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Speaker 1: Welcome to the Mentor. I'm Mark Boris, Mark Woodlain. Welcome

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Speaker 1: to the Mentor. Thanks having me, You're most welcome. You're

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Speaker 1: the founder of Kismet. Yes, and I'll actually get you

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Speaker 1: to me what kismet does and what the word means.

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Speaker 1: Actually a little bit later, but I was reading in

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Speaker 1: the brief that you were a retired soldier, but you've

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Speaker 1: also done a lot of entrepreneurial stuff where you're a

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Speaker 1: soldier before he become an entrepreneur, or you're an entree

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Speaker 1: before he became a soldier. Soldier, first soldier first, So

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Speaker 1: give me the story about the Berna soldier.

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Speaker 2: So joined the Australian Army in two thousand and three.

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Speaker 2: Why so backtrack a little bit. My brother was killed

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Speaker 2: in car crash and he sort of struggled through his

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Speaker 2: schooling to find that place that he called home. And

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Speaker 2: he eventually got into the Defense Force and he was

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Speaker 2: a combat engineer. He finished his combat engineering training and

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Speaker 2: was posted to Brisbane and sort of that night when

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Speaker 2: he was driving in drunk not him but drunk driving

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Speaker 2: and he was killed. So I sort of joined the

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Speaker 2: army the finish what he started, just sort of I

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Speaker 2: would he found his passion, so I thought I'd continue

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Speaker 2: that passion for him. Sounds a bit silly when he

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Speaker 2: said out loud, but and so I joined the army

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Speaker 2: in two thousand and three. So what age, ah, good question,

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Speaker 2: Probably twenty one twenty one. Yeah, so my brother was eighteen,

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Speaker 2: So yeah, about twenty twenty one.

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Speaker 1: And you joined, like you joined the armicle, but you

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Speaker 1: joined it as to do a degree or something like that.

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Speaker 1: At the same time.

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Speaker 2: No, I started doing a Bachelor of Law and psychology

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Speaker 2: in the army, just never finished. Got quite involved with

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Speaker 2: the combat arm So I joined artillery. Eventually became what

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Speaker 2: they call the Ford observer and really enjoyed that. Then

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Speaker 2: I injured myself and went into the psychology or in

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Speaker 2: the army. So started helping soldiers that were returning from deployment.

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Speaker 2: Starts doing a lot of work in Aubrey Wodonga where

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Speaker 2: the trade schools are for army personnel, and spent a

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Speaker 2: lot of time doing that sort of The last sort

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Speaker 2: of four four and a half years of my military

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Speaker 2: career was in Aubrey Wodonga with recruits.

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Speaker 1: So when you say in the artillery division or whatever

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Speaker 1: the world is, what does that mean?

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Speaker 2: So different CAUs in the army, so everyone's got a

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Speaker 2: different job. And again this is a good many many

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Speaker 2: years ago still I think, set up the same way.

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Speaker 2: But you've got infantry, which the whole army supports infantry,

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Speaker 2: so all the jobs below that are there the support infantry,

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Speaker 2: and so artillery is one of those combat roles. So

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Speaker 2: there's sort of four combat cause infantry, artillery, armored so tanks,

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Speaker 2: and combat engineers and so they're the traditional combat roles

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Speaker 2: that go through the front line fighting in artillery, and

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Speaker 2: we were providing artillery fire. Ford observers would be able

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Speaker 2: to control different weapons systems the bit. If an infantry

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Speaker 2: member was out in the open and had a bunch

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Speaker 2: of tanks moving in on their position, they could call

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Speaker 2: an artillery fire and artillery fire would take that out,

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Speaker 2: and the Ford observers would call in those sort of

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Speaker 2: air strikes or artillery fire or naval gunships sort of

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Speaker 2: pick your weapon.

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Speaker 1: A Ford observer is like you actually physically forward.

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Speaker 2: Yeah. It's usually a team of three or four four

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Speaker 2: guys carrying lots of radios and equipment and they'll go

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Speaker 2: up on the biggest hill they can find and get

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Speaker 2: observations on enemies, get observations on our own teams, and

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Speaker 2: then support them. If a fire mission, which is how

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Speaker 2: they would call in a artillery strike, would come over

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Speaker 2: the radio, they would call it a fire mission, they

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Speaker 2: would choose what type of effect they would like to

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Speaker 2: hit the targets, and then the artillery guys, which might

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Speaker 2: be twenty odd k's behind, would start firing those rounds.

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Speaker 1: So you actually give like coordinates of where the target is.

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Speaker 1: Sewing in a technical sense or a skill sense, you're

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Speaker 1: sitting up on a mountain somewhere observing something rather and

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Speaker 1: you've got obviously got all the comms communication equipment there,

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Speaker 1: but you've also got measurement equipment or something that sort

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Speaker 1: of says that tank or whatever it is that's causing

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Speaker 1: our inventory a problem. Potentially they're at blah blah blah

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Speaker 1: east northwest it is, and you send that back yep.

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Speaker 1: Is it your initiative or is it the people on

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Speaker 1: the grounds initiative? Is it the infantry's initiative.

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Speaker 2: It's the infantry's initiative.

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Speaker 1: They said, we're getting slaughtered here.

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Speaker 2: And then help out and different You can set it

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Speaker 2: up many many different ways, like you can have targets

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Speaker 2: already plotted, so you know exactly so you can call

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Speaker 2: in fire mission very very quickly, or you're figuring out

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Speaker 2: where that target actually is on the ground, and then

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Speaker 2: the infantry are sending signals to you saying, hey, you

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Speaker 2: miss the target, and they'll give instructions. So they might

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Speaker 2: say drop twenty, which just means bring the rounds closer

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Speaker 2: in a.

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Speaker 1: Little bit to the left.

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Speaker 2: Yeah, that's it pretty much, pretty much. Have a little

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Speaker 2: bit more sophisticated, but there, that's it. Hey you dropped

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Speaker 2: it way too short. Yeah yeah, yeah, that's cool.

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Speaker 1: So you must be looking at what's going on in

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Speaker 1: Gaza at the moment, or and or Lebanon where the

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Speaker 1: ships are all sort of American ships that were parked

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Speaker 1: out there, and the Mediterranean and sort of you know,

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Speaker 1: keeping an eye on things. You must be watching that

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Speaker 1: stuff with a great deal of interest. Yeah.

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Speaker 2: Well, my youngest brother's literally about to join, so he

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Speaker 2: joins in about three weeks in October, So yeah, watching

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Speaker 2: it far more of interest because selfishly, you know, you've

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Speaker 2: got lots of men and women that may need to

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Speaker 2: go in and fight, and I think you know that's

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Speaker 2: what military people train for, is war and fighting and

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Speaker 2: that's their job, but you don't wish it upon anyone,

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Speaker 2: given you've.

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Speaker 1: Already lost it one brother.

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Speaker 2: Yeah, and there's still lots of mates and friends, and

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Speaker 2: a lot of those mates now have retired because they've

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Speaker 2: done a long time in the military. But you know,

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Speaker 2: there's lots of stories, lots of mates still in that.

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Speaker 2: You know they're very capable, but it's still not something

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Speaker 2: that you'd like to see.

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Speaker 1: What does military equip you for in terms of, say,

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Speaker 1: in your case, an entrepreneurial journey, I mean, what do

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Speaker 1: you get from it? Yeah?

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Speaker 2: I get asked this question a lot, and my mind

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Speaker 2: immediately goes back to there's this place in Queensland called

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Speaker 2: Tully and it's where the Jungle Warfare Training Center is,

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Speaker 2: and it's a rainforest and it's there's these vines that

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Speaker 2: that's nicknamed wait a While because if you get caught

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Speaker 2: up in them with all your gear on, you just

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Speaker 2: have to wait a while until someone comes and gets

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Speaker 2: you out of the vince. You just can't move anyway.

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Speaker 2: There's this training camp and I've got vivid memories of

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Speaker 2: myself on my guts, crawling through the mud and one

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Speaker 2: of the sergeants walking next to me saying keep up

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Speaker 2: with me as he sets the paces. He's walking and

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Speaker 2: you're crawling. I mean to answer the question, there was

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Speaker 2: no point in my mind where I thought I could

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Speaker 2: just get up and go home. It was just okay,

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Speaker 2: I'll just keep crawling and I'll crawl faster, and that's

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Speaker 2: what it is. I think that discipline and realizing that

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Speaker 2: maybe you just can't give up and just to keep

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Speaker 2: pushing is probably the biggest thing I learned. Not that

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Speaker 2: you're thinking that when you're crawling through the mud and thinking, oh,

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Speaker 2: this is going to help me in twenty years time,

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Speaker 2: this is amazing, but it's being able to just have

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Speaker 2: that mindset that, yeah, this is hard, but you know

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Speaker 2: tomorrow is going to come and those problems will start

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Speaker 2: getting solved, and it's just that continue just pushing. And

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Speaker 2: there's just been so many stories of the next day

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Speaker 2: does come and not to give up. So I think

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Speaker 2: I'm just dumber than most most smart people would quit,

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Speaker 2: which would be the right theory, be the right decision

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Speaker 2: on paper. I'm just not that smart.

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Speaker 1: Well I'm not sure, but that when I look at

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Speaker 1: your buyer, but how smart, I think they might be

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Speaker 1: pretty smart. But because I find it quite interesting. Like

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Speaker 1: I never I never, I've never experienced military service, either

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Speaker 1: training or service, and so I my only reference point

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Speaker 1: is what I've seen in the television, you know, And

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Speaker 1: you know, you might watch one of these shows about

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Speaker 1: the commando's training or whatever it is, and you do

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Speaker 1: see the sergeant or whatever you call them, sergeant major

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Speaker 1: sort of walking along and yelling and screaming at everybody.

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Speaker 1: Is that real? Is that? Is that like the real deal?

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Speaker 1: I mean? Are they sort of so unapproachable that you

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Speaker 1: actually grow a hatred for the individual? Like particularly as

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Speaker 1: a viewer?

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Speaker 2: I mean, so it's interesting. So you go to Kopuka,

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Speaker 2: which is basic training, it's the basic of the basic.

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Speaker 1: They're pre Vietnam.

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Speaker 2: Yeah yeah, and there is Look, there's lots of yelling.

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Speaker 2: Look in fairness, haven't been a coapucker for twenty years,

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Speaker 2: but you know that there's lots of yelling. There's lots

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Speaker 2: of bringing everyone to the same level. Now you can

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Speaker 2: call that breaking down, building up, whatever you want to

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Speaker 2: call it, but everyone needs to be at a standard.

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Speaker 1: And what does that mean? Then? How do you mean,

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Speaker 1: like what could someone be excelling out that you try

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Speaker 1: to bring is about bringing someone's excelling back to the

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Speaker 1: level of everybody else, or.

