UiPath, Inc.

Q1 2024 Earnings Conference Call


spk14: Good afternoon and welcome to the UiPath first quarter 2024 earnings conference call. At this time all participants are in a listen only mode. A question and answer session will follow the formal presentation. If anyone should require operator assistance during the conference, please press star zero on your telephone keypad. Please note that this conference is being recorded. I will now turn the conference over to our host, Kelsey Turcotte, Senior Vice President Investor Relations. Thank you. You may begin.
spk01: Good afternoon and thank you for joining us today to review UiPath first quarter fiscal 2024 financial results, which we announced in our earnings press release issued after the close of the market today. On the call with me are Daniel Dines, UiPath's co-founder and co-chief executive officer, Rob Entlin, Co-Chief Executive Officer, and Ashim Gupta, Chief Financial Officer. Rob will start the discussion and then turn the call over to Daniel. After that Ashim will review our results and provide guidance. Then we'll open the call for questions. Our earnings press release and financial supplemental materials are posted on the UiPath Investor Relations website, .UiPath.com. These materials include gap to non-gap reconciliations. We will be discussing non-gap metrics on today's call. This afternoon's call includes forward-looking statements about our ability to drive growth and operational efficiency and our financial guidance for the fiscal second quarter and full year 2024. Actual results may differ materially from those expressed in the forward-looking statements due to many factors and therefore investors should not place undue reliance on these statements. For a discussion of the material risks and uncertainties that could affect our actual results, please refer to our annual report on Form 10-K for the year ended January 31, 2023 and our other reports filed with the SEC, including our quarterly report on Form 10-Q for the period ended April 30, 2023 to be filed with the SEC. Forward-looking statements made on this call reflect our views as of today. We undertake no obligation to update them. I would like to highlight that this webcast is being accompanied by slides which, this quarter, includes an embedded AI demonstration video. We will post the slides and a copy of our prepared comments to our investor relations website immediately following the conclusion of this call. Now I'd like to hand the call over to Rob.
spk10: Thank you, Kelsey, and good afternoon, everyone. Thank you for joining us. As always, I want to take a moment to thank our team and partners for everything you do to make UiPaths successful and our customers for placing their trust in us. It was a good start to the fiscal year with first quarter results reflecting our commitment to driving growth at scale coupled with increasing profitability and cash flow. While the broader environment continues to be variable, the level of engagement with aspects and momentum in our large customers gives us confidence in the strategic role automation will continue to play in digital transformation. Turning to the numbers, we entered the quarter with ARR of $1.249 billion, an increase of 28%, driven by net new ARR of $45 million. Excluding FX headwind of $6 million, net new ARR totalled $51 million. First quarter revenue was $290 million. Excluding the impact of foreign exchange, revenue was $297 million and grew 21% year over year. Non-GAAP operating margin increased from negative 4% in the first quarter of last year to positive 17% in the first quarter of this year. A significant acceleration of our path to the 20% plus long-term operating target we laid out at InvestiDate. I am very pleased with the progress we are making to better align the team to customer requirements and the resulting efficiency improvements. Non-GAAP adjusted free cash flow was the first quarter record of $73 million, the first time we entered the quarter. We entered the quarter with approximately 10,850 customers, reflecting our focus on acquiring customers with a high propensity to invest in automation. New customers included Liberty Bank, New York City Health and Hospitals, Vermont Federal Credit Union, and Nardia Benefit Solutions. And we are seeing good momentum in our large customers, customers with $1 million or more in ARR increased 43% year over year to 240. While customers with $100,000 or more in ARR increased to approximately 1,860. Customers choose UiPath because of our market leading technology and breadth of platform capabilities, which allow for stack consolidation, vendor rationalization and accelerate ROI, helping them achieve speed and agility while driving efficiency and improving employee and customer experiences. For example, Colgate-Palmolive with more than 70 automations across various departments, they expanded to broader platform capabilities in the first quarter as they migrate to an integrated platform, consolidate vendor spend and utilize our governance capabilities. And here is Silica, which started the UiPath journey with TestSuite, expanded to additional platform capabilities as they look to improve cost saving, productivity