Thank you, Ken. And it's a pleasure hearing you tick off those numbers. It's really was a terrific 2025, and though it actually feels like a long time ago, we should take a brief moment and enjoy it. Now that that moment has passed, let me tell you about what's gonna be happening in 2026. I'm really proud of our team coming into this year because what we have is the basis for some things that can be really really exciting. You know, in '25, we launched the Infinity platform as the first real agentic enterprise transformation platform. And we really extended our leadership position in the industry reports that matter the most. To our customers and prospects. You know, I love, if you go to our website, to have people see how Gartner and Forrester reflect on what we do and what we are doing. And being in this position where as a rule of 40 plus company, where you have the resources, we have the balance, I think we have the maturity, to go after this opportunity as we look to break the $2 billion a year threshold once again, it's really an exciting time. But it all comes down to what clients need. And, you know, I recently returned from Davos where I had dozens of conversations with senior leaders and global organizations. And they really mirror a lot of the discussions that we have all the time. Now there's lots of presentations and lots of noise even the occasional Super Bowl ad. About AGI, you know, artificial general intelligence. And how that's going to change the world in speculative perhaps dramatic ways. But in more normal settings, leaders are focused on the urgent practical questions. How do we leverage AI to reimagine our business? How to simplify. And modernize operations, and improve the customer experience? And, you know, the issue here isn't the AI models. We made some great decisions about being able to be pretty fungible in how we chose one model versus another for different settings. And, boy, that has turned out to be the absolutely right way to go about it. But that real question is not just the model. It's how and when do you use it. And I spoke about this at our last call, but it's so important. I think it's worth taking a few minutes and really going through it again. Our competition broadly is taking generative AI models and using them at runtime. Let me explain what that means. It means that when a customer or a staff member engages with whatever system is involved here, that model is reasoning there in the moment. From scratch. Trying to figure out what to do. And, you know, there are times when that's just fine. To tell you the truth. I mean, you know, when we use our blueprint technology, to rethink and reengineer and reenvision a set of complex business processes we do exactly that. We're using our real-time capabilities to engage with the designers. But if we're actually looking to do the work, we think it's a mistake, a serious mistake, to at runtime routinely go and call the model as if it's discovering what you're trying to do for the first time. Structurally. Our competition, whether it's, you know, Microsoft or Salesforce or ServiceNow, our competition rethinks the problem from scratch over and over again. And the slightly frightening thing is the models don't always come up with the same answers. Even in situations and regulated industries. Where coming up with the same answer is not just important. It is imperative. And people who have fallen or are falling into these traps some of them, I think, are starting to realize there's a problem here, a problem that Pega does not have, but a problem that is structural and endemic to the alternatives. And so you can hear the noise, and you can hear the wild claims. You can hear that LLMs can quote, you know, do it all. But the reality is the LLM will work best when used the right way. Now we've seen of late, think it's referred to as the SaaS pop up, sespocalypse. Where, you know, software companies have been really real live and obviously that's struck us as well as other firms. I think there's a lot of guilt by association here in this space. Let me share my views on that. First of all, there are definitely some software companies that are gonna die. The reality is every time there's a big technical shift, you see that sort of thing happen. I think, you know, software companies that are basically glorified spreadsheets with limited functionality. Yeah. You can do all sorts of magical things and Claude or even Copilot that enable you to go after those types of applications. But the applications we do for our clients the very, very large ones that we've historically worked with, and the more mid-market ones we've never gone down market, but the more mid-market ones that we've talked about wanting to open up as we look to scale up this business. That those companies really have processes that run them. And they want those processes to be respected. They want architectures that will be able to do reliable repeatable and our favorite word predictable, things. And authoring prompts is not a way to achieve that. Whereas building workflows that are intrinsically agenda. So what we've done is made it so that every workflow is able to run as an agent is able to call other agents from other companies, and is able to be part of a fabric that orchestrates processes across the enterprise and lets people interact conversational, less people interact in ways that leverage their whole collection of workflows. In ways that are at once innovative and predictable. And when we can explain this difference to organizations, we see lights go on. And it's very, very, very exciting. The thing about these set of differentiators is this is a structural advantage. This is not one of those things where one LLM is six weeks ahead of another. This is a difference in philosophy that goes to the very core and powerfully allows us to leverage our long, long history as a workflow model system. To be able to do what you need to do for customers, to be able to build a workflow that can run at scale that can be used through the power of AI and can incorporate and orchestrate AI in a way that is turning it over to a model is frankly a little bit freaky and unpredictable in my view here as well. Now having been able to do this for such a long time, I think the conjunction of this brand new SPIFI technology. Putting a real powerful sheen on Pega's traditional business is the sort of thing that I think a lot of customers are realizing can give them what they need and give them in a way that they can predict and that they can understand. Now I do have people ask, well, in this world in which you can generate vast amounts of code, right, where you can go to a cloud code or a codex or can, like, write programs. Who knows? Maybe that will be used to take out applications. Why is this still relevant? I'm gonna tell you exactly why it's relevant, more