scale batteries to consumer EVs and turn them into a coherent tradable energy resource?

We have just about five hundred thousand devices that we optimize throughout every day.

Of that, probably about two, three hundred of them are utility scale, the rest are consumer.

But when you divide that into capacity, four-plus is utility scale assets and three-plus is consumer devices.

With the consumer device is what we talked about just now.

How do I build- Tools that earn the trust from the consumer, and that's the utilities challenge of what's the tariff structure I can create to engage them with? The challenge from our side is, how do I simplify really complex problems for traders? Traders don't wanna deal with five hundred thousand devices.

They want a volume that they know when they can trade it.

I asked Evrim how distributed resources, consumer devices, batteries, flexible loads are emerging as critical instruments for managing that risk and reshaping consumption patterns in real time.

But I'm curious how you think about it, because one of the things that you said is we want to impact a big green dent, billions of people with this

technology.

One of the biggest changes in the electricity system that needs to happen is the realization that that the future system cannot be designed centrally.

For the past 100 years of the electricity grids, all decisions were made centrally.

Where do we build generation? Where do we build transmission? Where can you add more load onto it? What kind of load you can add? The biggest change we're going through is the top-down approach is becoming bottom-up.

When you and I buy a battery, install a rooftop solar, buy an electric vehicle, we're having a direct impact on the grid.

And our impact, if you believe analyst estimates, is 200 million devices.

Whoa, that's very rare.

Talk about this actual software integration challenge and how it can hinder utility innovation.

The, the hodgepodge of technology solutions at utilities is not new, and that's been one of the problems that the utility sector is facing because it slows the move and innovation.

I'll give you a favorite quote, recent quote from one of the utility executives that we're working with.

He, he said quite openly in an open room, "My IT system prevent me from dreaming.

Uh, every time I have a new idea, it's a million bucks, it's a number of months, and by time it's realized, it's too late.

Market has moved on." That's a major challenge, and that's one of the challenges that at Kraken we help solve.

When customers implement a Kraken solution, we typically retire over a dozen systems and converge everything in a single one, which gives our client, the utility, a single view of all their data, from the consumer data, to their metering data, to the asset data.

So I guess the question is how are you actually using machine learning and, or AI in the platform and how does it give you the opportunity to layer on additional AI capabilities inside a utility?