and employee and customer experiences. It has been a busy start to this fiscal year. We launched a new segmentation model, nearly doubled the number of solution accelerators, added SAP solution accelerators to complement our partnership, hosted our annual AI summit for a record number of participants, introduced our next platform release, 2023.4, and our several strategic partnerships strengthened our board and management teams. We also recently hosted two incredible events, our first ever UiPath summit, an exclusive event for our digital C-suite and forward-thinking customers and our UiPath together public sector event in Washington. There were two clear takeaways. A platform is driving meaningful ROI for our customers and they want to understand how they can leverage UiPath's platform to deliver the power of generative AI responsibly and at scale. Since inception, our platform has been infused with AI. We offer our customers -in-class models, read communications, understand documents, and see screens and interfaces. Coupled with this next wave of generative AI, we can help customers make automation even more accessible across their employees and significantly expand use cases. Equally as important, our automation platform provides the guarantees, guardrails, and governance our customers require to deliver generative AI safely. We are investing. Like the market, we are moving fast, which Daniel will talk about in a few minutes. AI is not new to UiPath. We are delivering real value to our customers today. During the quarter, Grupo Bocho Carillo, a UiPath customer since 2022, decided to replace the competitor and migrate the entire automation program to us with a strategic focus on AI as they work to accelerate development and deliver better governance. They also purchased document understanding to process invoices and plan to roll it out across other use cases. Another great example is Hyundai Capital, which is innovating the car buying experience for Genesis, Hyundai, and Kia dealerships and their customers by leveraging document understanding to streamline the loan and lease process. Reducing the time takes the fund loan, translates into a better experience for both the dealership and the customer. And with C-level sponsorship, they are exploring additional opportunities to further streamline their organization and drive efficiencies to the bottom line using AI and UiPath automation. Our partner ecosystem also continues to play a critical role in our success. During the quarter, we expanded our partnership with Snowflake, launching a pre-built solution for their manufacturing data cloud to instantly connect data to business processes without using complex code. These technical integrations enhance our customers' ability to seamlessly integrate across applications. In addition, -to-market partners expand our reach to customers in a scalable and cost-effective manner. A great example is Kion, a German multinational and UiPath customer since 2019. Working with PWC, Kion continues to scale across the organization as they look to incorporate AI and test suite into the automation program. We also recently announced a partnership with T-Systems, a trusted cloud provider as classified by the German Federal Ministry for Economic Affairs and Energy to deliver our -to-end platform at scale to public sector organizations and large enterprises across Germany, Austria, and Switzerland. As part of this partnership, we plan to work with T-Systems to develop industry specific offerings for joint customers. One of the first of these is Deutschland Ticket, where T-Systems and UiPath anticipate helping them manage demand for the new flat rate transport tickets in Germany. And finally, we announced an expansion of our partnership with SAP to jointly offer automation capabilities to customers. This partnership will help enterprises build a clean core on S400 cloud, which complements SAP build process automation, enabling organizations to improve efficiency and productivity across SAP and non-SAP workloads. We are pleased to be the premier sponsor for all three of SAP's SAFIRE events in Orlando, Barcelona, and Sao Paulo. And tomorrow I will join the SAP team on stage at SAFIRE Barcelona to underscore the partnership we now have in place. Our partners are also very excited about the announcement. As I said, Dean Weiss, America's vice chair, told us that having two alliances within EY's ecosystem that leverage the strength of UiPath automation platforms to help clients drive even more value from the SAP investment makes a lot of strategic sense. There is a significant amount of inbound interest, and I'm convinced that together we can help customers achieve game-changing results. In summary,
spk07: I am pleased
spk10: with the progress we have made on our strategic initiatives, which are raising our profile and relevancy not only with our customers, but also with -to-market and technical partners. That being said, we are mindful of ongoing macroeconomic variability, and we have more work to do extending our market leadership, helping customers get the most out of automation, and continuing to improve our execution. And with that, I'll turn the call over to Daniel.
