WEBVTT - Raspberry Pi’s ‘Once in a Lifetime’ Chip Disruption

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<v Speaker 1>Bloomberg Audio Studios, Podcasts, radio News.

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<v Speaker 2>Hello in the City listeners, I'm Francis Lacua and I

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<v Speaker 2>wanted to give you a heads up. This week's show

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<v Speaker 2>is a little bit different. Firstly, this episode is hosted

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<v Speaker 2>by Stephen Carroll, our amazing colleaguen host of Bloomberg Radio's

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<v Speaker 2>Daybreak Euroup. And Secondly, the podcast episode was recorded in

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<v Speaker 2>front of an audience at an event held recently in

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<v Speaker 2>London called gross Summit.

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<v Speaker 3>Now.

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<v Speaker 2>Gros Summit brings together UK tech scale up entrepreneurs and

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<v Speaker 2>investors to share ideas and connect, and part of this

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<v Speaker 2>year's event included a conversation between Stephen and two outstanding

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<v Speaker 2>voices from the tech scene, Eben Upton, CEO of Raspberry

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<v Speaker 2>Pie and Cherry Cutu, serial entrepreneur and angel investor. They

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<v Speaker 2>discussed the success of Raspberry Pie, London as a place

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<v Speaker 2>to list and whether the UK is leading on AI literacy.

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<v Speaker 4>Enjoy Welcome to the City of London, the.

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<v Speaker 5>City of the City of London.

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<v Speaker 2>Please mind the gap.

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<v Speaker 4>Between the tree and the financial hearts of the country,

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<v Speaker 4>the city, the city.

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<v Speaker 3>Welcome to in the city.

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<v Speaker 2>Stand clear of the doors.

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<v Speaker 5>Pea Welcome to in the City a podcast from Bloomberg

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<v Speaker 5>where the story is important to the city of London.

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<v Speaker 5>I'm Stephen Carrol. We're here in front of a live

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<v Speaker 5>audience at the Grow some of It's Future Horizons of

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<v Speaker 5>in London. This is a gathering of founders, investors and

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<v Speaker 5>others focused on the next generation of technologies and how

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<v Speaker 5>they might change our lives. Today we're talking about a

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<v Speaker 5>UK success story in this sector. Raspberry Pie is the

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<v Speaker 5>world's largest single board computer company.

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<v Speaker 3>Cambridge.

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<v Speaker 5>Firm is also a bright star in the gloomy London

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<v Speaker 5>listing's landscape, having held its IPO in June last month,

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<v Speaker 5>the company reported more than sixty percent jump in revenues

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<v Speaker 5>in the first half of this year, and we have

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<v Speaker 5>two of its leading lights with us today. Evan Upton

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<v Speaker 5>is the founder and CEO of Raspberry Pie. Cherry Cootu,

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<v Speaker 5>a serial entrepreneur investor in her own right, founded Interactive Investor,

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<v Speaker 5>brought back to IPO as well and as a board

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<v Speaker 5>member of Raspberry Pie as well. Great to have you

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<v Speaker 5>both with us here at the Future Horizon's event. So Evan,

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<v Speaker 5>let's bring us back a little bit. First, you founded

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<v Speaker 5>raspberry Pie, or rather the company started in twenty twelve.

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<v Speaker 5>Did you ever think that twelve years later he'd be

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<v Speaker 5>where you are now?

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<v Speaker 6>Absolutely not, we had I think the interesting thing when

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<v Speaker 6>you look back on twenty twelve is how how small

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<v Speaker 6>the dreams were. Right, you know, we were a group

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<v Speaker 6>of us in Camege concerned about the dearth of young

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<v Speaker 6>people applying to study commuter science at the university. We

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<v Speaker 6>were down to a non actionable advice in two thousand

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<v Speaker 6>and eight. If you wanted to get your child in

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<v Speaker 6>to study any quantitative subject of the University of Cambridge,

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<v Speaker 6>the best way for them to do that was to

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<v Speaker 6>apply to computer science and then switch once they were there.

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<v Speaker 6>We were down to something like two applicants for every place,

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<v Speaker 6>which is just you know, a terrible ratio. And really

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<v Speaker 6>the dream for raspberry Pie is, well, suppose we could

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<v Speaker 6>get build a thousand raspberry pies, get them into the

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<v Speaker 6>hands of a thousand young people at the right put

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<v Speaker 6>in their lives, and then if one in ten of

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<v Speaker 6>them applies to Cambridge, then that's a fifty percent increase

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<v Speaker 6>in a number of applicants. So this is an organization

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<v Speaker 6>which is now we're closing in what is that? That's

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<v Speaker 6>four orders of magnitude, you know, between four and five

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<v Speaker 6>orders of magnitude large. We sold over sixty million Raspberry

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<v Speaker 6>pies and the twelve years they've been on sale. So yeah,

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<v Speaker 6>it's an organization which is operating in all sorts of

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<v Speaker 6>ways of the scale vastly beyond what we could have imagined.

