But people now aren't banking where their parents banked. So there's a whole lot of more agile'ness around money movement.

That's why a lot of influencers in this financial space have had such a great rise to fame: what it allows you to do is get very specific content right in the hands of the people who need it at the time that they're looking for it.

For the big enterprise financial institutions, this is anywhere between 35% and 45% of their acquisition funnel - if I'm going to get a new mortgage, or if I'm going to get a new business loan, I'm telling you, I'm going to research it.

We don't like to say it's a small country actually, and we just held the NATO summit in Vilnius in July, so we had a very nice ad: Lithuania is not a small country, it's a big country compacted to your convenience!

That's Lithuania. It's not a relatively small country: it's extremely compact. It's easy to reach, it's pretty much all in one place. It's great work life balance. And that's why Lithuania is feeling kind of Renaissance for re-immigration.

Well, the Lithuanian GDP, if compared to 2000 it has grown five times, if compared to 1995 it has grown 8.6 times. So it was really, really expanding.

And these fraudsters will keep coming at you. And they will get faster and wiser and smarter. But to be honest, I didn't know all the things that could have happened to me until actually I'd experienced them. So it's a massive warning to anyone, you know, whether you're a consumer or a business person, or you have a business and you own a business, or you've got a business partnership, or whatever it is, just make sure you're vigilant about everything.

Don't think that you know somebody, because you might not know them as well. You know, fraud, fraudsters can have lots of different faces and guises. It might be a stranger, like your podcast, but it also might be somebody that you know, so just be really, really careful out there. Reputations take years to build up and it takes a second to destroy.

Okay, so I knew that if Nigeria was going to grow and the middle class was going to emerge, there has to be a credit culture, right?

And I knew that one person wouldn't be able to do it. One lender wouldn't be able to do it.

Because when you look at Nigeria and look at why credit doesn't work, you need to understand that is a lack of consequences that killed credit. In Nigeria today, if you took money, and you don't pay it back afterwards, nothing happens to you. Now, one of the things that Lendsqr is doing is that, by having a technology driven consequences, then that problem is going to go away.

I worked my way, literally, through elementary school and through high school. In high school, I caught a break, I was on my way to buy a Slurpee, like maybe 12 years old, and a guy dropped something on the street, and I went and picked it up for him and put it on the back of a truck. And they're like, Hey, why don't you help us load this truck. I said, sure, I got nothing going on. And I just loaded a truck with them. And then like an hour later, they said, Well, hey, kid, why don't you come deliver the truck with us. And I said sure.

Now remember, this is time where parents didn't worry about their kids. It was relatively safe. I'm a 12 year old getting into a truck. We drove to Westchester unloaded the truck. I get back four hours later. And the guy says What are you doing tomorrow? I'm like, I don't have school tomorrow. He goes, we'll be here at four o'clock in the morning and you can work.

And I worked every minute of my life through high school.

Distressed property - maybe it’s dated on the inside with bad cabinets - can always be repaired, not distressed people. And so we focus on distressed properties, not distressed people. And that platform has worked very, very well for us.

So going live with Taktile is, I would say, very smooth and can happen rapidly.

Once we sign a customer, our customer success team provides training and support for the platform. However, many of our customers prefer to just building and figuring it out on their own on the platform.

On the other hand, on top of the software, we also have customers to identify the right data providers for their use case and for that customer segment. And we do share best practices from our experiences in the industry. By now we've seen so many products and use cases that we can tell you if you want to launch a lending product in the UK. For that type of segment, I think we have a very good idea of what are the possibilities out there of data source that you can actually use in the end.

All it takes is one bad egg to throw a business off, especially in what we're doing where it's small startups and scale ups - the impact that that person has is so broad that when it goes well, it's such a great feeling, but equally, if it goes the wrong way, and you hire the wrong person, they don't fit into your company values, your ethos, your approach to how you work, the effect goes just as much the other way.

It's not just around here's the CVs and putting bums on seats. For us. It's really about embedding ourselves in the business.

There's definitely this talent shortage. But I think there's a lot of people trying out new markets, a lot of movers and shakers, you know, you've got a global workforce, you can have people in Asia, in Africa or in North America, we're not speaking to people and saying if you can double my salary, I'll go there is people saying I need to have remote working, I need to spend more time my families and that purpose.

And I said, come on, what are you talking about? Everybody in Mexico has a mobile phone and in the region is the same, the same scenario.

So at the end, they are producing the little prints, I will say every second every minute of their day. So with alternative data, now they have the opportunity to go after this population.

Each time where I think that this cross border space between Brazil and the world has reached its maximum I'm wrong: every year it just keeps growing steadily and steadily and steadily.

79% of Brazilian consumers typically would divide their purchases into instalments. So this is a reality has been a reality. Now, we are also integrated with NuPay, which offers the user the capability to make a purchase with an offshore motion, and have the interest rate defined by no bank itself in the checkout process.

What we're focused on is to make the financial products available for merchants that don't have a local entity and a local structure in Brazil, so that they can great for the consumer base the same experience that our local ecommerce player can provide.

It's another excellent question, because I think there's a lot of discussion about big data and AI and machine learning. And they go together well, big data and machine learning, but they're not the same thing.

A lot of what gets done with machine learning in our industry is applying very nonlinear methods to the same old data. In fact, everything I've talked about so far has been more intelligent use of the data you've always had, Building Better models of your business and of your product.

If you have unique data, that's great. And often we find unique datasets in finance companies, where they're doing some kind of specialty lending. You know, one of my favourites for a long time was a group that was looking at point of sale loans for cruise ship tickets.