spk08: Daniel, thank you. Thanks, Rob. Good afternoon, everyone. We are very excited to have introduced our newest platform release, 2023.4, earlier this month. This release further accelerates our customers' ability to discover, automate, and operate at scale, and continues to expand our leadership position in AI and API automation. Our customers are very excited about this new release, and our plans to use generative AI to further increase adoption of our platform. We believe that generative AI will be a very important part of our enterprise AI foundation, along with domain-specific AI and automation. And it is our platform that will allow us to deliver in a secure and governed manner that enterprise customers require. Generative AI is very powerful, but by itself has a limited scope of capabilities in the enterprise. It can read and generate text, but not take action. AI without automation is like a brain without a body. However, when AI is with an enterprise automation platform, it opens a whole new set of use cases and opportunities for customers. Our software robots can already read screens and documents, and now with generative AI, they can answer customer emails, create summaries of complex documents, and respond to support questions. Customers can use these new generative skills to extend existing automations in areas such as customer service and imagine entirely new ones. We also believe generative AI will democratize access to our platform, making it easier for both knowledge workers and developers to create automations using just natural language descriptions. Generative AI will outskill every employee. One of our biggest competitive advantages in leveraging the power of generative AI is our long-time investment in AI computer vision. With computer vision, we understand screens from the legacy to modern applications, and our knowledge of screens continues to grow exponentially with more than two million calls every day to our AI computer vision service in the UiPath automation cloud. We are uniquely able to combine this understanding of screens with the cognitive intelligence of generative AI to watch work happen, understand what's being done, and automate it in our enterprise-ready platform. Let me show you a quick video of a research project codenamed Wingman that we are currently working on, which illustrates this. If you are not on the webcast, please go to our Investor Relations website for the link. So this is how we expect Project Wingman will work. Consider someone who needs to file an expense report. They can start by simply typing, create an expense report, and email my manager. Using generative AI, the robot understands what the user is trying to do and makes a high-level plan. With UiPath, -the-art computer vision, the robot knows what it sees on the screen and can determine what needs to be done next. The robot will download files, launch applications, click buttons, and even identify the correct fields and type into the form. Step by step, the robot will create a workflow that completes the plan. Looking at the workflow, you can see that the robot can also use generative AI to compose an email with contacts from the expense report and use API automation to send it. This shows how generative AI and computer vision can create robust workflows without writing any code. As this technology matures from research into products, we expect to extend the capabilities beyond developers to knowledge workers who will be able to simply describe tasks in natural language and have them executed directly by our platform. At our 4x4 user conference in the fall of 2021, I described the potential of generative AI using the phrase semantic automation. I am very pleased to report that our first offering in this space, Cribboard AI, is now in preview. Cribboard AI intelligently transfers data between documents, spreadsheets, and apps, understanding the content and automatically inserting the data into the right places. This use case has the power to transfer how people work and is made possible by the depth of our expertise in combining AI and computer vision, our own domain-specific models, and generative AI. Generative AI also creates a compelling opportunity in automating manual tests. Today, application testing often still requires manual intervention, which makes it slow, unresponsive, and highly repetitive. The opportunity for a combination of generative AI and computer vision prompted through natural language descriptions and delivered through our platform has the potential to meaningfully transform the testing market, and we are well positioned to execute here. Generative AI represents a massive opportunity for UiPath, and I am working closely with the team and our customers as we infuse it across our platform and realize its potential. This is why I'm so excited to welcome Karen Ann Torrell to our board of directors as a former practitioner with C-level technology roles at GSK, Walmart, Baxter International, and Daimler Chrysler. Karen Ann brings a wealth of experience and the customer perspective, which I believe will benefit the entire company. Before I close and hand the call over to a ship, I would like to thank everyone who has contributed to UiPath's success. We remain focused on building an enduring rule of 40 company and are pleased that our first quarter represents another step on that journey. With that, I will turn it over to a ship.
