What's the impact that you hope to make with Muse?

I think, um, allowing, um, allowing this industry, which we're, we're targeting, which is the, the food and beverage, you know, specifically food commerce, um, allowing automation, um, a- and AI to really successfully optimize and, and, uh, and take it to the level that, uh, that the usage wants to be, um, which is very limited in this industry with it being so fragmented when you're talking about where we're starting, which is quick-service restaurants.

And that's a franchise model, right? So when you're franchised, you're having 1,000, you know, anywhere up to 20,000 locations, um, which not only run on many different third-party systems from POS, ERP, um, staff scheduling, labor, reservations, um, compliance, uh, supply.

Not only do you have these many different systems, you know, uh, in, in one country alone, but when you're franchising, you know, we're operating in 40, 50 different countries, and all these different countries have all their own different systems as well.

And when they're all third party, they're not in-house, they're not centralized, it'll be very-- It's very difficult to optimize from AI or automation if you don't have all this data, data gathered in one place.

Um, so our first and foremost biggest mission is to, you know, be, have the largest aggregation of data in this industry ever, um, that, that is holding and finally unifying all these systems into one, uh, you know, self-learning brain for, for these large groups to optimize.

And then based on this aggregation that we now have, which is, you know, fully, um, fully complied and, and compiled into one sector, we can then use machine learning and agentic technology to optimize it, but not only in and only when we can aggregate it together.

What was a barrier that you broke through? Sounds like there's many, but what is one that really stands out, uh, of a moment that you broke through that you didn't think was possible?

First of all, what's the experience

like for you? Experience has been great.

You know, it's been an amazing week so far.

Enjoying every moment.

It's all a part of it, which has been great.

First laps in the night last night and getting up to speed more and more.

I think car is in a decent window.

A different circuit from other circuits around the world because it's partly a street circuit, but what's the sustained high speed like when you're in the P2 car?

How does Monaco as an entry compare for you?

Um, yeah, well, it's very late in the, in the year.

Um, but it's a very good option to, to do.

Um, yeah, you know, I take every opportunity to drive a race car.

And, uh, so Boston was a very good option.

Uh, last time I was there, I really enjoyed it.

Uh, and currently over the last few weeks, and, uh, I can keep going.

Most people would think, what's next?

Yeah.

Um, so, you know, in, in, in that realm, let's say.

And I was always in the mindset of doing one thing properly or two things averagely, right? Um, so I always wanted to, wanted to build and wanted to do many things.

But, uh, that was full focus.

Um, ended up getting the Formula 1 the end of 2024, um, for the final round at Abu Dhabi.

Um, signed for, for three years, which was, um, you know, obviously a huge, huge thing for, for me and, and from a kid from Australia.

And then, uh, yeah, six races into to that season, sort of sidelined for some, uh, circumstances, um, uh, outside of my control, let's say.

Mm-hmm.

Yeah.

But we, we run, um, many tests over the practice sessions, which give us indications on how the tire life, um, and how the tire is behaving, um, you know, how many laps it's going to last.

There's, you know, plenty of people back at the factory or certain locations which their only thing is to do is to focus on the tires and to run simulations on, you know, the distance and duration of the tires.

So we'll have around three to four meetings at the end of Saturday and before the race on Sunday solely on the strategy for the tires-

Yeah

... an Oakberry location, is individually a, an, a- an SMB.

Obviously on a large scale of all locations is, is quite large.

Um, but we're implementing, you know, cost-effective solutions into these, uh, these SMBs and these franchises, um, you know, as a inventory and stock management and, uh, and waste, uh, management.

Yeah.

But we, we run, um, many tests over the practice sessions which give us indications on how the tire life, um, and how the tire's behaving, um, you know, how many laps it's going to last.

There's, you know, plenty of people back at the factory or certain locations, which their only thing is to do is to focus on the tires and to run simulations on, you know, the distance and duration of the tires.

So we'll have around three to four meetings at the end of Saturday and before the race on Sunday solely on the strategy for the tires-

Yeah, okay

... an Oakberry location, is individually a, an, a- an SMB.

Obviously on a large scale of all locations is, is quite large.

Um, but we're implementing, you know, cost-effective solutions into these, uh, these SMBs and these franchises, um, you know, as a inventory and stock management and, uh, and waste, uh, management.