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Speaker 2: I would argue it's just different cultures coming together that

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Speaker 2: have to work as a team. So different life experiences.

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Speaker 2: You know, some people have come from well off families

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Speaker 2: and joining the military. Some people are coming from absolutely nothing.

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Speaker 2: Just all sorts of different mindsets, different opinions on the

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Speaker 2: world and look in fairness, all sort of eighteen to

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Speaker 2: twenty year old young young for a lot of people,

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Speaker 2: first time away from their family, and you're thrown into

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Speaker 2: this environment where you've got again corporals or the equivalent

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Speaker 2: of corporals in charge, and they do an amazing job.

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Speaker 2: But also they're quite young in the scheme of things

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Speaker 2: in their career. And then so they're in charge of

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Speaker 2: these recruits and you know they might have done eight

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Speaker 2: ten years now, that might sound like a long time,

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Speaker 2: but when you're in charge of you know, thirty new

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Speaker 2: recruits and helping them train and very well run, but

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Speaker 2: bringing people to a base and building that trust then

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Speaker 2: and helping people understand that we're all in it. Like

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Speaker 2: you're struggling, but so is the mate next to you.

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Speaker 2: So and they're struggling with something else. So they'll help

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Speaker 2: each other out and try to figure out how you

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Speaker 2: both can get through. And so Kapuka's lots of you know,

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Speaker 2: get dressed faster. You didn't get dressed fast enough, so

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Speaker 2: I go back into your bread, pretend you're asleep, and

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Speaker 2: now do it again. There's a lot of that, just

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Speaker 2: annoying stuff that happens, and that's a good mental resilience

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Speaker 2: because do you answer back, Do you get angry when

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Speaker 2: that type of stuff is coming or happening? Are you

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Speaker 2: getting frustrated? Because if you're getting frustrated with that, you're

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Speaker 2: probably going to get very, very frustrated once you get

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Speaker 2: into a unit and you know, you might have to

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Speaker 2: sit out in the field for eight hours watching a

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Speaker 2: target and nothing's happening. So there's all method to the madness.

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Speaker 2: But I would argue once you get out of Copooka,

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Speaker 2: and once you get out of your next training, which

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Speaker 2: is you're on the job training so specific to what

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Speaker 2: you've enlisted for, once you get to a unit, it

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Speaker 2: is completely different. Your sergeants are your mates. They're working

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Speaker 2: with you, they're out in the field with you. You've

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Speaker 2: got offices hanging out with you into when you're out

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Speaker 2: in the field. There's a lot of respect there, and

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Speaker 2: there's rank and there's structure, but you are mates doing

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Speaker 2: a job and if you're not an idiot, you'll do

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Speaker 2: pretty well.

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Speaker 1: And the psychology piece that you're referring to after your

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Speaker 1: forward position, Yeah, what was that about, like when you're

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Speaker 1: looking at especially when you said you were down there

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Speaker 1: with the trades.

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Speaker 2: Yeah, so that they used to they've just phased this

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Speaker 2: job out or phasing it out over the next few years.

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Speaker 2: It was called psychological examiner, and so our job was

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Speaker 2: to do all sorts of different things. But if you

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Speaker 2: wanted to change jobs in the army, you would do

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Speaker 2: a psychological assessment. Some people would come and see us

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Speaker 2: for drag and alcohol support, you know, there's suicide support.

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Speaker 2: There's all sorts of different things that we did on

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Speaker 2: an army barracks. And then there were different things that

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Speaker 2: we did when we were deployed, so helping soldiers return

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Speaker 2: from home, doing assessments for the psychologists, all that type

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Speaker 2: of stuff. And so the job was really really interesting

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Speaker 2: and provided a lot of support. So when I was

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Speaker 2: posted to Aubrey Wodonga, it was myself and my boss,

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Speaker 2: who was a captain and that was the team two

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Speaker 2: of us, and so my job was to do things

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Speaker 2: like the new recruits. So they would have left Kapuka

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Speaker 2: and they've gone to Wodonga. In this case, they do

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Speaker 2: their trade training all sorts of different trades. We had

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Speaker 2: the admin team there and so they were learning how

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Speaker 2: to do admin in the army. So you'd have all

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Speaker 2: these young recruits come into on the job and so

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Speaker 2: this is the first time they're getting paid a bit more,

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Speaker 2: they've got a bit more freedom, so there's different challenges

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Speaker 2: that come with that. They're allowed to do things on

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Speaker 2: the weekend, they're not locked on base, so it's this

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Speaker 2: more of this responsibility being slowly added into their life.

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Speaker 2: So when they get to a unit, they're ready to go.

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Speaker 2: So you would deal with a lot of that. Soldiers

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Speaker 2: would go out to different bars and on the weekends,

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Speaker 2: and you're always dealing with the weekends getting called up

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Speaker 2: saying this person is now locked up in the cell. Yeah,

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Speaker 2: so there's interesting times. But then we would do suicide

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Speaker 2: awareness training, we'd do drug training, just make sure soldiers

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Speaker 2: knew how to respond when they're in those circumstances. So

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Speaker 2: lots of preemptive work and proactive work, which I really like.

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Speaker 1: Would you be looking at things that are preemptive And

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Speaker 1: I'll get it later. We're going to move on to

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Speaker 1: the other stuff, but I'm actually intrigued by this. Would

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Speaker 1: you do preemptive PTSD stuff?

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Speaker 2: I didn't because we're in a training school, but a

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Speaker 2: lot of psych examiners as psychologists would do the return

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Speaker 2: to Australia screening and they'd do the post operational psych screening.

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Speaker 2: So three months after you're back, they would check in

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Speaker 2: with soldiers and make sure they're integrating back into society,

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Speaker 2: back into their families, because some soldiers have been away

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Speaker 2: for six eight months in quite nasty circumstances and some

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Speaker 2: really tough stories, so it's helping them integrate back into

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Speaker 2: military life but back in Australia.

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Speaker 1: So you lift the military and you set up at

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Speaker 1: your first business. Yeah, well probably the first one of note,

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Speaker 1: and I didn't know the business. But nonetheless that doesn't

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Speaker 1: mean anything because I just wasn't aware of what it was.

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Speaker 1: Why did you set up your very first business and

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Speaker 1: what did you borrow from your experiences in the military.

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Speaker 1: Do you think that allowed you to identify a problem

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Speaker 1: and come up with a solution because it was a

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Speaker 1: problem that you solved. As I understand what you did,

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Speaker 1: So what maybe tell me about the problem that you

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Speaker 1: try to solve and why were you aware of the problem.

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Speaker 2: Yeah, so my mum still is a teacher, but she

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Speaker 2: was a school teacher at that stage and she was retiring,

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Speaker 2: and so she bought a childcare center in this about

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Speaker 2: twenty ten. From a technology world, this is when the

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Speaker 2: iPad first came out, so that's sort of the world

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Speaker 2: we're in. And she was complaining to me and telling

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Speaker 2: me her struggles each afternoon because she wanted to each

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Speaker 2: but all this time she had had was being spent

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Speaker 2: on chasing enrollments, building that business admin, paying rent, doing

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Speaker 2: all that. And so I left the Army the help.

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Speaker 2: I figured the worst case, I would just sit at

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Speaker 2: the front desk and help. But when I went into

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Speaker 2: this childcare center, you could see just paper everywhere, credit

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Speaker 2: cards written down on pieces of paper. It was just

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Speaker 2: it was a mess. So I started looking saying, surely

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Speaker 2: iPads here, surely you can have some tech that does this,

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Speaker 2: but it didn't exist. So made the grand statement of

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Speaker 2: well how hard could it be? The build software, which

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Speaker 2: I regret to this day. And then approached a developer

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Speaker 2: and he quoted me five thousand dollars, which I didn't

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Speaker 2: have five dollars to my name, So five thousand sounds

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Speaker 2: like an amazing deal today, but it might well have

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Speaker 2: been five million. Just no chance of getting that type

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Speaker 2: of money. So taught myself how the write and code

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Speaker 2: and built what the first iteration of Explore was, which

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Speaker 2: allowed parents to walk through the front door of a

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Speaker 2: childcare center and automatically signed their children in before they

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Speaker 2: were doing it on a piece of paper, they'd write

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Speaker 2: the name, they'd write the time, and then I would

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Speaker 2: take that piece of paper and manually enter it into

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Speaker 2: a database. And it was very, very time consuming, and

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Speaker 2: it was just mad that that was my whole job.

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Speaker 2: So tech solve that. And what that allowed me to

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Speaker 2: do is get out of the office and start talking

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Speaker 2: to educators and seeing what this education thing was all about.

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Speaker 2: And so educators would have post it notes all over

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Speaker 2: the room, and I'd ask them what they're doing, and

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Speaker 2: they're forever writing on clipboards and they said they were

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Speaker 2: documenting a child's learning. And so I just said, well,

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Speaker 2: when do you actually teach? When do you engage when

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Speaker 2: you play with the child, and they said, oh when

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Speaker 2: we finished all this work, and I just thought that

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Speaker 2: was mad. So wrote the platform that allowed education is

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Speaker 2: the documented all on an iPad, which sped the time

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Speaker 2: up so they could spend more time with kids. And

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Speaker 2: then the parents would call me each afternoon and say

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Speaker 2: that has little Johnny slept? Has he eaten? Has his

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Speaker 2: nappy been changed? And I'm ex military, so my response

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Speaker 2: was hardened up, go back to work, It's fine. But

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Speaker 2: it was very obvious then the parents just wanted to connect.

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Speaker 2: Like you can drop your dog off a puppy daycare

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Speaker 2: and see everything happening. You can't see that about your child.

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Speaker 2: You've got no idea what happened during the day. You

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Speaker 2: can't interact with them when they get home. So we

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Speaker 2: did build that for the parents, and all of a

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Speaker 2: sudden started working. So we bought another childcare center. Then

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Speaker 2: we built a two hundred placed childcare center and killed

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Speaker 2: a road in Melbourne, and I thought I was just

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Speaker 2: going to keep building childcare centers, but then I was

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Speaker 2: approached by Daniel Petrie from air Tree said he wanted

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Speaker 2: to invest in Explore. I told him to go away

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Speaker 2: because I didn't know what a VC was. I thought

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Speaker 2: the Victoria Cross recipients, and I don't know any of those,

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Speaker 2: so I didn't realize venture capital was VC as well.

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Speaker 2: And long story short, I said, look, if you're serious,

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Speaker 2: come out tomorrow, which was Christmas Eve, and he came

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Speaker 2: out and stopped cooking dinner for his family to see me,

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Speaker 2: and sort of the rest became history after that.

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Speaker 1: So Entry was your first first VC into. Yeah, they

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Speaker 1: became in this investor, they bought the whole thing.