February 24 2022, was, well, the date of a big change for Ukraine as a whole.

And for Neofin as a product, Neofin as a business, we were celebrating at the beginning of February 2022, we were celebrating becoming break even - on our own, being a fully self-funded business. On February 25 2022, we realised that we're nothing close to breakeven, because most of the customers at that time were Ukrainian financial institutions and Ukrainian banks.

On February 2024, we have received about 20 emails from our customers, saying that we're stopping our lending operations because nobody knew how long the world will last. Nobody knew how resilient the Ukrainian financial system is. After the war, I think that it's one of the most resilient financial systems, with all that it has survived, but at that time, nobody knew about that. So we just received about 20 emails from the key customers saying that they're closing their their lending operations, and they just stopped paying.

And we sat down with a team, we understood that we had a team that we were gathering all over Ukraine and all over the world, we have the little dev Centre in Kuala Lumpur, we have the little development hub in Germany, and Ukraine. These are all the financial talents that would definitely want to keep inside the company and been fully revenue funded, we would not be able to do that.

The customer sees three numbers: that's the amount they will be getting, which is, let's say they are getting a million pounds; the fee they have to pay, let's call it 10%, so they have to be £100,000; and what percentage of daily sales the lender will be taking. And let's assume 15%. So from customer's perspective, they have to pay £1.1 million pounds to the lender at the rate of 15% of daily sales.

It can take three months, it can take six months, it can take 18 months. Yeah, so the repayment term is not fixed.

Why customers love it is because they just assume they have made 85% sale and the 15% will go to lender, they don't have to worry that I have to pay 100,000 a month, and I didn't make a sale this month. And what do I do now?

Most decisioning systems rely on an opaque patchwork of siloed teams and data streams with insufficient oversight and control.

Many decisions, therefore, back to the tech line that you just mentioned, rely on guesswork and instinct. And this leads to bad decisions, and costly mistakes and disappointed customers.

This is why we founded Taktile in 2020 to change that.

Taktile has offices in New York City, London, and Berlin and serves as the backbone for risk, for pricing, and fraud teams across financial services. It enables decision authors to enrich internal signals with data from our rapidly growing data marketplace and flexibly express their desired decision logic - and all of that without actually requiring engineering support.

We are at the station in where the market is making a shift. And this is an interesting time. It's great for us to be part of that shift. And I think we're really seeing it where you know, US regulators pushing for fraud today email integration for Model Management for how do you take the unknown risk the ethical All parts have all those false positives that are being generated.

So it's a great shift where the market needs to move away from the old school: I've seen a fraud so now I think I know all fraudsters to, I've seen a good customer now I know what a good customer looks like.

That's a great conversation that we want to be part of. And we want to hopefully lead but definitely be an active member.

One of the key highlights for me is not necessarily something that you see in the impact report and on the first paragraph, but what do you do, for example, with war in Ukraine, and I remember that we had a project life funding, Mikro Capital Moldova, microfinance institution in Moldova. And I think we'd launched it on like a Sunday and Monday morning, the Dutch national news broadcaster as a headliner, will Moldova be next? Right?

That's not the greatest marketing for an investment product that you can get. And so we had an internal discussion, right? Do we pull the project off the website, because we always have to weigh investor risk versus what we think is right, the right balance for our crowd.

And we actually decided to leave it on there, but to allow all the initial investors already in there, we send them a message, we updated the project description that they could get their money out if they want, but we will keep the project on. And actually, it was one of the fastest funded projects on the platform for this company.

The paradigm of 'let's collect as much information on a customer ahead of time, try and score them, and then provide them with an unsecured product'. We just don't think that works as well as putting an asset in someone's hands, asking them to pay a small deposit. And knowing that once they have access to that smartphone device, it's actually going to improve their ability to make a living. It helps them power the hairdressing salon and helps them advertise their business on WhatsApp, you're actually improving their ability to earn a living and also then to pay back the instalments just a much more compelling and sustainable model for working in the markets where we want to have an impact.

I mean, behind this there is a very sophisticated predictive credit model and we make adjustments all the time to pricing and instalment plans, and we have a lot of investment on the connected estate IoT side. And our loan book actually has been remarkably consistent. And particularly when it looked over the last three years, despite massive disruptions, and it's also been resilient in the face of high inflation.

If you go back to the 1980s, the Space Shuttle was effectively the first freighter carrier, if you like, to take things into space. And the cost of getting just one kilo into space was around 60,000 US dollars then. So when you think about the size of these enormous satellites, which were going up into, you know, 35,000 kilometres into the sky and into a geostationary orbit, where they effectively cover the same part of the world all day round. Those are enormous costs to get those things up.

Now, what we're seeing, is clearly that the world has changed, technology has improved and Elon Musk and SpaceX, to be fair, has been a major catalyst in actually reducing the cost of access to space from that crazy $60,000 a kilo down to something closer to $6,000 per kilo.

What happened was that, when we started providing the service, we guarantee the bad debts in the service. And that's why we start actively use different kinds of analytics to develop the different kinds of scoring systems. And these scoring systems will work very fast on the fly will make the scoring on the fly. We start from the basic one, and then we start to improve it till we now use machine learning for our scoring.

The technological approach for this task grows year by year.

In the first three days we provided over 700 credits in Azerbaijan with our first operator - we were not expecting such success.

We're talking in India of about over 50 million customers. So numbers are huge.

And this is only in India we're talking about. But even here, in Canada, also, you have some microfinance, a lot of people are involved in this. And there's some very large institutions in India, which does this.