relevant than ever. It goes back to something that we've been saying literally for thirty years. The problem is not generating the first limit of code. Easy to do. The machines do it well. And for some problems, maybe that's all you need. But for the problems we solve for our clients, it's not just about day one. It's also about being able to go back in day 30 know what you have, be able to navigate it and figure out how I'm going to change it. How I'm going to evolve it. To use our trademark term, how are we going to build for change? We have the build for change system. Period. Well, that's a good trademark, which is nice, but we have the system, which I think is actually more important. And what people generating code have are, you know, instant legacies. And by the way, we use it too. Yes. You can create some really interesting things, when we're writing our systems. You wanna use the cogeneration. Because the world has changed in that way. But you want a structure. This is why I say a structural advantage. And that structure are libraries of workflows that enable the business to scale, predictability enable the business to operate objectively with reliability and able make make the software able to orchestrate between different agents, systems, and environment. And these are we believe, the fundamentals of what makes Pega special and quite quite different. Now I couldn't be fair without going back something I've talked about a lot. Which is I think the starting point for all of this, which is bluebird. Blueprint is the AI design engine. For the enterprise. It takes and it continues to get better, by the way, every every two weeks, there's something new. So if you haven't been on, blueprint.com and tried it, it's worth doing. It gets more and more exciting, and amazing every two weeks. Blueprint, the design agent, unleashes innovation. It really lets you describe what you want your business to be. It can go out to your website and see what you say about your market. It can go out to all of the all of the interfaces that you can upload into it so we can actually see how to hook this in to the actual systems that you have in your back office. And it allows you to have these instant and productive conversations with team members to be able to collaborate and to build out what you want the system to work. With. As I mentioned before, this has completely changed our go to market. We're having similar productive conversations with clients about how they want to see an application and know with certainty that they're gonna be able to get something that doesn't rely on PowerPoints. It allows on an experience that they can literally touch they can literally converse with. They can engage intently with it. And can do it in the first ten minutes. That we sit down with them? We're so excited about what this does, but I will tell you that my excitement is increased because this year, we've added features to enable not just our intellectual property, to be put into something called a vector database and incorporated in Blueprint, but to enable 10 of our best partners to be able to put their intellectual property their proprietary intellectual property, available only to them into BLUEPRINT. So when those partners are with one of their clients, they can use Blueprint as a vehicle to sell their projects. With their IP. And, you know, this is very new. But I think this is gonna be a tremendous opportunity for us to change the way we go to market by really leveraging the partners. And I'll tell you that still early stages, but these partners are enormously excited. You can see an interview with me and Ravi Kumar. The CEO of Cognizant. In which he directs his teams not just the Pega teams, but the company in general. To go and understand and use this technology. And I think Blueprint offers this chance that I have not seen before in the my history of attacker. And we've seen it turn into real results. For example, Proximus, which is the leading telecom provider in Belgium, recently used Blueprint to redesign a critical application in one day and actually get it into full production on Pega Cloud to four months. And this is so much more. Than they would have ever been able to do before. So exciting here as well. So, look, we love the term vibe coding. I don't know if it's gonna stick or not, but we're adding vibe features to Blueprint. To make it work. But all of this is much more than just five coding sort of a personal app to do something for you. This is about building enterprise systems to enterprise standards. With enterprise interfaces and reliability and the capabilities that you need to be able to run your business on it. And of course, run your business reliably and predictably. Now in addition to the apps that customers wanna have, we think that this is also a great chance to get rid of apps that customers wish they didn't have. And this is where you know, we made a recent acquisition, and this is where we built technology and we have key partnerships. With companies like Accenture and Wipro to be able to analyze existing legacy systems rethink with AI. Put them into blueprint, allow collaboration and then put them on this fast track. The legacy modernization. The thing I will tell you is it's not just faster. It's better. So I think being able to do this in conjunction with our partners is gonna allow us to accelerate our transformation. And going to allow us to achieve a whole new level of scale. And I'm really excited with the senior executives who I'm at Davos who love this stuff, actually. And they love it because if you go on to Blueprint, and you are signed on as one of these partners, we actually put their logo. We give them full credit for their IP contributing to this picture. And it's something that the bank can use in their selling motion. As well. So I think that the opportunity here out of Blueprint and where Blueprint is and will be going. Just continues to open new doors for us. So look, 2025 proved that disciplined innovation can win. And, you know, the market forces that are there, there's a lot of confusion. But the truth is the truth. Enterprises really wanna transform. They really wanna save money. They wanna do a better job for their customers. And work for us. Are at the heart of how enterprises work. Our Shutter Cloud Infinity platform was built for this moment, and predictable AI gives customers the advantages of the AI, but also really gives them the predictability of reliability so that we don't have to worry about a lot of things that I see other people agonizing about. In '26, our focus remains clear. Helping customers move from experimentation to execution, and move to outcomes from talk. And I am super excited by what I'm seeing. Pega is built for this era. We are built for change. And we are excited for what's next. Krista, you can open up the line for questions.