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Speaker 2: Came in as an investor. So they invested six mil

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Speaker 2: in twenty sixteen. Casting my mind back, so June twenty

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Speaker 2: sixteen they invested six mil and we started growing what was.

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Speaker 1: Explore And so they sort of gave you the funding,

359
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Speaker 1: what they gave you the capital to build Explore Yeah,

360
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Speaker 1: into a far grander, far bigger peace Yeah. Yeah yeah,

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Speaker 1: And so how did it Explore go? So, like in

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Speaker 1: terms of like places of.

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Speaker 2: Use, we're Explore now has a large I'm not allowed

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Speaker 2: to say pestcentages, but has a large majority of the market.

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Speaker 2: So pretty much any childcare center or kindergarten that you

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Speaker 2: walk into in this country will use Explore. And that's

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Speaker 2: really cool because now every parent digitally signs in and

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Speaker 2: they think that's normal, whereas you know, ten years ago

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Speaker 2: that didn't exist. And so we've started to see a

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Speaker 2: shift in a sector that just and look, the argument

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Speaker 2: is it might have got there anyway, but it was

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Speaker 2: nice to give it a push and now it's pretty standard.

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Speaker 2: So they helped us grow. It was very, very difficult

374
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Speaker 2: first sort of startup thing ever, lots of hard lessons,

375
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Speaker 2: lots and lots of mistakes, and then we're acquired in

376
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Speaker 2: twenty twenty five private equity, So very short journey, about

377
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Speaker 2: three three Did.

378
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Speaker 1: You just stay on? It was a requirement few to

379
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Speaker 1: stay on.

380
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Speaker 2: Yeah, so I stayed on for about three years. With

381
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Speaker 2: the private equity. Guys did lots of M and A

382
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Speaker 2: traditional M and A.

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Speaker 1: So she brought up a few bits and pieces, Yeah,

384
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Speaker 1: quite a few.

385
00:21:00,840 --> 00:21:04,159
Speaker 2: We integrated payments into the system, added new technology so

386
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Speaker 2: payments was not in the system, so we added payments

387
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Speaker 2: every time you make your child care fees. It was

388
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Speaker 2: quite quite an interesting concept and lucky we did it

389
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Speaker 2: because COVID struck in twenty twenty and the government made

390
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Speaker 2: child care fees free, which wiped out fifty percent of

391
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Speaker 2: our revenue with one penstroke, which was great for families

392
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Speaker 2: and all the rest of it, but for business. But

393
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Speaker 2: because of payments, we had that second revenue stream that

394
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Speaker 2: allowed us to survive. So really solid. Lesson there.

395
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Speaker 1: So I'm going to go the break. But you left, explore, yes,

396
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Speaker 1: and what happened then? So you know, obviously you got

397
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Speaker 1: paid out, you made some money, you did well out

398
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Speaker 1: of it, as I understand you quite well out of it.

399
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Speaker 1: You hung around for a little while, but then you left.

400
00:21:56,400 --> 00:21:56,840
Speaker 1: What did you do?

401
00:21:57,640 --> 00:21:58,160
Speaker 2: Retired?

402
00:21:59,080 --> 00:21:59,480
Speaker 1: How good?

403
00:22:00,400 --> 00:22:05,959
Speaker 2: I retired for two weeks. I bought twenty acres. I

404
00:22:06,000 --> 00:22:11,960
Speaker 2: bought a tractor and I started plowing twenty acres, thinking

405
00:22:12,200 --> 00:22:14,640
Speaker 2: I'm going to be a farmer. And then I got

406
00:22:14,640 --> 00:22:17,560
Speaker 2: a phone call from my mother in law and she

407
00:22:18,119 --> 00:22:22,080
Speaker 2: needed help with her mother trying to navigate the age

408
00:22:22,119 --> 00:22:25,040
Speaker 2: care or in home care packages and the mess that

409
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Speaker 2: existed there.

410
00:22:27,640 --> 00:22:29,240
Speaker 1: What is age care in the home packages? What do

411
00:22:29,320 --> 00:22:31,600
Speaker 1: you mean by that? So explain what it means.

412
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Speaker 2: Yeah, so in home care packages is very similar to

413
00:22:35,560 --> 00:22:37,840
Speaker 2: health insurance. So you get X amount of funding to

414
00:22:37,880 --> 00:22:41,639
Speaker 2: spend on X services. I could be gardening, it could

415
00:22:41,640 --> 00:22:45,880
Speaker 2: be physio, it could be occupational therapy and that's provided

416
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Speaker 2: to you from the government.

417
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Speaker 1: If you're an older person, Yeah, if you're above sort

418
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Speaker 1: of sixty five. Ye.

419
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Speaker 2: The challenge with it, it's very complicated and you have

420
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Speaker 2: to apply for it too. You have to apply for it.

421
00:22:56,359 --> 00:22:58,680
Speaker 2: You don't know then how the spend it. You sort

422
00:22:58,720 --> 00:23:01,040
Speaker 2: of get a PDF saying this is what you're entitled

423
00:23:01,080 --> 00:23:05,320
Speaker 2: to and now what And again you're talking about elderly

424
00:23:05,359 --> 00:23:07,640
Speaker 2: people trying to interpret this from the government. They can't

425
00:23:07,640 --> 00:23:10,440
Speaker 2: get on the phone because it's an hour's long wait

426
00:23:10,600 --> 00:23:12,560
Speaker 2: on hold, and then you just get hung up on

427
00:23:13,080 --> 00:23:14,399
Speaker 2: and it's quite stressful.

428
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Speaker 1: We try to do it for my dad and then

429
00:23:15,600 --> 00:23:19,000
Speaker 1: we gave up. We sus do That's the result.

430
00:23:19,880 --> 00:23:22,119
Speaker 2: And so what usually happens is it falls to the

431
00:23:22,160 --> 00:23:26,040
Speaker 2: eldest daughter, and the eldest daughter then has to manage

432
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Speaker 2: mum and dad's aging and manage the siblings that they

433
00:23:29,880 --> 00:23:32,640
Speaker 2: may have the say help out, Mom needs this, Mum

434
00:23:32,760 --> 00:23:38,160
Speaker 2: needs that, And what happens is that relationship starts fracturing totally,

435
00:23:38,920 --> 00:23:43,840
Speaker 2: and by the time the parent passes, there's a sense

436
00:23:43,840 --> 00:23:47,199
Speaker 2: of relief, and then from that relief there's guilt and

437
00:23:47,240 --> 00:23:50,199
Speaker 2: then you feel like a terrible human and then the

438
00:23:50,359 --> 00:23:53,399
Speaker 2: eldest daughter in this example has to live with that.

439
00:23:53,760 --> 00:23:56,920
Speaker 2: And it's all because of ADMIN. And so we solve

440
00:23:57,000 --> 00:24:01,600
Speaker 2: admin remove all of those pieces that you can't understand,

441
00:24:01,640 --> 00:24:04,199
Speaker 2: and technology can do it quite well. And all you

442
00:24:04,320 --> 00:24:06,439
Speaker 2: have to do is spend time with mom or dad

443
00:24:06,880 --> 00:24:10,120
Speaker 2: or your child that might have a disability, instead of

444
00:24:10,920 --> 00:24:13,560
Speaker 2: being the person that calls and searches Google to make

445
00:24:13,560 --> 00:24:16,960
Speaker 2: an appointment and sits on the phone on hold for hours,

446
00:24:17,000 --> 00:24:20,640
Speaker 2: dealing with canceled appointments, yelling at your siblings because they're

447
00:24:20,640 --> 00:24:24,159
Speaker 2: not doing as much as you're doing. It's really nasty

448
00:24:24,200 --> 00:24:27,679
Speaker 2: the watch. And with a population that's aging and a

449
00:24:27,720 --> 00:24:31,000
Speaker 2: birth rate that's declining, in the next ten years, this

450
00:24:31,040 --> 00:24:32,520
Speaker 2: will be incredibly normal.

451
00:24:32,720 --> 00:24:35,000
Speaker 1: How long do you stay on your farm plowing?

452
00:24:35,720 --> 00:24:38,919
Speaker 2: I still live on it, yeah, so I do that

453
00:24:39,000 --> 00:24:41,160
Speaker 2: on the weekends now and I've got to go home

454
00:24:41,240 --> 00:24:43,680
Speaker 2: and changeaw trees because we've had a lot of wind

455
00:24:43,720 --> 00:24:48,159
Speaker 2: in Melbourne, so we still have it. We've built a

456
00:24:48,160 --> 00:24:50,160
Speaker 2: house for my mum, We've built a house my brother,

457
00:24:50,280 --> 00:24:53,320
Speaker 2: so we all live on this property and the kids

458
00:24:53,359 --> 00:24:55,639
Speaker 2: love it. They get to see their grand grandmother and

459
00:24:55,800 --> 00:25:00,439
Speaker 2: uncle and as my mum ages. At least she's close

460
00:25:00,520 --> 00:25:04,160
Speaker 2: and we can help. But yeah, I haven't retired yet.

461
00:25:04,200 --> 00:25:06,600
Speaker 1: I haven't. But how long did you stay actually out

462
00:25:06,600 --> 00:25:06,960
Speaker 1: of work?

463
00:25:07,480 --> 00:25:08,000
Speaker 2: Two weeks?

464
00:25:08,520 --> 00:25:09,920
Speaker 1: I do, it's only two weeks.

465
00:25:10,000 --> 00:25:12,680
Speaker 2: Yeah, yeah, So as soon as my mother in law

466
00:25:12,720 --> 00:25:15,879
Speaker 2: called and I started looking into this sector, it was

467
00:25:16,080 --> 00:25:20,280
Speaker 2: just like education, and there was a very I thought,

468
00:25:20,320 --> 00:25:24,840
Speaker 2: a very simple solution. And so then immediately started called

469
00:25:24,880 --> 00:25:26,239
Speaker 2: a few mates, said hey, do you want to do

470
00:25:26,280 --> 00:25:29,760
Speaker 2: this again? And they said, oh yeah, yeah, let's do that,

471
00:25:30,359 --> 00:25:32,360
Speaker 2: and so they joined and we went to work.

472
00:25:32,440 --> 00:25:33,760
Speaker 1: I'm going I'm going to go to the bringing it

473
00:25:33,760 --> 00:25:34,919
Speaker 1: comes straight back with you because I want to find

474
00:25:34,960 --> 00:25:37,080
Speaker 1: out the story of how that all happened. And what

475
00:25:37,160 --> 00:25:39,760
Speaker 1: was the name of the business? Kis Kismet. That is

476
00:25:39,800 --> 00:25:41,960
Speaker 1: the name that I want to talk to you about.

