Robin Mellstrand

I had no money when I started the company.

So we do search and navigation for retailers around the world, and we basically increase the conversions and revenue online, and they pay us via a subscription model.

So on average, we have 30K per year, US dollars.

Yeah, more or less, and then you can buy depending on which features you choose.

If you just do search and if you have the whole category structure being delivered by us, you pay a bit differently.

But yeah, more or less, it's mostly volume.

Yeah, sure.

We work with...

We work with Office Depot here in the Nordics, as well as the largest grocery chains.

And if you go to Co-op, which is a big grocery chain in the Nordics, other parts of the world as well, you go search for Orange.

Like a human has a very easy time figuring out what orange means, right?

But for a computer, that is exceptionally hard.

Orange, it could be a fruit, a taste, a color, or a telecom operator in France, right?

So there's big ambiguity to that word.

What do you actually mean?

A human figures out instantly that if you're in a food store, you're asking for orange.

In that context, you obviously mean the fruit.

But for a computer, that's much harder to do that automatically.

So a lot of search implementations today is actually done with a lot of manual work, adding in custom sorting, adding in synonyms, adding in redirects to the right content pages.

So basically today is the truth that if you want to put the most time