Thanks very much.

I think that would be a really long time. The whole issue of machine translation and being able to make our system work in a number of key languages to ensure as global coverage as possible is definitely going to be an issue that we’re going to have to address, ...

That will be fantastic for the system we’re building, which would be great for Taiwan, but in the future many countries just as Mozambique expecting [laughs] their governments to translate the regulation to English is probably...

There’s a point there, but the whole language issue is a key thing that we need to work out, and we have decided to focus on English language, initially, because there’s about a hundred countries that provide all of their regulation and law in English.

Sorry to interrupt you.

That’s where we started.

We spent so much time trying to work out who’s doing what in which market, and how that’s evolving, and how businesses are currently changing its different products, and things like this. It’s a pain point I think we’ve seen in turn.

Assuming that business wants to describe what it does on its website, you can use that language and then categorize them into the different activities.

I think what’s interesting with looking at this from the regulatory side, something that I’m really keen to explore in 2019 is how we can use the same types of techniques for entity mapping to see who’s in the market, looking at, say, a techonomy of different activities.

Ultimately, you want to be able to enable that to be updated automatically to enable people to keep up to speed with regulatory change a lot more easily than is currently possible.

That will allow users, both fintech firms, financial service firms, but also regulators and policy makers, to have a central depository of regulation at one level, but then be able to compare the differences between different countries on another level.

Going through that process will require basically grabbing all of the regulation from every country, every central bank and securities organization, and classifying it into the different areas of regulation to feed into our database.

It’s trying to look at the common features of regulation in different countries, and using computers to identify those common features to enable comparison between them. To do that, we’re starting in a specific area of regulation, that’s anti-money-laundering, but then we want to roll it out to lots of ...

Mozambique.

They’re the head of this. That’s funded by their own accounts.

There’s interesting organization, Big Society Capital.