477
00:25:42,960 --> 00:25:44,480
Speaker 1: So let's go to the break, come straight back and

478
00:25:44,480 --> 00:25:53,600
Speaker 1: talk about Kismet. Okay, I'm back from the break, and

479
00:25:53,920 --> 00:25:56,719
Speaker 1: we've got on to talk about Kismet. So where did

480
00:25:56,760 --> 00:25:57,600
Speaker 1: the name come from?

481
00:25:57,720 --> 00:26:00,359
Speaker 2: So it means destiny or fate, So you use it

482
00:26:00,359 --> 00:26:05,360
Speaker 2: in the sentence like that's kism It's like Arabian Arabic yea, yeah, yeah,

483
00:26:06,200 --> 00:26:08,000
Speaker 2: And so I'm a big fan of the Office, the

484
00:26:08,400 --> 00:26:11,000
Speaker 2: TV show, which one the America one, American one, yeah,

485
00:26:11,400 --> 00:26:11,920
Speaker 2: the English one.

486
00:26:11,920 --> 00:26:13,520
Speaker 1: But anyway, yeah, okay.

487
00:26:15,200 --> 00:26:17,880
Speaker 2: And anyway, one of the final scenes of the Office,

488
00:26:19,320 --> 00:26:23,840
Speaker 2: you know, Jim's getting everyone together for a farewell and

489
00:26:23,880 --> 00:26:27,040
Speaker 2: he says a line, it was Kismet. It wasn't fate.

490
00:26:27,200 --> 00:26:30,199
Speaker 2: You know, it wasn't you. It was Kismet. Sorry, it

491
00:26:30,240 --> 00:26:33,359
Speaker 2: wasn't Kismet. It was Jim doing all the work. But anyway,

492
00:26:33,400 --> 00:26:35,359
Speaker 2: we use in the sentence, we use it all the time,

493
00:26:36,920 --> 00:26:43,399
Speaker 2: very thankful and grateful for everything that's happened in my life.

494
00:26:43,480 --> 00:26:45,960
Speaker 2: So and a lot of that feels like just right time,

495
00:26:46,040 --> 00:26:48,439
Speaker 2: right place, for some reason, I'm in the right spot

496
00:26:48,640 --> 00:26:51,879
Speaker 2: and right people, and that's it. I've just been so lucky.

497
00:26:53,040 --> 00:26:56,240
Speaker 2: And Kismet is that destiny fate. So and we like

498
00:26:56,320 --> 00:26:58,560
Speaker 2: to think that if we can solve some of that relief,

499
00:26:59,440 --> 00:27:01,520
Speaker 2: So as we say relief, So, if we can help

500
00:27:01,560 --> 00:27:04,480
Speaker 2: you find that occupational therapist or that speech therapist that

501
00:27:04,520 --> 00:27:07,320
Speaker 2: you've been looking for for twelve months, that's kism Mike.

502
00:27:07,480 --> 00:27:11,359
Speaker 1: Is it just in relation to the elderly or across

503
00:27:11,400 --> 00:27:12,840
Speaker 1: the board, across the board? Right?

504
00:27:13,160 --> 00:27:17,840
Speaker 2: So disability, anything health So doesn't matter if you have

505
00:27:17,920 --> 00:27:20,359
Speaker 2: disability or your elderly, or you just need to go

506
00:27:20,440 --> 00:27:23,920
Speaker 2: see a specialist. Yeah, or a specialist doesn't matter.

507
00:27:24,160 --> 00:27:27,240
Speaker 1: So like I could be looking for I don't know.

508
00:27:27,640 --> 00:27:29,919
Speaker 1: I might have broken thought of broken figure and I

509
00:27:29,960 --> 00:27:32,480
Speaker 1: need to go and see a hand specialist if they

510
00:27:32,600 --> 00:27:35,640
Speaker 1: research them. I don't know, but I don't know where

511
00:27:35,640 --> 00:27:38,399
Speaker 1: to go. Yeah, kiss me.

512
00:27:38,640 --> 00:27:40,600
Speaker 2: So you can load your own health insurance up. So

513
00:27:40,640 --> 00:27:42,760
Speaker 2: you might just have private health insurance, you might have

514
00:27:42,800 --> 00:27:46,000
Speaker 2: government funded like the NDS or in home care packages

515
00:27:46,119 --> 00:27:49,760
Speaker 2: or DVA. Load it all up onto the platform and

516
00:27:49,880 --> 00:27:52,600
Speaker 2: load up your goals as well. So what do you

517
00:27:52,680 --> 00:27:55,000
Speaker 2: actually want to achieve? Well with my fingers, I want

518
00:27:55,000 --> 00:27:57,080
Speaker 2: to be able. My fingers are bad too. I want

519
00:27:57,080 --> 00:27:58,840
Speaker 2: to be able to catch the football with my son.

520
00:27:59,160 --> 00:27:59,400
Speaker 1: Yep.

521
00:27:59,840 --> 00:28:01,240
Speaker 2: So it will then have a look at all your

522
00:28:01,240 --> 00:28:04,080
Speaker 2: health insurance and automatically book you into appointments. Are going

523
00:28:04,080 --> 00:28:07,639
Speaker 2: to help you improve that based on availability, based on

524
00:28:08,680 --> 00:28:10,680
Speaker 2: all sorts of things that you would have to check

525
00:28:12,280 --> 00:28:13,400
Speaker 2: when you're booking online.

526
00:28:13,440 --> 00:28:15,840
Speaker 1: So I'm going akisme dot com, dot or whatever, wherever

527
00:28:15,840 --> 00:28:18,040
Speaker 1: the website is. I presume it might be an app.

528
00:28:18,040 --> 00:28:19,760
Speaker 1: I don't know what is a web apple, one of

529
00:28:19,760 --> 00:28:23,760
Speaker 1: those things or all those things. I put in my name, details,

530
00:28:24,400 --> 00:28:27,560
Speaker 1: filling the data, fill in all the fields, and then

531
00:28:27,760 --> 00:28:31,199
Speaker 1: it interrogates me. It says, I presume it interrogates me

532
00:28:31,440 --> 00:28:34,360
Speaker 1: and says, what is you're trying to achieve? For example,

533
00:28:35,760 --> 00:28:38,760
Speaker 1: I might be talking about in the example we just

534
00:28:38,800 --> 00:28:41,160
Speaker 1: gave there about getting.

535
00:28:40,960 --> 00:28:42,480
Speaker 2: Hand therapy in my hand therapy.

536
00:28:42,680 --> 00:28:46,040
Speaker 1: So does it then prompt me or is it nudging

537
00:28:46,080 --> 00:28:47,680
Speaker 1: me as well to go on with it?

538
00:28:47,800 --> 00:28:51,600
Speaker 2: Yeah, it will ask you a bunch of different questions.

539
00:28:51,640 --> 00:28:54,680
Speaker 2: In some of your health insurance plans, you might already have.

540
00:28:54,680 --> 00:28:57,080
Speaker 1: Goals on boob, so it just says mark load to

541
00:28:57,080 --> 00:28:59,520
Speaker 1: be boob of details and immediately does it go into boop?

542
00:28:59,600 --> 00:29:01,560
Speaker 1: Do I does it go into my boober account?

543
00:29:01,640 --> 00:29:06,160
Speaker 2: Or youll load up your health insurance plan. Now get

544
00:29:06,200 --> 00:29:08,000
Speaker 2: me on a massive rant in a minute. But most

545
00:29:08,000 --> 00:29:10,360
Speaker 2: health insurance plans are all identical. It doesn't matter what

546
00:29:10,400 --> 00:29:12,520
Speaker 2: you choose. It's bronze, silver, goal, it's the same thing.

547
00:29:13,000 --> 00:29:15,680
Speaker 2: So it's very for us to see the extras of

548
00:29:15,720 --> 00:29:18,880
Speaker 2: what you get because they're all the same. But then

549
00:29:18,920 --> 00:29:21,320
Speaker 2: it will start showing you how to spend those extras

550
00:29:22,280 --> 00:29:24,680
Speaker 2: to achieve your goal, and also not spend them if

551
00:29:24,680 --> 00:29:26,160
Speaker 2: you don't need to spend them. It's not It doesn't

552
00:29:26,200 --> 00:29:29,480
Speaker 2: direct me to a specialist because I don't automatically to

553
00:29:29,520 --> 00:29:30,120
Speaker 2: a specialist.

554
00:29:30,200 --> 00:29:34,400
Speaker 1: So you've got people on the road signing specialists up. Yes, yeah, always.

555
00:29:34,760 --> 00:29:39,160
Speaker 1: It's a bit like an app called class pass. Oh yeah,

556
00:29:39,200 --> 00:29:43,040
Speaker 1: for the gym's correct, correct, But it's for healthcare. So

557
00:29:43,160 --> 00:29:46,760
Speaker 1: class pass will buy up unused yoga sessions, gym sessions

558
00:29:46,760 --> 00:29:50,200
Speaker 1: and then resell those to you for convenience. We do

559
00:29:50,280 --> 00:29:53,240
Speaker 1: the same thing for healthcare. Right, So you go to

560
00:29:53,280 --> 00:29:57,840
Speaker 1: the healthcare professionals and you're presumably vet them and all

561
00:29:57,840 --> 00:30:01,200
Speaker 1: that sort of stuff. Yeah, but they're qualified, and you

562
00:30:01,240 --> 00:30:03,600
Speaker 1: know that someone as a hand specialist, and I might

563
00:30:03,640 --> 00:30:06,920
Speaker 1: need some sort of hand therapy, and there are individuals

564
00:30:06,960 --> 00:30:10,880
Speaker 1: I know. And will it say to me, Mark, you

565
00:30:10,960 --> 00:30:14,560
Speaker 1: live in I know King's Cross, there are five people

566
00:30:14,560 --> 00:30:17,920
Speaker 1: in your area who have signed up to Kismuth themselves

567
00:30:17,960 --> 00:30:20,760
Speaker 1: because you're building a marketplace. I guess yes, yes, we'reah,

568
00:30:22,160 --> 00:30:24,800
Speaker 1: And it'll suggest does it go right down to the

569
00:30:24,800 --> 00:30:26,400
Speaker 1: detail actually booking me an appointment?

570
00:30:26,720 --> 00:30:29,200
Speaker 2: So a book you appointment goes one step further and

571
00:30:29,240 --> 00:30:32,800
Speaker 2: if you have and again we are focused for everyone,

572
00:30:32,840 --> 00:30:35,400
Speaker 2: but we really focus on that elderly population. So if

573
00:30:35,440 --> 00:30:37,880
Speaker 2: you can't drive yourself to the appointment for whatever reason,

574
00:30:38,240 --> 00:30:39,720
Speaker 2: it will send an uber pick you.

575
00:30:39,720 --> 00:30:41,280
Speaker 1: Up as well.