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<v Speaker 5>A Sarry, tell us about how you got involved in

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<v Speaker 5>the Raspberry Paie, you've been on board since the early days.

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<v Speaker 1>Yes, well, amazingly there is a link to to this

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<v Speaker 1>summit in that we were having an exhibition of you know,

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<v Speaker 1>companies in Cambridge and one of the speakers that we

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<v Speaker 1>had over from Silicon Valley came to me and said,

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<v Speaker 1>I've just met a really interesting person over there doing

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<v Speaker 1>something you need to know about. He grabbed me and

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<v Speaker 1>he walked me over to you know, to Eban and

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<v Speaker 1>also at that point Jack Lang and you showed me,

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<v Speaker 1>well it was, and that's what piqued my interest. So

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<v Speaker 1>you know, you never know what happens at these summits

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<v Speaker 1>and these exhibitions, but that that was the memory, and

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<v Speaker 1>you know, I loved you know, again the network effects.

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<v Speaker 1>Someone's saying to me, you should be interested in that.

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<v Speaker 1>It's going to change the world and so far so and.

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<v Speaker 6>You've been a director of the Commercial Bit, the trading

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<v Speaker 6>entity since it was founded at the end of twenty

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<v Speaker 6>twelve and even and you did six years tour of

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<v Speaker 6>duty as a trustee of the foundation as well.

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<v Speaker 1>Yep, so yeah, joined immediately and then we kept on

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<v Speaker 1>giving you know, like a huge amount of money to

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<v Speaker 1>the foundation. It was like, I'd really like to join

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<v Speaker 1>them as a trustee and find out how they're spending

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<v Speaker 1>this money and just sort of make sure it's okay.

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<v Speaker 1>And did that and then timed out after six years

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<v Speaker 1>and then came back, you know, solely to the Training Foundation.

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<v Speaker 1>And then really that was the ride up to what

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<v Speaker 1>would be brilliant in you know, how can we grow

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<v Speaker 1>this bigger, faster, better and how big can we actually

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<v Speaker 1>get it?

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<v Speaker 5>And well, I mean that's where I suppose where we

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<v Speaker 5>go from here as part of the story. But I

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<v Speaker 5>do wonder. I mean, the world was arguably a very

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<v Speaker 5>different place than twenty twelve. You know, we were before Brexit,

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<v Speaker 5>we were, you know, before all of the changes we've

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<v Speaker 5>seen in the politics in the US. Arguably a more

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<v Speaker 5>stable world at that time as well. Do you think

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<v Speaker 5>that it's possible to have done what you've done with

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<v Speaker 5>Raspberry Pie in twenty twenty four.

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<v Speaker 6>I think the interesting thing is there aren't many places

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<v Speaker 6>in the world where you could I think you could

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<v Speaker 6>definitely still do it, but there were not many places

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<v Speaker 6>in the world where you could have done it. Then

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<v Speaker 6>obviously you could presumably have done it in Silicon Valley.

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<v Speaker 6>You could do it in Cambridge or in London. We

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<v Speaker 6>are very privileged here that we are located in one

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<v Speaker 6>of the world's pre eminent turk clusters, probably the pre

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<v Speaker 6>eminent tech cluster outside North America. I don't think things

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<v Speaker 6>have got harder. I think they've got different. But you know,

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<v Speaker 6>certainly we were glad that we did it. We're glad

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<v Speaker 6>we did it when we did it, because, of course

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<v Speaker 6>we found a This was one of these kind of

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<v Speaker 6>blue ocean stories. What did we discover when we launched

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<v Speaker 6>Rosberry Pie? That there was an enormous pool This happens sometimes,

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<v Speaker 6>that there is a pool of latent demand for a

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<v Speaker 6>particular object that doesn't exist. And then when you we

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<v Speaker 6>saw one hundred thousand Rosby Pies on our first day,

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<v Speaker 6>didn't we In the twenty ninth of February, the rather

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<v Speaker 6>quixotic twenty ninth of Febry Lunge. Dight we have terrible

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<v Speaker 6>birthday party. We have amazing birthday parties, we just don't

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<v Speaker 6>have them very I hope every year. We spent a

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<v Speaker 6>few thousand hounds on fireworks every four years, don't we?

