Dr. Yuchun Zong

I think that is kind of fair valuation because we are quite deep tech and we are in a very early stage, right?

So I would say that's kind of fair, but of course I would like to have the valuation even higher, but these kinds of things also, you know, it's always, if you put it too high in the later, you can get yourself into problem also.

So we try to balance this in the best way.

Yeah.

Yeah, roughly like that.

So we found it very likely by our connections and it is also

something like very specific niche vertical, that is, we know that problem pretty well.

So this is why we still really try to use this early success to figure out, to discover more markets, more similar customers.

Yeah, it is for search engine technology.

So basically use Generate TBI to automatically pass different type of documents.

Not only text image can be mixed and then combine those information together, allow user to interactive search.

So you're not just giving an image, you can even highlight which part of the image that is using this most relevant.

And this is something special we developed.

The initial data set, this is a good thing of generative AI because it can learn on the data itself.

So we use a lot of public data set.

And you know, a lot of generative AI trained on very public data sets.

Like one of these, like Cocoa and ImageNet.

A lot of public data that you can find on GitHub.

No, not really.

Okay.