Ara Kharazian

We did.

Look, when DeepSeek first came onto the scene, now about a year ago, maybe a little bit over, we did see a spike in adoption for DeepSeek, but it never hit even 1% of firms on the platform.

Now, we keep it in this tracker because I think it's helpful context for people, though there is a case to say we should remove it at this point.

But DeepSeq is not the only open source or cheaper model available out there.

So in future versions of Ramp AI Index, we're going to expand, though, to track adoption of a bunch of other cheaper models that are available on the market.

And even if it's open source, you know, you might still be paying for it in some way in the cloud implementation of it.

That's something exactly what you might get from like an open router, for example.

So DeepSeq is a tricky case, though, because it may be cheap.

But even if you are, no one wants to use DeepSeq

For security purposes, even if you're locally hosting it, there's just this perception around it, particularly if you're building a product that appeals to businesses or consumers.

And there are other options available at this point.

So I don't really see DeepSeek gaining adoption very quickly, ever.

Yeah, thank you.

And what about Google's Gemini model?

I mean, the orange line is quite low on this chart.

Is today's news going to change that, you think?

Google's underrated, I'll admit, because I'll point out one of the features of our research here is that we only track paid adoption.

So there are a lot of firms that are using Google, but they're using it through Google Workspace, which integrates Gemini for free.

That's what we do.

Exactly.