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<v Speaker 6>And but you know, there was a huge pool of

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<v Speaker 6>latent demand just sitting there waiting for rasbary Pie, and

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<v Speaker 6>it crystallized when we dropped the first little crystal into

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<v Speaker 6>the solution. I'm not sure we could have relied on

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<v Speaker 6>that that pool of demand remaining unsatisfied if we'd waited

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<v Speaker 6>twelve years to try and satisfy.

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<v Speaker 5>And from a broader investment landscape as well, I mean,

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<v Speaker 5>is is the UK still as vibrant a place? Do

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<v Speaker 5>you still? Can you still attract and find and attract

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<v Speaker 5>attention of investors in twenty twenty four versus in twenty twelve.

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<v Speaker 1>I would argue it's easier because of you know, easier

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<v Speaker 1>now than before. I mean it used to be very

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<v Speaker 1>hard to get funding and the talent and also have

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<v Speaker 1>the capacity in the you know, the sort of the

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<v Speaker 1>leadership capacity as well. We've gone from you know, in

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<v Speaker 1>twenty twelve we were thirteenth in the globe in terms

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<v Speaker 1>of the number of scale ups per thousand, and we're

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<v Speaker 1>now three. And in AI and some other industries number

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<v Speaker 1>were number one. And I think we're focused on, you know,

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<v Speaker 1>not only starting companies, but the infrastructure for scaling companies

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<v Speaker 1>so that they can ten x and then ten x

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<v Speaker 1>again and then ten x again is there. And creating

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<v Speaker 1>you know, we were earlier, you know, creating decacorns and

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<v Speaker 1>centercorns rather than just focusing on unicorns.

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<v Speaker 3>It's absolutely possible.

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<v Speaker 5>Part of the conversation that we've been hearing a lot

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<v Speaker 5>particularly we're thinking about, and you huge experience in London's

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<v Speaker 5>capital markets as well, is the journey to scale and

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<v Speaker 5>how you get beyond a certain level. It feels like

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<v Speaker 5>a lot of people go to the US after a

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<v Speaker 5>certain level. Raspberry Priie hasn't. Why do you think that

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<v Speaker 5>it's that others are choosing the US over you know,

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<v Speaker 5>a London listing. I'll come back to the London listing

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<v Speaker 5>choice you made in a moment.

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<v Speaker 1>Well, well, I actually think London is a brilliant place

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<v Speaker 1>to to float a company, and you know, and I think, well, Evan,

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<v Speaker 1>we'll talk about the great reasons why we choose here

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<v Speaker 1>rather than elsewhere.

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<v Speaker 3>I have been involved in floats.

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<v Speaker 1>On the New York and the Nasdaq markets, and in

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<v Speaker 1>those cases that the talent was over there, the customers

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<v Speaker 1>were over there, and we felt the liquidity would be

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<v Speaker 1>there as as well. But that doesn't mean that it's

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<v Speaker 1>that it's not here. I think it really is company

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<v Speaker 1>specific on which is the right exchange to go.

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<v Speaker 5>To count attach companies. Is London is still a good

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<v Speaker 5>place to list absolutely? I mean, tell us about White

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<v Speaker 5>Trovy to lift in London, because I'm sure they were,

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<v Speaker 5>there was interest.

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<v Speaker 6>Yeah, So so I went out to I went. I

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<v Speaker 6>went out to New York about thirteen fourteen months ago,

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<v Speaker 6>and I've said I think I got on the plane

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<v Speaker 6>seventy to thirty in favor of listing in New York.

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<v Speaker 6>I think there is a slite geist around the idea

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<v Speaker 6>that there is some at least that there is a

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<v Speaker 6>squad of liquidity, probably not not super relevant for a

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<v Speaker 6>company on our scale, but that perhaps there is a

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<v Speaker 6>multiples advantage your company would be more highly valued. I

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<v Speaker 6>think what the London Stock Exchange people will tell you

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<v Speaker 6>is that that is a that's a kind of a

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<v Speaker 6>it's a data artifact that what you're really measuring there

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<v Speaker 6>is you're measuring that there are different sorts of companies

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<v Speaker 6>listed in New York and listed in London. Once you

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<v Speaker 6>stratify down and compare apples to apples, you find that

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<v Speaker 6>there's no real liquidity, no real multiples arbitrage. And of

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<v Speaker 6>course you wouldn't expect that. It's a weird idea that

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<v Speaker 6>there would be some long term, durable arbitrage in valuation

