Well, thank you for joining the commercial midyear update. My name is Brian Sutherland. I'm vice President of commercial here at Yardi. This is the first, um, update that we've done on video, and so super excited, uh, to be shooting that. Also excited to be back in Santa Barbara. Uh, I haven't been here for quite some time. Been on the road for about the last 12 weeks, uh, going to various Yardi clients, doing a number of Yardi events, of the events, the executive briefings. Those were quite busy, especially in the Canadian market. We hit Vancouver, we hit Montreal, we hit Toronto. All fantastic. It was great to see the Canadian clients up there and share our technology roadmap. Uh, from there I went down to New York City and actually spent a couple weeks in New York visiting clients. Had some nice time over the weekend as well, hitting the high line. Did a little trip out to Brooklyn as well. And then I also went to my first time actually going to what we call a executive seminar. And that seminar is really brought together with our mid-market clients. And so that's run by my mid-market, uh, manager and director here, uh, in the us And they did a fantastic job really sharing the Yardi, uh, roadmap at that event. And then finally, I was down in Nashville, Tennessee. I joined our first, what we call executive summit. That varies a little bit different than the executive briefing. And the reason why is we really bring in all business units. And so if you look at the Yardi representation at that event, there was senior housing, there was affordable, there was PHA, there was multifamily, there was commercial. And then we did a combined general session. And that general session was really focused on artificial intelligence. And, and that was led up by je, uh, Rao as well as Rob Teal, our presidents, uh, here at Yardi. Uh, from there, uh, just actually got back from Savannah, Georgia where we were at. RealCom RealCom, if you're not familiar, is an event that's really a technology conference around real estate and, uh, a lot of talk, a lot of chatter around ai and you already had a booth and had the pleasure of meeting with a lot of our clients and prospects at that event. In terms of our focus on a number of these events, it was really around our Voyager eight platform. Uh, many of you know that, uh, over the last, uh, 18 months or so, we've been rolling out clients onto Voyager eight, really upgrading them from Voyager seven s to Voyager eight. And I'd say less of an upgrade. It's more of a, um, you know, getting, uh, end users trained on the platform. There's not an upgrade process, if you will, and the feedback has really been fantastic. We have about 1500 commercial clients now that are actively using, uh, the Voyager eight platform. Uh, and the real draw to Voyager eight is it's, it's intuitive design. The dashboards are very easy to use. We're also trying to really open up the, the platform to various end users. And so maybe it's asset managers or maybe it's executives that weren't hitting Voyager before, and now they can go in, they can get information on their properties, they can see a rollup of their tenants. And then for the folks that are on the finance team or on property management, we've really kind of redefined the screens and made things easier for them as well. And those would be the folks that are doing general entries or those, you know, folks that are managing, you know, customers in the system. There's a ton of new capability to in, in Voyager eight. Uh, a few things that the clients are excited about that I wanted to hit on. One is, uh, sublease capabilities. So we're doing more around subleases, more around reporting. That's of course in reaction to what's going on in the market. Uh, we have, uh, bad debt, we have a collections dashboard. Those are new features that were not in Voyager seven s. And then I think another really highly sought out feature is tenant, COI dashboards. So really looking at your tenants, you can validate their insurance through screens that are in there. You can set up your liability limits, et cetera, and do it in a very intuitive way. Many of our clients are also leveraging our full service offering around that. By the way, another great feature that just release is the period close dashboard. And that's really around workflow, around governance, around the period close process. And so whe whether it's a month end, a quarter end process, there's, uh, various steps and stakeholders that may be involved in that. And that period close dashboard really helps our clients manage that process quickly and easily and really get them even off third party systems where they might be doing that process outside of Yardi. Beyond that, I would say hands down, the most exciting thing about Voyager eight is that it enables our virtuoso artificial intelligence platform. There's been a ton of focus organizationally around artificial intelligence, uh, and there's been a tremendous round of focus really developing our roadmap and really where artificial intelligence is gonna really land within our technology stack, really hopefully enabling you guys to roll out artificial intelligence. Uh, the three areas and three pillars of artificial intelligence that I like to describe, uh, that first one is Yardi, uh, embedded applications that have artificial intelligence in them. And so these are applications, uh, that might be sold, uh, or applications that might be in place today. Applications like chat iq where we now have, uh, 1.5 million, uh, units on. And that's really enabling prospects to go onto residential websites, to uh, ask chat bots to do, uh, specific tasks, to get information on availabilities, et cetera. And we've embedded a large language model around that, and it's just getting fantastic feedback. We have, uh, other applications that are being improved with artificial intelligence. And so an example of that would be Yardi Aspire, and that's our learning management platform. With learning management, you need to develop course content, uh, and the course content needs to be divided into various slides that end users can go through, they can test out of et cetera. And many times the folks that are creating that content might have things like write Writer's block where they're trying to think about what to write, and maybe it's, you know, on health and safety at the property. And, um, they get writer's block, they now can prompt the system, uh, to help create that specific course content. And then that large language model creates that content. You can flip it to a different language quickly as well using a large language model. And then within a click of a button, you can actually create the course itself. And so divides that content that we got, uh, into actual course slides, and then from there you can create, uh, a test, et cetera for that