Q So Apoor, WeGrid is developing software that uses machine learning for EV integration, and Last year, for the first time, global EV investment overtook renewables investment. Um, what made you focus on this market in particular, given the momentum and EV adoption?
A We started the company about six years ago, five to six years ago. I'd say six because that's when I started tinkering with it, five when you actually count when the company started. Five years ago, when we came to places like Distributec and talked about EVs, it was like, oh, that's Cute. That's, that'll be fun, I think, when I can drive an electric car and it causes problems on my grid. I think the challenge is how do you bring together the device that is fundamentally the most personal to any consumer? Uh, I haven't named my thermostat. I actually have never named my solar panels, but my car has a name. All my cars have had names. It keeps a bunch of junk in there, and it's a very personal device. I think that when you actually look at the country, the fact that there are two hundred and eighty million cars More than double the number of households in the country. Starts to give you a sense that if each of those has anywhere between a 15 to an 80 kilowatt hour battery in them. Imagine the amount of just sheer flexibility that that aggregated resource can provide. Not just in balancing a lot of the bulk system integration challenges that we're going to have with a lot of the new renewable energy systems that are coming online. But really fundamentally, and what we think maybe too obsessively about, is how does this impact the delivery system, the TND network? And in the upend…
AI assessment note: “Imagine the amount of just sheer flexibility that that aggregated resource can provide.”