576
00:30:41,400 --> 00:30:45,000
Speaker 2: Yeah, so it interrogates me, yes, about a whole lot

577
00:30:45,000 --> 00:30:48,520
Speaker 2: of things and what you're trying to achieve. And then

578
00:30:48,560 --> 00:30:50,520
Speaker 2: I'll have a look at your insurances. Now if you

579
00:30:50,560 --> 00:30:52,920
Speaker 2: can't pay for all of that. And again I use

580
00:30:53,000 --> 00:30:58,600
Speaker 2: the family example. The eldest daughter, you can all load

581
00:30:58,720 --> 00:31:02,120
Speaker 2: up twenty dollars on the wallet, Oh wow, to pay

582
00:31:02,160 --> 00:31:05,000
Speaker 2: for mum's physio appointments to pay for the Uber car.

583
00:31:05,080 --> 00:31:07,520
Speaker 2: That's cool, Which means now the eldest daughter is not

584
00:31:07,560 --> 00:31:09,600
Speaker 2: the one saying you owe me twenty bucks. You owe

585
00:31:09,600 --> 00:31:11,479
Speaker 2: me this much. You need to pay for mum's thing.

586
00:31:11,560 --> 00:31:13,640
Speaker 2: It's removing admin. So it gets us all to sign

587
00:31:13,720 --> 00:31:16,560
Speaker 2: up your whole family. So we call that a family circle.

588
00:31:16,680 --> 00:31:19,680
Speaker 2: So if I was the person in charge of our

589
00:31:19,760 --> 00:31:23,560
Speaker 2: mother's aging, I would say, hey, sign up, we're going

590
00:31:23,600 --> 00:31:25,800
Speaker 2: to manage mums. You get to see what's going on,

591
00:31:25,880 --> 00:31:27,520
Speaker 2: so you know it's not me just ripping you off

592
00:31:27,520 --> 00:31:30,920
Speaker 2: as well taking twenty bucks and you can be involved

593
00:31:30,960 --> 00:31:36,280
Speaker 2: and you feel a bit of contribution towards mum's aging.

594
00:31:36,400 --> 00:31:40,640
Speaker 1: That's cool. And so I mean I get the problem

595
00:31:40,640 --> 00:31:42,360
Speaker 1: that you're trying to solve, because it is a problem.

596
00:31:42,760 --> 00:31:46,560
Speaker 1: You solve the problem. Obviously, you probably don't write solf

597
00:31:46,640 --> 00:31:49,440
Speaker 1: with yourself these days, programs that sort of stuff. But

598
00:31:49,640 --> 00:31:50,880
Speaker 1: did you go often get investors?

599
00:31:52,280 --> 00:31:57,520
Speaker 2: Yes, yes, short answer is yes, so kismet because we

600
00:31:57,640 --> 00:31:59,560
Speaker 2: had the previous success.

601
00:31:59,080 --> 00:32:00,920
Speaker 1: Of explore, so he has some capital.

602
00:32:00,960 --> 00:32:04,360
Speaker 2: Yourselves, we had our own capital, and we knew a

603
00:32:04,400 --> 00:32:07,520
Speaker 2: lot of people now, and so we went back out.

604
00:32:07,600 --> 00:32:09,760
Speaker 2: We went to air Tree, said hey, we're doing this again,

605
00:32:10,240 --> 00:32:13,720
Speaker 2: and they said, yes, let's do it again. And so

606
00:32:13,800 --> 00:32:16,120
Speaker 2: we've had a lot of other investors since then.

607
00:32:16,760 --> 00:32:20,160
Speaker 1: So just explain because a lot of people listen to

608
00:32:20,160 --> 00:32:21,960
Speaker 1: this and they don't quite understand how this works. But

609
00:32:22,000 --> 00:32:26,200
Speaker 1: there's you know, there's all sorts of rounds, So just

610
00:32:26,240 --> 00:32:29,960
Speaker 1: take me through the rounds, just broadly, because there's too many.

611
00:32:30,000 --> 00:32:31,920
Speaker 1: There's a lot of terminology out there which is quite confusing.

612
00:32:31,960 --> 00:32:33,520
Speaker 1: A lot of people would just take me through the

613
00:32:33,560 --> 00:32:34,640
Speaker 1: rounds as you see them.

614
00:32:34,880 --> 00:32:37,160
Speaker 2: Yeah, so really it starts off with pre seed or

615
00:32:37,240 --> 00:32:43,320
Speaker 2: pre revenue. So you've got an idea. That's it. Nothing else, no.

616
00:32:43,440 --> 00:32:46,880
Speaker 1: Infrastructure, no people, not even office nothing, probably.

617
00:32:46,600 --> 00:32:48,960
Speaker 2: Not even a business plan. We've literally got an idea

618
00:32:49,960 --> 00:32:54,840
Speaker 2: and you go to investor and I've got this cool idea.

619
00:32:54,960 --> 00:32:57,880
Speaker 2: I need this capital to build the product and the

620
00:32:57,960 --> 00:33:00,440
Speaker 2: CEE if there's product fit. So that's sort of the

621
00:33:00,480 --> 00:33:03,320
Speaker 2: first step. Let's see if there's product fit and you know,

622
00:33:03,480 --> 00:33:07,120
Speaker 2: pre seed, you might at one hundred grand, you might,

623
00:33:07,720 --> 00:33:09,000
Speaker 2: it's usually a lower amount.

624
00:33:10,320 --> 00:33:13,360
Speaker 1: How do you value and how did because like, you know,

625
00:33:13,360 --> 00:33:15,800
Speaker 1: because people often say, oh, well you know, how does

626
00:33:15,800 --> 00:33:18,240
Speaker 1: it work? Like and I don't want to give too

627
00:33:18,280 --> 00:33:20,040
Speaker 1: much away, and I said, well, how much we prefare

628
00:33:20,080 --> 00:33:24,200
Speaker 1: to your buying this? Oh five percent? Yeah, we're not

629
00:33:24,200 --> 00:33:25,880
Speaker 1: going to get one hundred ground because the thing's not

630
00:33:25,960 --> 00:33:28,880
Speaker 1: worth twenty times one hundred grand and it's not worth

631
00:33:28,920 --> 00:33:33,200
Speaker 1: a million. Like it's sometimes they get it, by the way,

632
00:33:33,200 --> 00:33:35,720
Speaker 1: because the idea is sort of interesting, but like, how

633
00:33:35,760 --> 00:33:37,800
Speaker 1: do you how did you get?

634
00:33:38,000 --> 00:33:43,320
Speaker 2: I shake my head, But I think valuations are all nonsense. Yeah,

635
00:33:43,320 --> 00:33:45,960
Speaker 2: it doesn't help my argument, but but you do need

636
00:33:46,000 --> 00:33:46,640
Speaker 2: to have a value.

637
00:33:46,800 --> 00:33:50,480
Speaker 1: Yeah, well, on the other side, the incoming party is evaluation. Yeah,

638
00:33:50,520 --> 00:33:51,200
Speaker 1: it was something.

639
00:33:51,560 --> 00:33:55,400
Speaker 2: It plays, it plays a role. But for me, it's

640
00:33:55,440 --> 00:33:58,120
Speaker 2: like when you sell a house, it's only worth what

641
00:33:58,200 --> 00:34:01,320
Speaker 2: someone's willing to pay for it. That's valuation. So you

642
00:34:01,360 --> 00:34:05,000
Speaker 2: can have a forty billion dollar valuation and everyone's high fiving.

643
00:34:05,040 --> 00:34:07,640
Speaker 2: But when you go list or exit at some and

644
00:34:07,720 --> 00:34:11,640
Speaker 2: someone offers you ten billion, that's what that's what it's worth.

645
00:34:11,680 --> 00:34:14,080
Speaker 2: It's not worth anymore, it's not worth any less. That's

646
00:34:14,120 --> 00:34:19,000
Speaker 2: the amount. So yeah, for me, valuations okay, cool, it's

647
00:34:19,040 --> 00:34:21,560
Speaker 2: a mechanism. It's a tool that allows people to come

648
00:34:21,600 --> 00:34:24,239
Speaker 2: in and invest and not a problem. But after that,

649
00:34:24,480 --> 00:34:28,560
Speaker 2: really not interested in your valuation. It's it's a little

650
00:34:28,600 --> 00:34:29,080
Speaker 2: bit silly.

651
00:34:29,120 --> 00:34:31,400
Speaker 1: So would you say to those people probably in the

652
00:34:31,400 --> 00:34:33,800
Speaker 1: pre seed is probably better somebody that's what family friends

653
00:34:33,800 --> 00:34:37,880
Speaker 1: come in, Yeah, do yourself yeah, or get some angels.

654
00:34:37,600 --> 00:34:41,279
Speaker 2: Yeah, which is hard I would Yeah. I mean the

655
00:34:41,360 --> 00:34:45,520
Speaker 2: best way is, look, if you can build the product yourself,

656
00:34:45,840 --> 00:34:49,520
Speaker 2: if you can or go sell without a product and

657
00:34:49,760 --> 00:34:53,040
Speaker 2: just get customers on board telling them that the product

658
00:34:53,080 --> 00:34:56,040
Speaker 2: will be out in six months time and then you

659
00:34:56,239 --> 00:34:58,960
Speaker 2: so then you've got some some a start product fit

660
00:34:59,120 --> 00:35:01,400
Speaker 2: because people say, yeah, that's an amazing idea. How do

661
00:35:01,440 --> 00:35:05,000
Speaker 2: I use that, So it's just trying to navigate that.

662
00:35:06,320 --> 00:35:09,239
Speaker 2: But once you've got product fit and you know, you've

663
00:35:09,239 --> 00:35:11,879
Speaker 2: got people starting to use it, sort of seed then,

664
00:35:12,880 --> 00:35:15,239
Speaker 2: and you're starting to seed the idea, which is what's

665
00:35:15,440 --> 00:35:18,080
Speaker 2: and you're starting to grow, starting to get revenue. You

666
00:35:18,120 --> 00:35:19,879
Speaker 2: might be building the product out a bit more because

667
00:35:19,920 --> 00:35:22,839
Speaker 2: there's some more features that need to be done. Usually

668
00:35:22,880 --> 00:35:25,359
Speaker 2: that's a bit more. But then Series A is sort

669
00:35:25,360 --> 00:35:29,480
Speaker 2: of the first big one, and that is because you've

670
00:35:29,520 --> 00:35:32,239
Speaker 2: got revenue, you've got product fit, and now it's a

671
00:35:32,280 --> 00:35:33,480
Speaker 2: growth game.

672
00:35:33,640 --> 00:35:35,520
Speaker 1: And at that point you're seeing a VC or use.

673
00:35:35,719 --> 00:35:38,279
Speaker 2: Yeah, you're still vcs. Most of this is VCS all

674
00:35:38,280 --> 00:35:43,120
Speaker 2: the way until yeah, probably C or D or exit,

675
00:35:43,760 --> 00:35:46,960
Speaker 2: and then private equity will come in and do different things.