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<v Speaker 6>between companies in London and New York. Went out to

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<v Speaker 6>New York, really got the you know, feedback that from

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<v Speaker 6>investors there that there wasn't an arbitrage. Maybe, I mean,

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<v Speaker 6>you could perhaps persuade somebody to suggest US fund managers

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<v Speaker 6>maybe a little bit more tiggerish, you might get fourteen

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<v Speaker 6>x rather than thirteen X out of somebody, but you're

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<v Speaker 6>not talking about twenty x us as ten x. And

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<v Speaker 6>then said against that, there are a lot of disadvantages

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<v Speaker 6>for companies at our scale, so they sort of kind

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<v Speaker 6>of roughly billion dollar valuation companies. There's a noise flow

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<v Speaker 6>in New York, and there's a risk that you would

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<v Speaker 6>fall into this noise flaw. Struggle to get investor attention,

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<v Speaker 6>struggle to get analyst attention, and so got back on

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<v Speaker 6>that plane, sort of convinced that we could make it

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<v Speaker 6>work in London, convinced that we could attract American money.

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<v Speaker 6>You know, another piece of feedback we've got is, look,

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<v Speaker 6>you know, if you've got a if you've got an

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<v Speaker 6>equity story, if you're prepared to come out and educate

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<v Speaker 6>American investors about your equity story, that money will come

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<v Speaker 6>find you regardless of where you And when we came back,

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<v Speaker 6>picked bankers took a round at it. We had we

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<v Speaker 6>had a I guess, a conviction there would be a

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<v Speaker 6>window this year. There wasn't the window and open. You

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<v Speaker 6>know the challenge with the window It opens and closes,

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<v Speaker 6>and if you wait for it to be open, it's

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<v Speaker 6>going to take you six months to get to it.

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<v Speaker 6>So if you wait for it to be open, by

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<v Speaker 6>the time you try and jump through, it's going to

0:11:08.679 --> 0:11:10.680
<v Speaker 6>slam on your fingers. So we had a conviction there

0:11:10.679 --> 0:11:12.319
<v Speaker 6>would be a window in the second quarter of this year,

0:11:12.360 --> 0:11:15.000
<v Speaker 6>and started running and yeah, my fingers, even my toes

0:11:15.000 --> 0:11:16.640
<v Speaker 6>are intact. So you know, we did we did well.

0:11:17.440 --> 0:11:20.320
<v Speaker 5>I'm thinking about people in this room who might be

0:11:20.440 --> 0:11:22.480
<v Speaker 5>you know, hoping that they're they've got something in their

0:11:22.480 --> 0:11:24.760
<v Speaker 5>sights they want to be listing, and you know, let's

0:11:24.800 --> 0:11:27.000
<v Speaker 5>let's be optimistic and say in the next year, congratulations

0:11:27.120 --> 0:11:30.560
<v Speaker 5>you are what sort of obstacles would you want to

0:11:30.720 --> 0:11:32.640
<v Speaker 5>would you want to make that path easier for people

0:11:32.640 --> 0:11:33.280
<v Speaker 5>that come after you.

0:11:34.559 --> 0:11:36.320
<v Speaker 6>I think we had I think we had a good

0:11:36.360 --> 0:11:39.200
<v Speaker 6>run of it. I think we benefited from having we

0:11:39.320 --> 0:11:41.280
<v Speaker 6>benefited from having I think done the work on the

0:11:41.280 --> 0:11:45.120
<v Speaker 6>board composition. So we've done the work on on on

0:11:45.160 --> 0:11:48.000
<v Speaker 6>adding a few people to the board just to just

0:11:48.040 --> 0:11:50.920
<v Speaker 6>to get public markets ready already. We had some great advisors,

0:11:52.000 --> 0:11:56.120
<v Speaker 6>Peel Hunt and Jefferies, as are joint global coordinators link

0:11:56.160 --> 0:11:59.520
<v Speaker 6>Laters for legal you know. So so I think what

0:11:59.520 --> 0:12:01.560
<v Speaker 6>we've done is we took a run at it. To you,

0:12:01.559 --> 0:12:03.880
<v Speaker 6>I wouldn't recommend anyone do this, but we took a

0:12:03.960 --> 0:12:07.080
<v Speaker 6>run at it. Two years earlier. We'd expect notes in

0:12:07.080 --> 0:12:09.160
<v Speaker 6>this audience. Yeah, we hoped that this is this is

0:12:09.160 --> 0:12:11.160
<v Speaker 6>something really something not to do unless you absolutely have to.

