Yeah. I think the stickiness is essentially a function of how we have designed the data business. So as I mentioned a second ago, you go back, we started licensing data maybe, I do not know, roughly 6 or 7 years ago, something like that. And back then, you would you would be like, oh, I want 1 thousand files of cancer patients that look like this, and we would de identify that data, and then you would download that data in your environment. And so we did not know what you were doing with the data. We did not know how you were, you know, how. what of value you were getting from it. We did not. We would hope that you would call back 6 months later, a year later, want more data, but it was very transactional. Over time, we basically said, look, we built this very large environment. You know, we have something like 700 software engineers that have been working here for almost a decade. So we built this very large multimodal technology environment to interrogate this kind of data. We started saying to our clients, why do not you do that work in our environment? it is it is just we have invested way more in it than you have. And so people began doing more and more of their analytic work, generating insights from the data in our Lens platform. And then over time, we move to this kind of concept of, okay. We will actually put all the data in Lens, You can build cohorts of interest in Lens, pull down the data--the exact data you want, the exact patients you want, which typically have criteria that would almost match a trial. On inclusion exclusion criteria. We are going, like, deep characteristics of a cohort. Pull that data into a workspace within our environment, build, you know, kind of either do your analytics or build models, and then you are off and running. And, obviously, that latter part of building models is new. You used to be able to just kind of do analytics and then kind of take the analytics out or download the files directly in your own environment. But now we are connecting Lens to, you know, 8 GPUs, 16 GPUs, 32 GPUs, some kind of cluster like that. Typically denominations of 8. Where clients are signing up for, like, 3 years of 32 GPUs. Or 3 years of 64 GPUs. And they will build their building models in our environment that either have to stay in our environment or you pay an egress free to pull them out. And so it is gone from, like, not sticky to crazy sticky and so we just. You know, in light of how people are using our data today, we just do not know how they would unmask it off unless somebody else builds the same set of products we have built, which we do not see.