676
00:35:47,920 --> 00:35:50,719
Speaker 2: You might get private equity early, but usually there a

677
00:35:50,719 --> 00:35:52,480
Speaker 2: bit later. Maybe you've got a bit of a track

678
00:35:52,480 --> 00:35:54,960
Speaker 2: read good you perpski get Yeah, once you've got a

679
00:35:55,000 --> 00:35:56,080
Speaker 2: bit more revenue coming in.

680
00:35:56,360 --> 00:35:58,640
Speaker 1: Yeah, and it is the healthcare sector or and or

681
00:35:59,080 --> 00:36:01,719
Speaker 1: I guess you're of your sort of health tech.

682
00:36:02,040 --> 00:36:04,200
Speaker 2: Yeah, it's a tricky one. Yeah, I'm somewhere in.

683
00:36:04,120 --> 00:36:07,520
Speaker 1: The Yeah, somewhere in there. How's it going as a sector.

684
00:36:07,680 --> 00:36:09,640
Speaker 1: I mean generally speaking, because it did have a run

685
00:36:09,680 --> 00:36:11,760
Speaker 1: and it had a bit of a wak cross of chops.

686
00:36:11,920 --> 00:36:16,239
Speaker 2: Yeah, I don't think it's good. Hence why we're having

687
00:36:16,280 --> 00:36:21,880
Speaker 2: so much success. Very paper based, very Excel spreadsheet based,

688
00:36:22,320 --> 00:36:27,359
Speaker 2: very archaic, at least ten years behind what I saw

689
00:36:27,400 --> 00:36:33,240
Speaker 2: in education, which is very worrying. No consistent system where

690
00:36:33,280 --> 00:36:37,279
Speaker 2: you can share medical records, you can get updates and say, well,

691
00:36:37,480 --> 00:36:40,440
Speaker 2: isn't that what the government's Yeah, sure, but it doesn't work.

692
00:36:42,960 --> 00:36:47,640
Speaker 2: It's messy. There's there's no way. And I think it's

693
00:36:47,640 --> 00:36:50,280
Speaker 2: going to be challenging too because as the population age

694
00:36:50,400 --> 00:36:53,879
Speaker 2: is and you're responsible for your parents, you know, how

695
00:36:53,880 --> 00:36:56,160
Speaker 2: do you get to see the medical records? The help

696
00:36:56,239 --> 00:37:01,759
Speaker 2: and it's just a it's an absolute admin mess, different doctors,

697
00:37:02,560 --> 00:37:06,040
Speaker 2: documents not where they're meant to be. It's it's a mess.

698
00:37:06,400 --> 00:37:09,600
Speaker 1: Are you loading up medical records as well?

699
00:37:10,200 --> 00:37:13,560
Speaker 2: Not yet. We would like to do medical records. We'd

700
00:37:13,640 --> 00:37:17,760
Speaker 2: like to do it on the blockchain, so not crypto,

701
00:37:17,960 --> 00:37:20,160
Speaker 2: but blockchain technology, which.

702
00:37:20,719 --> 00:37:22,280
Speaker 1: Just distribution of the information.

703
00:37:22,719 --> 00:37:26,640
Speaker 2: Yeah, but that can be revoked. So what's what is

704
00:37:26,680 --> 00:37:30,919
Speaker 2: an interesting concept is when you're a child, your parents,

705
00:37:32,120 --> 00:37:34,200
Speaker 2: no one knows really right now, but you would assume

706
00:37:34,200 --> 00:37:36,600
Speaker 2: your parents have your medical records and they have that

707
00:37:36,680 --> 00:37:41,960
Speaker 2: information about you, and it's at your family doctor. Now,

708
00:37:42,000 --> 00:37:45,960
Speaker 2: when you turn eighteen or you become an adult, you

709
00:37:46,000 --> 00:37:48,480
Speaker 2: should be able to revoke access to that and you

710
00:37:48,520 --> 00:37:50,520
Speaker 2: should be able to take your medical records and go

711
00:37:50,560 --> 00:37:55,560
Speaker 2: wherever you need to go, and blockchain would facilitate that

712
00:37:55,680 --> 00:37:59,359
Speaker 2: quite nicely. And also you can go to special specialists.

713
00:37:59,520 --> 00:38:02,080
Speaker 2: They could have access to your medical records for a

714
00:38:02,120 --> 00:38:05,399
Speaker 2: period of time and then it gets revoked and it

715
00:38:05,440 --> 00:38:07,600
Speaker 2: moves on. So all of a sudden, you've got security

716
00:38:07,600 --> 00:38:09,880
Speaker 2: of a medical records. You can digitize a lot of

717
00:38:09,880 --> 00:38:13,760
Speaker 2: medical records and they're actually yours. And then as you age,

718
00:38:13,800 --> 00:38:17,640
Speaker 2: you can give your family members access to your medical

719
00:38:17,680 --> 00:38:20,440
Speaker 2: records or your cares and then revoke them if they

720
00:38:20,880 --> 00:38:23,600
Speaker 2: quit their job or all the thousand things and instead

721
00:38:23,600 --> 00:38:27,359
Speaker 2: of all the records out there in the ether. So

722
00:38:27,400 --> 00:38:30,600
Speaker 2: there's some interesting concepts that we'd like to start doing,

723
00:38:31,400 --> 00:38:32,479
Speaker 2: but we're just not there yet.

724
00:38:32,800 --> 00:38:38,000
Speaker 1: So where do you see the future though, for especially

725
00:38:38,040 --> 00:38:41,799
Speaker 1: the aging population. Let's leave eighteen year olds alone for them,

726
00:38:42,040 --> 00:38:45,680
Speaker 1: just the aging population, we do you see us and

727
00:38:45,960 --> 00:38:48,200
Speaker 1: well in the next two months. Where do you see

728
00:38:48,280 --> 00:38:50,760
Speaker 1: us ending up in terms of what kisma can actually provide?

729
00:38:50,800 --> 00:38:54,759
Speaker 1: Because I find Kismut quite interesting. I mean, I'm over

730
00:38:54,800 --> 00:38:57,520
Speaker 1: sixty five and not I'm healthy, so I'm lucky, but

731
00:38:58,760 --> 00:39:01,200
Speaker 1: I often wanted to myself, how would I how would

732
00:39:01,280 --> 00:39:04,920
Speaker 1: my kids help out? Yep? If yeah, if something happened

733
00:39:04,920 --> 00:39:09,080
Speaker 1: to me, like let's say I lost my cognition, how

734
00:39:09,080 --> 00:39:11,480
Speaker 1: would they manage me? Last thing I wanted to do

735
00:39:11,520 --> 00:39:14,040
Speaker 1: is burden my kids, and I'd like it to be

736
00:39:14,080 --> 00:39:14,760
Speaker 1: sort of automated.

737
00:39:14,800 --> 00:39:17,160
Speaker 2: If you don't, yeah, yeah, so that would be kis

738
00:39:17,200 --> 00:39:20,160
Speaker 2: men not selling it, but that's exactly what we're doing.

739
00:39:20,880 --> 00:39:23,160
Speaker 2: You want those people caring for you to the kids

740
00:39:24,280 --> 00:39:27,160
Speaker 2: not to be burdened, and you want and this is

741
00:39:27,200 --> 00:39:30,120
Speaker 2: all my assumption of what people want as they age,

742
00:39:30,239 --> 00:39:33,440
Speaker 2: but I know what I would like with my kids

743
00:39:33,640 --> 00:39:36,839
Speaker 2: and for them to remember those times when Dad was

744
00:39:37,400 --> 00:39:41,560
Speaker 2: doing his thing and not having to sort of babysit

745
00:39:41,640 --> 00:39:43,479
Speaker 2: me now because I can't do things on my own.

746
00:39:44,640 --> 00:39:48,799
Speaker 2: So Kismet, you could sign up today or as you

747
00:39:48,840 --> 00:39:51,400
Speaker 2: get closer to thinking you might need care, get the

748
00:39:51,480 --> 00:39:55,640
Speaker 2: kids on the platform and they can start managing your health.

749
00:39:55,719 --> 00:39:58,880
Speaker 2: What's really good about the aging population is they've gone

750
00:39:58,880 --> 00:40:04,239
Speaker 2: through all the technoloology change. They've seen everything Internet, so

751
00:40:04,360 --> 00:40:06,799
Speaker 2: now AI they've seen the whole thing, and they're very,

752
00:40:06,920 --> 00:40:11,120
Speaker 2: very competent tech users. So what we want to do

753
00:40:11,200 --> 00:40:12,920
Speaker 2: is move to this world where it's app less. And

754
00:40:12,960 --> 00:40:15,560
Speaker 2: you sort of hinted at it before. Is it a website?

755
00:40:15,640 --> 00:40:17,520
Speaker 2: Is it an app? Or is it everything? And it

756
00:40:17,520 --> 00:40:20,959
Speaker 2: gets confusing how do I log in? So where we're

757
00:40:21,000 --> 00:40:24,239
Speaker 2: headed is you're not logging into anything. You literally use

758
00:40:24,480 --> 00:40:29,280
Speaker 2: SMS or whatever messaging platform you use, WhatsApp, Facebook, Messenger, picatool,

759
00:40:29,719 --> 00:40:33,480
Speaker 2: and you message kismet, I need a physio today, and

760
00:40:33,520 --> 00:40:36,480
Speaker 2: then Kismet does everything. So it will check out your

761
00:40:36,520 --> 00:40:39,640
Speaker 2: health insurers, it will see what funding you have available

762
00:40:39,640 --> 00:40:42,440
Speaker 2: to achieve that. It will book you an uber. You

763
00:40:42,480 --> 00:40:44,719
Speaker 2: will go attend the book you into the appointment. You'll

764
00:40:44,719 --> 00:40:48,160
Speaker 2: go attend that appointment, and then it will just charge

765
00:40:48,440 --> 00:40:51,640
Speaker 2: your health insurer your own money to pay for that appointment.

766
00:40:51,840 --> 00:40:52,640
Speaker 2: And you do nothing.

767
00:40:53,880 --> 00:40:54,560
Speaker 1: You just turn up.

768
00:40:54,680 --> 00:40:57,279
Speaker 2: You just turn up and you get a text message saying, hey,

769
00:40:57,280 --> 00:40:59,560
Speaker 2: you've got an appointment today, or you get a text

770
00:40:59,640 --> 00:41:02,000
Speaker 2: message to one of your kids saying Dad just finished

771
00:41:02,640 --> 00:41:06,279
Speaker 2: at the hand specialist or whatever the scenario is, you

772
00:41:06,360 --> 00:41:11,040
Speaker 2: don't do anything, and that's the automated healthcare that we're

773
00:41:11,040 --> 00:41:14,359
Speaker 2: trying to achieve based on your personal goals and what

774
00:41:14,440 --> 00:41:17,719
Speaker 2: you want to achieve, your outcomes, what your kids are

775
00:41:17,719 --> 00:41:21,359
Speaker 2: wanting to achieve, because if you think about now, none

776
00:41:21,360 --> 00:41:24,360
Speaker 2: of that's really discussed, Like the kids aren't sitting around saying,

777
00:41:24,360 --> 00:41:25,480
Speaker 2: what does dad want? What?