0:12:11.880 --> 0:12:14.320
<v Speaker 6>We took a run at IPO started running at the

0:12:14.440 --> 0:12:16.240
<v Speaker 6>end of twenty twenty one with a conviction that we'd

0:12:16.240 --> 0:12:18.320
<v Speaker 6>be able to float in the second quarter of twenty

0:12:18.360 --> 0:12:20.640
<v Speaker 6>twenty two. Obviously one or two bad things happened. Bad

0:12:20.640 --> 0:12:24.160
<v Speaker 6>things happened, geopolitically, bad things happened to our company. We

0:12:24.160 --> 0:12:28.320
<v Speaker 6>were quite badly affected by the global semiconductory supply chain crisis.

0:12:28.800 --> 0:12:30.240
<v Speaker 6>So in that case, the window did close on the

0:12:30.240 --> 0:12:32.599
<v Speaker 6>window slammed on our fingers. What it did mean was

0:12:32.640 --> 0:12:34.640
<v Speaker 6>that a year ago, when we started the process, we

0:12:34.640 --> 0:12:37.760
<v Speaker 6>were going in with a very mature set of collateral,

0:12:37.760 --> 0:12:41.000
<v Speaker 6>so we were going with an almost complete prospectus. We

0:12:41.160 --> 0:12:43.880
<v Speaker 6>were going in having gone out and spoken to investors

0:12:43.880 --> 0:12:46.839
<v Speaker 6>in twenty twenty one, having made some claims about how

0:12:46.840 --> 0:12:49.040
<v Speaker 6>we were going to evolve our business over the next

0:12:49.040 --> 0:12:50.320
<v Speaker 6>couple of years. And then when we were going out

0:12:50.320 --> 0:12:52.520
<v Speaker 6>to investors a year ago, we weren't saying, Hi, where

0:12:52.559 --> 0:12:54.480
<v Speaker 6>Rasby Pie. You've never heard of us. We're saying hi,

0:12:54.520 --> 0:12:56.360
<v Speaker 6>where Rasby Pie. We were told you we would do

0:12:56.400 --> 0:12:59.400
<v Speaker 6>these three crazy things two years ago, and we've done

0:12:59.400 --> 0:13:01.200
<v Speaker 6>two and a half of them, and here are here

0:13:01.200 --> 0:13:03.000
<v Speaker 6>are two new crazy things. We had to finish that

0:13:03.040 --> 0:13:05.240
<v Speaker 6>half crazy thing, and here are two more crazy things.

0:13:05.280 --> 0:13:07.400
<v Speaker 6>So that made it easier. As I say, that's not

0:13:07.440 --> 0:13:09.160
<v Speaker 6>an optimal way to do things, but it did work

0:13:09.200 --> 0:13:09.520
<v Speaker 6>for us.

0:13:09.840 --> 0:13:13.280
<v Speaker 5>You mentioned some of the supply chain issues and thinking

0:13:13.280 --> 0:13:15.000
<v Speaker 5>about the events in the United States over the past

0:13:15.040 --> 0:13:17.880
<v Speaker 5>few days, Donald Trump has promised to be more protectionist president.

0:13:17.920 --> 0:13:21.880
<v Speaker 5>He's looking at trade tariffs. Are you concerned about supply

0:13:21.960 --> 0:13:25.440
<v Speaker 5>chain disruption semming from that? How are you preparing for

0:13:26.000 --> 0:13:27.520
<v Speaker 5>what the world might look like next year?

0:13:28.280 --> 0:13:30.480
<v Speaker 6>I don't know. I think we talk about this a lot,

0:13:30.520 --> 0:13:36.360
<v Speaker 6>don't we in board meetings? And I we had a

0:13:36.400 --> 0:13:39.160
<v Speaker 6>the system. The supply chain crisis was a was a

0:13:39.240 --> 0:13:42.199
<v Speaker 6>once in a lifetime, once in an industry dislocation. Right,

0:13:42.200 --> 0:13:44.319
<v Speaker 6>This is nothing like what happened in the last two

0:13:44.360 --> 0:13:46.679
<v Speaker 6>or three years has ever happened in history of solid

0:13:46.679 --> 0:13:50.240
<v Speaker 6>state electronics? Right? And what you saw was a negative

0:13:50.240 --> 0:13:52.760
<v Speaker 6>going transient. Things weren't available. Then you saw a positive

0:13:52.760 --> 0:13:55.679
<v Speaker 6>going transient an overstock result of that. And I think

0:13:55.720 --> 0:13:57.400
<v Speaker 6>that in a lot of people's minds, there's an assumption

0:13:57.480 --> 0:14:01.320
<v Speaker 6>that the supply gym will do this and then settle down,

0:14:01.360 --> 0:14:04.400
<v Speaker 6>and almost no differential equations give you that. Right. While

0:14:04.400 --> 0:14:09.880
<v Speaker 6>I suspect we're going to see irrespective of the political situations, Yeah,

0:14:10.080 --> 0:14:12.520
<v Speaker 6>what I suspect you you're going to see and this

0:14:12.559 --> 0:14:15.240
<v Speaker 6>is irrespective of any sort of political situation in the US.

