Andrea Volpini

Right.

So we build knowledge graphs and these knowledge graphs are designed to optimize content so that search engine can understand what this content is about, get more users.

And then we're starting to use this knowledge graph to use generative AI alongside with it.

And that's the exciting part.

Right.

I mean, let's take Ray-Ban.

Okay.

They have product description and they've been using for over a year now WearLift to build a knowledge graph and then fine tune a model that can create a product description for every single variant, not just the main model, but every single variant with the exact tone of voice that Ray-Ban has.

And by doing that, they're getting significant amount of traffic.

And that means an increase of the revenue around 25%.

That's correct.

That's correct.

And we build an ontology to describe how sunglasses is made of, what is the purpose.

And using this ontology, we can create better content.

So better data equals better content.

And we'll be fusing the knowledge graph alongside with the language model in order to provide better quality, better accuracy, better validation, prevent hallucination.

And this has changed the business this year.

No, really.

I mean, we have refocused heavily on the enterprise clients.

I mean, today is an enterprise SEO platform.