778
00:41:25,640 --> 00:41:26,760
Speaker 1: The same as a problem?

779
00:41:27,080 --> 00:41:28,040
Speaker 2: Correct, it's reactive.

780
00:41:28,160 --> 00:41:31,680
Speaker 1: Yeah, well shit, dad's coughing up blood. What are we

781
00:41:31,719 --> 00:41:34,560
Speaker 1: going to do? Yeah? And who's available? Yeah?

782
00:41:34,800 --> 00:41:37,640
Speaker 2: And where is his health insurance? Where's this? Where's that?

783
00:41:37,760 --> 00:41:40,480
Speaker 2: How do we pay for it? Who's responsible? And it

784
00:41:40,520 --> 00:41:42,680
Speaker 2: will be the eldest that puts the hand that says

785
00:41:42,920 --> 00:41:46,080
Speaker 2: I'll do it, and then that relationship immediately shifts.

786
00:41:46,400 --> 00:41:50,000
Speaker 1: Yeah, do you see yourself? Do you see kismet in

787
00:41:50,040 --> 00:41:53,080
Speaker 1: the future? Actually maybe going one step further than sort

788
00:41:53,080 --> 00:41:58,400
Speaker 1: of being predictive. And you know, I know it's overused,

789
00:41:58,440 --> 00:42:04,279
Speaker 1: but you know, using some machine learning based on you know,

790
00:42:05,120 --> 00:42:08,919
Speaker 1: my indications that might nudge me to say, listen, Mark,

791
00:42:08,960 --> 00:42:12,359
Speaker 1: you know, it seems like you're based on a whole

792
00:42:12,360 --> 00:42:14,799
Speaker 1: lot of things, we really should go and get some

793
00:42:16,800 --> 00:42:19,399
Speaker 1: test for dementia our times or something like just get

794
00:42:19,480 --> 00:42:22,000
Speaker 1: test whatever that test may be. And would you like

795
00:42:22,040 --> 00:42:23,920
Speaker 1: us to the book you in as opposed to me

796
00:42:24,000 --> 00:42:29,239
Speaker 1: saying getting on the mother, what's WhatsApp whatever instead of saying,

797
00:42:29,239 --> 00:42:33,800
Speaker 1: you know, I'm being really forgetful, or because I presume

798
00:42:34,239 --> 00:42:37,080
Speaker 1: like whatever platform the family is using, who's signed up

799
00:42:37,120 --> 00:42:42,120
Speaker 1: to kismett, let's call it so what's what'sapp? Group? If

800
00:42:43,520 --> 00:42:46,680
Speaker 1: we all start, let's say they're all talking about me

801
00:42:47,840 --> 00:42:50,160
Speaker 1: and they say our dad, who's forgetting stuff? Or dad?

802
00:42:51,080 --> 00:42:55,120
Speaker 1: I wonder if KISMA can recognize that and say, you know,

803
00:42:55,320 --> 00:42:58,440
Speaker 1: maybe we looked that plus at ten other things. We

804
00:42:58,560 --> 00:43:02,680
Speaker 1: notice you've got that thing on hand with that's that

805
00:43:02,760 --> 00:43:04,479
Speaker 1: things called in hand, then we you know it gets

806
00:43:04,480 --> 00:43:07,960
Speaker 1: the tended to goinggoether or your cholesterol is really high

807
00:43:08,000 --> 00:43:11,320
Speaker 1: and well you had a stroke, a mini stroke. Maybe

808
00:43:11,320 --> 00:43:15,520
Speaker 1: there's a cognition issue going on here. Back to the family,

809
00:43:15,719 --> 00:43:18,120
Speaker 1: would you like us to book it in? Do you

810
00:43:18,160 --> 00:43:19,000
Speaker 1: see that as the future?

811
00:43:19,080 --> 00:43:21,040
Speaker 2: Yeah? I definitely say that's the future. And it's that

812
00:43:21,400 --> 00:43:24,640
Speaker 2: example is very good because it's the kids in this

813
00:43:24,760 --> 00:43:29,600
Speaker 2: example that are saying, oh, Dad just forgot the birthday again. Yeah,

814
00:43:29,680 --> 00:43:32,120
Speaker 2: And they're sort of raising concerns, but they may feel

815
00:43:32,120 --> 00:43:34,560
Speaker 2: a little bit awkward saying that with a not even.

816
00:43:34,480 --> 00:43:38,040
Speaker 1: Joke about it. Yeah, that's ridiculous, Dad, you forgot something again,

817
00:43:38,120 --> 00:43:39,799
Speaker 1: you know what I mean? But they could do it

818
00:43:39,800 --> 00:43:44,680
Speaker 1: in such way as not correct, confrontational to the potential patient.

819
00:43:45,080 --> 00:43:48,719
Speaker 2: Exactly right. And I think it's that natural language that

820
00:43:48,840 --> 00:43:52,080
Speaker 2: allows you to say, you know, forget this, forget that,

821
00:43:52,960 --> 00:43:57,880
Speaker 2: and then Kismet's prompting saying you've got this available appointment

822
00:43:58,080 --> 00:43:59,640
Speaker 2: to be able to check these types of things.

823
00:43:59,560 --> 00:44:05,080
Speaker 1: Doesn't mean your your over time, your system is learning externally,

824
00:44:05,960 --> 00:44:11,239
Speaker 1: not not indigenously off the WhatsApp group both, but externally

825
00:44:11,960 --> 00:44:16,680
Speaker 1: the sorts of things that may result in the need

826
00:44:16,719 --> 00:44:20,840
Speaker 1: to have a cognition test, but then gets then sees

827
00:44:21,080 --> 00:44:24,200
Speaker 1: what the WhatsApp group is doing indogenously or ship the

828
00:44:24,200 --> 00:44:28,839
Speaker 1: word forgot forgetfulness Dad, come up five times or once

829
00:44:28,960 --> 00:44:31,480
Speaker 1: or whatever, and then add some weighting to it in

830
00:44:31,520 --> 00:44:35,600
Speaker 1: a typical mathematical way, builds up the algorithm. And then

831
00:44:35,800 --> 00:44:40,000
Speaker 1: that's because that's how machine learning works. There. Actually they're

832
00:44:40,000 --> 00:44:44,000
Speaker 1: pretty simple algorithms. It's very simple mathematically, quite much more

833
00:44:44,000 --> 00:44:47,319
Speaker 1: similaran everybody thinks now I completely just like calculus and

834
00:44:47,360 --> 00:44:47,760
Speaker 1: a bit.

835
00:44:47,600 --> 00:44:50,879
Speaker 2: Of and you're doing things linear algebra. That's if you're

836
00:44:50,880 --> 00:44:52,160
Speaker 2: doing fourth what they.

837
00:44:52,160 --> 00:44:54,359
Speaker 1: Called what I was fourth formers you ten. Yeah, yeah, yeah,

838
00:44:54,880 --> 00:44:57,880
Speaker 1: it's just linear algebra, like a bit more complix that

839
00:44:57,920 --> 00:44:58,719
Speaker 1: but you know what I mean.

840
00:44:58,960 --> 00:45:00,600
Speaker 2: Yeah, I don't want to offend to me the engineers,

841
00:45:00,600 --> 00:45:05,359
Speaker 2: but yes, it's literally basic. If this happens, then this

842
00:45:05,520 --> 00:45:08,320
Speaker 2: needs to occur. It's really with some waiting.

843
00:45:08,480 --> 00:45:10,359
Speaker 1: Yep. It might be that you know, one might be

844
00:45:10,440 --> 00:45:13,800
Speaker 1: one variable might be waited twice. But it's not that difficult.

845
00:45:14,800 --> 00:45:18,480
Speaker 1: It's just a great perspective engineers. But you know, I

846
00:45:18,520 --> 00:45:20,320
Speaker 1: may I have a partners an engineer, so I'm.

847
00:45:20,200 --> 00:45:23,480
Speaker 2: Not an engine so I always offend them. But yeah,

848
00:45:23,800 --> 00:45:28,840
Speaker 2: it's but it's just not done. It's proactive and personal healthcare,

849
00:45:28,960 --> 00:45:32,760
Speaker 2: which is very different to reactive. And you're a number

850
00:45:33,600 --> 00:45:37,360
Speaker 2: because you could screen and scan everyone for Alzheimer's and

851
00:45:37,360 --> 00:45:41,640
Speaker 2: you probably get the same result. But there's no point

852
00:45:41,680 --> 00:45:43,120
Speaker 2: screaming people that don't need it.

853
00:45:44,200 --> 00:45:46,120
Speaker 1: So the government would be happy, because that's not that's

854
00:45:46,320 --> 00:45:51,799
Speaker 1: your being efficient. I think this. So if you were

855
00:45:51,920 --> 00:45:58,080
Speaker 1: describe in an emotional sense, what in emotional words that

856
00:45:58,200 --> 00:46:01,640
Speaker 1: describe the emotional of all this and what kismet does

857
00:46:01,920 --> 00:46:03,600
Speaker 1: is it sort of keep families together.

858
00:46:03,840 --> 00:46:06,920
Speaker 2: I mean for me, I always come back to relief,

859
00:46:07,239 --> 00:46:10,719
Speaker 2: like we sell relief, So when you use kismet, So

860
00:46:10,840 --> 00:46:17,000
Speaker 2: that's the alzheimers or the dementia example, if we were

861
00:46:17,040 --> 00:46:19,280
Speaker 2: able to pick that up and get you the screening

862
00:46:19,360 --> 00:46:22,480
Speaker 2: and get you the support and get the early intervention,

863
00:46:22,560 --> 00:46:24,640
Speaker 2: not saying well stop it or anything, but we're preparing

864
00:46:24,680 --> 00:46:29,600
Speaker 2: your children. We know what's headed. That should give you relief.

865
00:46:29,640 --> 00:46:33,680
Speaker 2: You should feel thank god we got onto that quickly

866
00:46:33,880 --> 00:46:35,760
Speaker 2: and it could be a better result where it completely

867
00:46:35,920 --> 00:46:40,040
Speaker 2: solves the problem. But it's that it's relief because we

868
00:46:40,120 --> 00:46:44,040
Speaker 2: also we don't want you feeling relief when your parent passes,

869
00:46:44,239 --> 00:46:47,560
Speaker 2: or your kids feeling relief when you pass because I'm

870
00:46:47,600 --> 00:46:50,120
Speaker 2: so happy Dad's out of the picture. It sounds terrible,

871
00:46:50,520 --> 00:46:52,040
Speaker 2: but now I can get back on with my life

872
00:46:52,040 --> 00:46:55,600
Speaker 2: and I don't have that burden. It's that burden. I

873
00:46:55,719 --> 00:46:57,440
Speaker 2: know my mom doesn't want to put a burden on me.