0:14:15.280 --> 0:14:18.640
<v Speaker 6>It's you may well next year see sporadic shortages of

0:14:18.679 --> 0:14:21.960
<v Speaker 6>components resulting from I guess an over eager return to

0:14:22.080 --> 0:14:26.400
<v Speaker 6>justin time ordering behavior from customers downstream. What have we

0:14:26.400 --> 0:14:28.320
<v Speaker 6>done about this? Where we raise forty million dollars of

0:14:29.000 --> 0:14:31.440
<v Speaker 6>new money of primary at the IPO, invested a lot

0:14:31.440 --> 0:14:33.800
<v Speaker 6>of that in supply chain. So we've invested that in

0:14:33.960 --> 0:14:37.480
<v Speaker 6>component inventory, in finished goods inventory, just to give us

0:14:37.520 --> 0:14:40.360
<v Speaker 6>that resilience as we go into twenty twenty five to

0:14:40.440 --> 0:14:43.280
<v Speaker 6>withstand any any future shocks.

0:14:44.080 --> 0:14:46.520
<v Speaker 5>I want to think about some of the broader challenges

0:14:46.560 --> 0:14:49.080
<v Speaker 5>identified in the UK business environment as well. We had

0:14:49.080 --> 0:14:51.280
<v Speaker 5>a conversation at this event last year with Michaelane Fox.

0:14:51.280 --> 0:14:53.200
<v Speaker 5>The British Chambers of Commerce have said the number one

0:14:53.240 --> 0:14:56.320
<v Speaker 5>problem facing UK businesses that are growing is talent. You

0:14:56.400 --> 0:14:58.120
<v Speaker 5>can't get the people they want with the skills that

0:14:58.120 --> 0:14:59.960
<v Speaker 5>they want. Shar I know this is maybe you're very

0:15:00.080 --> 0:15:03.520
<v Speaker 5>invested in as well. I'm keen to understand how you

0:15:03.680 --> 0:15:06.520
<v Speaker 5>view the situation now from the point of view of

0:15:06.560 --> 0:15:10.560
<v Speaker 5>technology and also how you can have the right people

0:15:10.560 --> 0:15:11.360
<v Speaker 5>with the right skills.

0:15:12.600 --> 0:15:13.240
<v Speaker 3>Great thank you.

0:15:14.000 --> 0:15:16.800
<v Speaker 1>Well, just on on on talent, thinking about some of

0:15:16.840 --> 0:15:18.720
<v Speaker 1>the people that you know work at work at Pie.

0:15:18.720 --> 0:15:19.360
<v Speaker 3>Pretty amazing.

0:15:19.880 --> 0:15:22.040
<v Speaker 1>But you talked about the secondary, which is allowing you

0:15:22.080 --> 0:15:24.120
<v Speaker 1>to secure the chain to make sure that we don't

0:15:24.120 --> 0:15:28.320
<v Speaker 1>have backlogs of orders for customers. But you know, just

0:15:28.360 --> 0:15:31.760
<v Speaker 1>importantly that there was also a secondary for the owner

0:15:31.800 --> 0:15:34.760
<v Speaker 1>of Raspberry Pie, which netted them one hundred and eighty

0:15:34.840 --> 0:15:39.520
<v Speaker 1>million pounds to put into training talent and computing talent,

0:15:40.280 --> 0:15:43.320
<v Speaker 1>which is you know, a pretty a pretty good gift

0:15:43.880 --> 0:15:46.760
<v Speaker 1>for anyone to give to a charity and thinking about

0:15:46.800 --> 0:15:48.840
<v Speaker 1>how they're going to deploy it on AI and education.