content. So that's within the, the Aspire platform. On the commercial side, I think what we're most excited about is what we call Smart Lease. And we know you all are getting your leases in the platform a multitude of ways. Sometimes it's fat fingering the information into the platform. Sometimes you're hiring a third party consultant, or you might have a technology in place to do that. Today we've been really leveraging, uh, uh, what we call a large language model for that as well. Smart Lease is currently in beta, and it's that lease abstraction tool. So what happens is you can upload your leases into the platform, you can identify areas of that lease that you want to abstract into the Voyager platform. So maybe what clauses are important to you, what options are important to you, rent, rent, uh, escalations, et cetera. The platform will also give you a confidence rating. And so we we're pulling rent in and we're pulling this clause in. How confident are we that we pulled that information accurately because, you know, there could be a five page lease, or it could be a 500 page lease, or it could be multiple types of lawyers that were involved in that highly negotiated areas that might be very custom to that specific lease doc, but we really feel like we're, we're nailing it. One thing I think that really separates us is our head of development for Smart Lease is our head of development for commercial. So all the information that you're trying to find on that lease can be abstracted right into the Voyager platform. The other thing that we're doing, which I think separates us from the competition is document tagging. And so each element that we're abstracting, it's then tagged on the lease document. So that means you're in Voyager, you can go to a specific clause, for example, click on it, it will actually bring up that lease document and your user end user can then look at that lease from the platform. So again, super excited around that. So again, that's really our first pillar when we're looking at AI is embedded, uh, AI within our applications. The second pillar that we have is called Virtuoso Assistant. The initial goal is that, uh, with that application was having, having end users really prompt the system and AI to really answer all those questions. We've shifted gears a little bit in, in terms of our approach, and that's really because we went out to Beta, we worked with about a hundred clients and we got their feedback. And what we found is that we, uh, have this chat that's in the system when end users were prompting the system, AI was, uh, able to handle about 65% of the questions, uh, which really isn't sufficient because we make sure that the end users that are prompting the system that are asking, so, you know, something in the Voyager platform or saying May another Yardi application, we wanna get a hundred percent. And so what we're doing is what we call live agent handoff. And so how it works is an end user would be, uh, in the Voyager platform, for example, prompting the system, asking questions, getting help, uh, and AI would be resolving most of those, uh, and again, 65% of the time. Uh, it's handling those, uh, effectively, but at some point a human and what we call, what I've been, been coining as, hi, human intelligence needs to get involved. So there's that handshake between the agent, uh, uh, AI and the agent, uh, real life Yardi employee that would then pick up that chat. And so, uh, that gives us close to a hundred percent accuracy in terms of really answering those questions using AI to do so. And uh, again, that's what we call Virtuoso Assistant. And that second pillar, the third pillar I described is what we call Yardi Composer. And I would say this is by far what I'm most excited about. 'cause what it really does is it allows Yardi to create what we call agents to help your end users with specific task. And so an agent, for example, could, um, go through and help your AP team approve invoices based upon a set of criteria. So really narrow tasks that an agent might help, uh, your end user with, or, uh, it might do something like help, um, someone that is in marketing, help them effectively market the websites and crawl your website, make recommendations in terms of keywords or tri, um, modifying your meta tags to get better organic search listings. And again, rather than having a human go do that, the the chat, uh, I I'm sorry, the AI agent would go do that task, uh, on behalf of that, that human. But again, humans working with AI to do specific tasks within the platform. The nice thing about these agents is they have very, uh, uh, narrow, um, objectives. And that allows, uh, AI to be developed very quickly. We're not trying to solve all the world's problems. We're trying to have agents do a very specific task. Uh, and so what we're doing with Composer is we are understanding, understand that Yardi may not be able to build all the agents you need. Yardi may not be able to build the agents that would be specific to your workflow. So what we've done is we have opened this up to third party consultants. We're opening up our APIs as well, as well as kind of a coding database for your teams as well. So if you have technical folks on, on your side, they have drag and drop functionality with our AIS and your database to create these agents on the fly and can create these agents to do tasks that are very specific to your organization. Oregon have a third party consultant come in, and so there's kind of gonna be the Yardi agents that we designed that we put out. There's gonna be consultant built agents, and then your team will have capabilities around creating your own proprietary agents. And so super excited around that. There'll also be a marketplace where you can go in and you can see what agents have already been created. Then you can procure those, you can set 'em up, wire 'em up into your system. And so the capabilities are gonna be endless. And I think over the next several months, we're gonna see a lot of advancements. Speaking of the next several months, what's coming up is our YAS conference. Our goal is really to build about 50 of these agents to showcase at yas, and we're gonna be making a big splash around Guardi Virtuoso, assistant, Yardi Virtuoso composer. If you don't know the dates of Yaz, it's September 3rd through fifth, uh, in San Diego. So thousands of clients come to this event, hundreds of consultants, uh, hundreds of folks on the Yardi side as well. And we'll be making a big splash around Virtuoso. We'll also be sharing other advancements from a technology perspective to make sure your teams are up to speed in terms of where we're going across Yardi or specific to, uh, the commercial product stack. So that's my update. Uh, this again is our first ever, uh, mid-year commercial update, and we're looking forward to seeing you at the next one.