Soren Monk Hansen

Please look at my desktop.

And Aki will run through these destinations, find relevant documents, and then label them in uniform taxonomies by actually producing its own label using machine learning by analyzing every last syllable of the document.

So we don't care whether the document is called Nathan's cool document.

If it's in fact an employment agreement, we'll read every last syllable and tell you what it is.

So an average user per user, you pay about 40 days per month.

That corresponds to 6.25 US dollars per month.

Usually they're buying in between 10 and 20 seats.

We're pretty early stage right now in terms of putting product in market.

So we just launched our first paid module.

And right now our main focus is actually user engagement and proving a willingness to pay.

Rather than proving a certain amount, we want to prove that people are willing to pay for this service.

And we'd rather focus on making them fall in love and engage with the product than right now making them pay more.

Even at the end of the day, we obviously want them to pay.

So actually, this is built on top of consultancy.

Me, myself, I'm a lawyer, so I had no obvious way into tech.

But I just saw that the companies we helped at the law firm I used to work with, documents were a huge mess.

So we wanted to do something about it.

We just thought we had to go out of the traditional way of a law firm to help this out.

So we started a consultancy, a document handling consultancy.

And what we saw, that was still close to, it was 99%