0:15:49.280 --> 0:15:52.320
<v Speaker 1>And we were speaking earlier about Salcan and you know

0:15:52.400 --> 0:15:55.080
<v Speaker 1>his book and you know, creating Tutors. There is an

0:15:55.200 --> 0:15:59.440
<v Speaker 1>organization you know again the foundation behind behind Pie that

0:15:59.560 --> 0:16:04.240
<v Speaker 1>is been given a really great legacy to deploy and

0:16:04.280 --> 0:16:08.000
<v Speaker 1>I'm excited about that. I think that I'd be interested

0:16:08.000 --> 0:16:11.160
<v Speaker 1>to hear what others thought. I think, you know, mass

0:16:11.320 --> 0:16:14.280
<v Speaker 1>underlies a lot of what we need. But every day

0:16:14.480 --> 0:16:16.120
<v Speaker 1>you guys are solving problems. You think about what does

0:16:16.120 --> 0:16:18.240
<v Speaker 1>a CEO know? You're solving problems every single day you

0:16:18.320 --> 0:16:21.360
<v Speaker 1>use those skills which aren't necessarily taught in class, but

0:16:21.440 --> 0:16:25.120
<v Speaker 1>equipping the world so that we can run companies and

0:16:25.200 --> 0:16:29.600
<v Speaker 1>work for companies and organizations is super important. And I

0:16:29.640 --> 0:16:32.280
<v Speaker 1>think some of the things that raspberry Pi are doing great.

0:16:32.680 --> 0:16:35.600
<v Speaker 1>There are some you know, other other organizations you know

0:16:35.640 --> 0:16:36.360
<v Speaker 1>working away at that.

0:16:36.560 --> 0:16:38.720
<v Speaker 5>But I know that you want to canvass the audience opinion,

0:16:38.720 --> 0:16:39.920
<v Speaker 5>and I think we're a bit tight in time to

0:16:39.920 --> 0:16:41.000
<v Speaker 5>be able to do that. But I want to kind

0:16:41.000 --> 0:16:43.240
<v Speaker 5>of just briefly discuss how we should be thinking about

0:16:43.240 --> 0:16:45.000
<v Speaker 5>this education point of view. What are the kind of

0:16:45.080 --> 0:16:46.840
<v Speaker 5>key skills that we need to train the people that

0:16:46.880 --> 0:16:48.320
<v Speaker 5>everyone in this room is going to be hiring.

0:16:48.560 --> 0:16:51.040
<v Speaker 1>Yeah, we need to train the people that everyone's going

0:16:51.080 --> 0:16:53.960
<v Speaker 1>to hire. And we also need to enable teachers to

0:16:54.240 --> 0:16:57.200
<v Speaker 1>get the people that are you know, the you know,

0:16:57.240 --> 0:17:00.520
<v Speaker 1>people that are sort of working need and if you

0:17:00.520 --> 0:17:03.440
<v Speaker 1>think about the reskilling of five hundred thousand teachers, that

0:17:03.600 --> 0:17:08.080
<v Speaker 1>is not simple. And to enable our children to imagine

0:17:08.080 --> 0:17:09.840
<v Speaker 1>what we actually do every day, or what all of

0:17:09.840 --> 0:17:12.600
<v Speaker 1>the asach engineers do at raspberry Pie, or what you

0:17:12.680 --> 0:17:15.040
<v Speaker 1>might do if you wanted to study campsig a computer

0:17:15.160 --> 0:17:16.480
<v Speaker 1>you know at Cambridge University.

0:17:16.760 --> 0:17:18.040
<v Speaker 3>That's a real hard thing.

0:17:18.160 --> 0:17:20.840
<v Speaker 1>And you know, I would call everyone in the audience

0:17:21.080 --> 0:17:23.679
<v Speaker 1>to make sure that they volunteered their time. And if

0:17:23.680 --> 0:17:27.000
<v Speaker 1>you're running the organization, encourage your employees to volunteer their

0:17:27.040 --> 0:17:30.919
<v Speaker 1>time in schools to help the teachers, because otherwise, you know,

0:17:31.000 --> 0:17:34.199
<v Speaker 1>things are moving too rapidly for them to be able

0:17:34.400 --> 0:17:38.320
<v Speaker 1>to help. But it's already a talent crisis. But there

0:17:38.359 --> 0:17:40.439
<v Speaker 1>are things that every single person in this room and

0:17:40.480 --> 0:17:44.159
<v Speaker 1>every single person on your audience can and please should do.

0:17:45.000 --> 0:17:47.200
<v Speaker 5>And then a final thought from you as well about

0:17:47.200 --> 0:17:51.320
<v Speaker 5>what's next for Raspberry Pie. Everyone I speak to in

0:17:51.320 --> 0:17:53.240
<v Speaker 5>my day to day job, I talked to them about AI.