874
00:46:58,680 --> 00:47:00,680
Speaker 2: There's no different to what you said about your kids,

875
00:47:00,719 --> 00:47:02,439
Speaker 2: and I wouldn't want to put a burn on my kids.

876
00:47:02,440 --> 00:47:05,520
Speaker 2: So it's that that relief and yeah, that the feel

877
00:47:05,520 --> 00:47:09,560
Speaker 2: good part is hopefully we are keeping families together longer

878
00:47:10,160 --> 00:47:14,920
Speaker 2: for multiple reasons. They're not fighting, but they're also healthier.

879
00:47:15,760 --> 00:47:18,080
Speaker 2: And that's right now. And if you picked it up,

880
00:47:18,320 --> 00:47:21,839
Speaker 2: you know, dementia with yourself in the other example, well,

881
00:47:21,880 --> 00:47:25,000
Speaker 2: now I've got very early intervention with your kids.

882
00:47:25,280 --> 00:47:27,439
Speaker 1: You know, I could see this, and I'm not trying

883
00:47:27,480 --> 00:47:31,480
Speaker 1: to your stuff, but I can see if you educate

884
00:47:32,520 --> 00:47:35,839
Speaker 1: your users of the WhatsApp. In other words, you say

885
00:47:35,920 --> 00:47:39,160
Speaker 1: to the family, look, we have AI in here, and

886
00:47:39,280 --> 00:47:44,600
Speaker 1: it will pick up. So the family can actually manipulate

887
00:47:44,880 --> 00:47:48,040
Speaker 1: the prompting a little bit because they could actually sort

888
00:47:48,040 --> 00:47:52,359
Speaker 1: of in their conversation. Yeah, could be you could train

889
00:47:52,440 --> 00:47:55,680
Speaker 1: the children. This sounds terrible, but your training just said

890
00:47:55,680 --> 00:47:58,160
Speaker 1: listen this what this will do will pick these things

891
00:47:58,239 --> 00:48:01,800
Speaker 1: up in the conversation that we pick up off the WhatsApp.

892
00:48:02,480 --> 00:48:05,480
Speaker 1: And because naturally, what will happen is kids will say, well,

893
00:48:05,480 --> 00:48:09,200
Speaker 1: hang on, I don't really want to have the burden

894
00:48:09,239 --> 00:48:12,560
Speaker 1: of having to wipe my dad's ass because he's got

895
00:48:12,560 --> 00:48:14,480
Speaker 1: to mention he doesn't know what he's doing something. Shit's

896
00:48:14,520 --> 00:48:17,680
Speaker 1: the bed all the time, and so I'd like to

897
00:48:17,680 --> 00:48:20,160
Speaker 1: get on top of that really quick. And if I'm

898
00:48:20,160 --> 00:48:22,799
Speaker 1: talking to my brother and my sister, or in my case,

899
00:48:22,880 --> 00:48:26,200
Speaker 1: my four sons to talk to each other, I can

900
00:48:26,320 --> 00:48:30,960
Speaker 1: just see them saying, look, let's start to manipulate the

901
00:48:31,000 --> 00:48:33,720
Speaker 1: AI ourselfs I suppose the IO doing all the prompting.

902
00:48:34,160 --> 00:48:37,719
Speaker 1: Let's prompt the AI to prompt us, and then me

903
00:48:37,880 --> 00:48:41,720
Speaker 1: as the father, I'm far more accepting that the II

904
00:48:42,880 --> 00:48:45,600
Speaker 1: that kids met's telling me this than one of my

905
00:48:45,680 --> 00:48:47,520
Speaker 1: kids is telling me that you know what I'm saying,

906
00:48:48,080 --> 00:48:50,279
Speaker 1: because I'm going to say, well, mathematically, in my case,

907
00:48:50,280 --> 00:48:53,799
Speaker 1: at least mathematically has been done, and I will find

908
00:48:53,800 --> 00:48:55,719
Speaker 1: that more acceptable. And plus one of my sons might

909
00:48:55,760 --> 00:48:58,759
Speaker 1: not feel comfortable saying it. But if you're saying it

910
00:48:58,760 --> 00:49:00,239
Speaker 1: in a text, you can say a lot more in

911
00:49:00,320 --> 00:49:03,400
Speaker 1: a text, and you can say verbally completely agree.

912
00:49:03,239 --> 00:49:06,080
Speaker 2: People like you see it on online games Keyboard Warriors,

913
00:49:06,120 --> 00:49:08,520
Speaker 2: like you can say things in a message, then you

914
00:49:08,600 --> 00:49:10,759
Speaker 2: probably be a bit hesitant to say face to face.

915
00:49:10,920 --> 00:49:13,279
Speaker 1: That's that's pretty cool. So I love the whole idea.

916
00:49:13,480 --> 00:49:16,920
Speaker 1: I actually think, yeah, I mean, I'm sure it should

917
00:49:16,920 --> 00:49:19,600
Speaker 1: be able to be used by everybody at every age group.

918
00:49:19,680 --> 00:49:21,880
Speaker 1: But I'm just conceded in the older of the aging population.

919
00:49:21,960 --> 00:49:25,279
Speaker 1: I can see it working really well too. And well

920
00:49:25,280 --> 00:49:28,640
Speaker 1: well done, Mark, I mean I really, I actually really

921
00:49:28,680 --> 00:49:31,600
Speaker 1: enjoyed the conversation. That's really pretty good. Maybe because I'm

922
00:49:31,600 --> 00:49:33,799
Speaker 1: getting older and I'm thinking about myself. Well, there's the

923
00:49:33,920 --> 00:49:35,160
Speaker 1: sort of things you want to think about your will,

924
00:49:35,200 --> 00:49:36,719
Speaker 1: You got to think about the legacy, You got to

925
00:49:36,719 --> 00:49:39,640
Speaker 1: think about everything these days. And given the fact that

926
00:49:39,640 --> 00:49:43,400
Speaker 1: we probably live longer and maybe but maybe not healthier.

927
00:49:43,520 --> 00:49:44,799
Speaker 2: Yeah, that's exactly I mean.

928
00:49:44,960 --> 00:49:47,160
Speaker 1: Then all of a sudden, you don't want your kids

929
00:49:47,160 --> 00:49:50,520
Speaker 1: when they're in their sixties to have to be as

930
00:49:50,560 --> 00:49:52,680
Speaker 1: I said, white marass. You know, like I just I

931
00:49:52,719 --> 00:49:55,960
Speaker 1: don't want that. That's called dignity. Yeah, I know. And

932
00:49:56,440 --> 00:49:58,319
Speaker 1: you know my alternative is to say, okay, and if

933
00:49:58,360 --> 00:50:00,560
Speaker 1: I know, I'm going to get that way, and but

934
00:50:00,600 --> 00:50:03,239
Speaker 1: it's too late. I'm already that way. I'm going to

935
00:50:03,239 --> 00:50:05,319
Speaker 1: be saying, that's the enemy from my point of view.

936
00:50:05,400 --> 00:50:08,560
Speaker 1: I'm going to go somewhere where they I can nect

937
00:50:08,560 --> 00:50:12,400
Speaker 1: myself legally. Yea, Because and I've had that conversation with

938
00:50:12,480 --> 00:50:14,000
Speaker 1: kids and they said, Dad, why don't we do that?

939
00:50:14,719 --> 00:50:16,240
Speaker 1: And I said, well, I don't want to be burdened.

940
00:50:16,320 --> 00:50:16,759
Speaker 2: Yeah, that's it.

941
00:50:16,920 --> 00:50:20,480
Speaker 1: So what this does the souls and other souls a conundrum?

942
00:50:21,840 --> 00:50:24,279
Speaker 1: You know, it's because it allows things to be got

943
00:50:24,320 --> 00:50:27,080
Speaker 1: on top of quicker perhaps, which you can you know,

944
00:50:27,120 --> 00:50:31,040
Speaker 1: you can delay outcomes for a longer period. Outcomes can

945
00:50:31,080 --> 00:50:36,480
Speaker 1: be can be delayed for longer periods. And everybody feels,

946
00:50:36,560 --> 00:50:39,279
Speaker 1: as you say, relief, a bit more intellectual relief and

947
00:50:39,320 --> 00:50:42,400
Speaker 1: a little bit more emotional relief that at least something

948
00:50:42,440 --> 00:50:45,280
Speaker 1: else is sort of looking at this stuff all the time.

949
00:50:45,840 --> 00:50:48,319
Speaker 1: You know, it's a constant surveillance.

950
00:50:48,880 --> 00:50:52,359
Speaker 2: It is, it is. It's always on. At some point,

951
00:50:52,440 --> 00:50:54,560
Speaker 2: you have to sleep, your kids have to sleep, something

952
00:50:54,600 --> 00:50:56,839
Speaker 2: happens during the night. It's always there.

953
00:50:57,040 --> 00:50:59,560
Speaker 1: That's great. I love it. So, by the way, will you,

954
00:50:59,640 --> 00:51:01,480
Speaker 1: at some age look at some sort of wearable that

955
00:51:01,560 --> 00:51:02,040
Speaker 1: talks to.

956
00:51:02,600 --> 00:51:05,240
Speaker 2: Yeah, there's so many opportunities, so short answers.

957
00:51:05,280 --> 00:51:09,600
Speaker 1: Yeah, shut up, no, no, see me having a wearable

958
00:51:09,600 --> 00:51:11,400
Speaker 1: on that and something happens to you know, in the

959
00:51:11,400 --> 00:51:14,560
Speaker 1: middle of the I that the wearriable detects a flicks

960
00:51:14,560 --> 00:51:17,000
Speaker 1: a message to the WhatsApp group. WhatsApp group has been

961
00:51:17,080 --> 00:51:20,320
Speaker 1: read by e chismet, and it pings everybody.

962
00:51:20,680 --> 00:51:24,160
Speaker 2: Yeah, yeah, there's some amazing things that I wish I

963
00:51:24,200 --> 00:51:26,839
Speaker 2: had more time and we could speed up a bit more.

964
00:51:26,880 --> 00:51:28,320
Speaker 2: But yeah, there's some good things coming.

965
00:51:28,440 --> 00:51:31,320
Speaker 1: Awesome Michael Them, that's fantastic, kismet. It sounds great.

966
00:51:31,760 --> 00:51:32,200
Speaker 2: Thank you.