0:17:53.280 --> 0:17:55.240
<v Speaker 5>I was AI coming into Raspberry Pye story.

0:17:56.160 --> 0:17:59.639
<v Speaker 6>So from our perspective, Rospberry Pie is now that we

0:17:59.680 --> 0:18:02.440
<v Speaker 6>have all our roots and education. From a commercial perspective,

0:18:02.440 --> 0:18:04.760
<v Speaker 6>we are overwhelmingly now and the emb better than industrial business.

0:18:04.760 --> 0:18:07.120
<v Speaker 6>So we sell products to people who want to perform

0:18:07.160 --> 0:18:09.040
<v Speaker 6>computing at the edge of them, generally at the edge

0:18:09.040 --> 0:18:12.080
<v Speaker 6>of the network, and for us, AI workloads are just

0:18:12.119 --> 0:18:14.320
<v Speaker 6>another consumer of compute at the edge of the networks.

0:18:14.359 --> 0:18:17.720
<v Speaker 6>We design our we design our products to be able

0:18:17.760 --> 0:18:21.000
<v Speaker 6>to run many, many inference workloads, even quite heavyweight inference

0:18:21.040 --> 0:18:23.920
<v Speaker 6>workloads themselves unaccelerated. We put a lot of CPU performance

0:18:23.920 --> 0:18:26.560
<v Speaker 6>into our devices these days. I think what you're seeing

0:18:26.600 --> 0:18:28.400
<v Speaker 6>what you've seen from us this year, and I think

0:18:28.400 --> 0:18:30.119
<v Speaker 6>you'll see a little bit more of this as we

0:18:30.160 --> 0:18:33.359
<v Speaker 6>go into twenty twenty five. Is us working with partners,

0:18:33.400 --> 0:18:37.840
<v Speaker 6>particularly our friends at Halo in Israel, to add accelerator options,

0:18:37.880 --> 0:18:41.119
<v Speaker 6>to give people whose influence workloads are beyond the native

0:18:41.119 --> 0:18:43.800
<v Speaker 6>capability of the platform, to give those people a series

0:18:43.840 --> 0:18:47.560
<v Speaker 6>of tiered price performance options, to add external inference capability

0:18:47.560 --> 0:18:50.439
<v Speaker 6>into the platform. Very very popular with our hobbist customers

0:18:50.440 --> 0:18:52.920
<v Speaker 6>at the moment. Starting to see some really interesting industrial

0:18:52.960 --> 0:18:53.520
<v Speaker 6>uptake of that.

0:18:53.480 --> 0:18:56.040
<v Speaker 5>As well, and that could of move into the sort

0:18:56.080 --> 0:18:58.240
<v Speaker 5>of the enterprise and the industrial side of the business.

0:18:58.480 --> 0:19:01.119
<v Speaker 5>How much of that is a focus for for Asbury Pass.

0:19:00.920 --> 0:19:02.600
<v Speaker 6>And it's an enormous focus for us. As I say,

0:19:02.600 --> 0:19:05.040
<v Speaker 6>it's the vast majority of our business today. I think

0:19:05.080 --> 0:19:08.000
<v Speaker 6>what you're seeing, particularly with AI is what you see

0:19:08.040 --> 0:19:10.520
<v Speaker 6>with really many many of our products is an initial

0:19:10.560 --> 0:19:13.240
<v Speaker 6>adoption in the what we would call the enthusiastic community

0:19:13.440 --> 0:19:16.880
<v Speaker 6>hobbyists people are me geeks, and then many of those

0:19:16.880 --> 0:19:20.440
<v Speaker 6>people then take our products with them into their professional

0:19:20.520 --> 0:19:22.560
<v Speaker 6>lives and that's definitely some of us seeing with the AI.

0:19:22.800 --> 0:19:25.359
<v Speaker 5>Okay having Upton, founder and CEO of Asbury Pie and

0:19:25.440 --> 0:19:28.760
<v Speaker 5>Cherryku to investor, entrepreneur and a board member as well.

0:19:28.800 --> 0:19:30.800
<v Speaker 5>Thank you very much for joining us at the Grow

0:19:30.880 --> 0:19:34.800
<v Speaker 5>Summers Future Horizons event. Thank you all for your time

0:19:34.920 --> 0:19:37.119
<v Speaker 5>and your attention. Today you can download this episode of

0:19:37.160 --> 0:19:39.560
<v Speaker 5>In the City available wherever you get Your podcast will

0:19:39.600 --> 0:19:41.080
<v Speaker 5>be out next week. Thank you very much.