spk11: Thank you, Daniel, and good afternoon, everyone. Unless otherwise indicated, I'll be discussing results on a non-GAAP basis, and all growth rates are year over year. I also want to note that since we price and sell in local currency, fluctuations in FX rates impact results. We continue to execute against our strategic imperatives of balanced growth and profitability, which resulted in first quarter revenue outperformance, as well as record non-GAAP operating margin and non-GAAP adjusted free cash flow. As a result, we are meaningfully increasing both our full year non-GAAP operating income and non-GAAP adjusted free cash flow outlook this afternoon. Turning to the first quarter, ARR totaled $1.249 billion, an increase of 28%, driven by net new ARR of $45 million. Excluding the FX headwind of $6 million, net new ARR totaled $51 million. We ended the quarter with approximately 10,850 customers, including great new logos like ASDA, Jubilant Life Sciences, Robert Weed Corporation, Task Rabbit, and T&L. As Rob mentioned, we saw strength in large customers as they continue to increase their UiPath footprint with broader platform adoption and increased consumption. A great example is Tetra Pak, a customer since 2018 who continues to expand on our platform, adding additional products this quarter like Document Understanding, Action Center, and Automation Hub as they migrate to the cloud. Our strategy is to focus on customers with higher propensity to invest in automation as we transition our smaller accounts to a distribution channel. AI is also a central part of our strategy and is infused across our platform. A great example is Canon USA. Working with Greenlight Consulting, Canon has built an automation program that leverages Document Understanding and customized machine learning models to process over 5,000 invoices each month. Automation gives them greater accuracy and efficiency and requires far less need for human interaction, saving their employees over 6,000 hours of manual work annually. Our dollar-based net retention rate for the quarter was 122%. Normalizing for FX, our dollar-based net retention rate was 127%. Dollar-based gross retention of 97% continues to be best in class. Revenue grew to $290 million. Normalizing for the FX headwind of approximately $7 million, revenue grew 21%. Remaining performance obligations increased to $904 million, up 34% year over year. FX adjusted, RPO was $891 million. Current RPO increased to $559 million. Turning to expenses, we delivered a strong first quarter total gross margin of 87%. Software gross margin was 93%. First quarter operating expenses were $205 million, reflecting disciplined cost control. We continue to find opportunities to optimize the business, which allows us to both reinvest in growth and increase profitability. We have built a strong foundation to scale the company and will continue to leverage automation and improve operational excellence to grow the business efficiently. Before I move on, please note the year over year decrease in G&A reflects both cost efficiencies as well as a reallocation of software expense to other line items. Gap operating loss of $46 million included $85 million of stock-based compensation expense. Non-GAP operating income was $48 million, resulting in a record first quarter operating margin of 17%. The combination of revenue outperformance and disciplined expense management resulted in record first quarter non-GAP adjusted free cash flow of $73 million. I am very pleased with this achievement and we expect to be non-GAP adjusted free cash flow positive every quarter for the remainder of the year. We also have a strong balance sheet, which is an important asset in the current operating environment, with $1.8 billion in cash, cash equivalents and marketable securities and no debt. Now, let me turn to guidance, which assumes the overall macroeconomic environment continues to be variable, including in North America, and that we are in the midst of executing our new -to-market strategy, which includes account segmentation and the transition of smaller customers to distribution partners. For the fiscal second quarter 2024, we expect ARR in the range of $1.301 billion to $1.306 billion, revenue in the range of $279 million to $284 million, non-GAP operating income to be approximately $10 million, and we expect second quarter basic share count to be approximately $563 million. For the fiscal full year 2024, we expect ARR in the range of $1.427 billion to $1.432 billion, revenue in the range of $1.267 billion to $1.272 billion, non-GAP operating income to be approximately $168 million. This translates to a non-GAP operating margin of 13%, a 700 basis point increase year over year. Before I close, I want to leave you a few final details. First, given our first quarter gross margin outperformance, we now expect gross margin for fiscal year 2024 to be 85%. And finally, we expect fiscal year 2024 non-GAP adjusted free cash flow of more than $160 million or 13% adjusted free cash flow margin. Looking forward, the team remains focused on delivering growth at scale in a disciplined manner, which allows us to both invest in extending our market leadership while expanding operating margin and increasing adjusted free cash flow. Thank you for joining us today, and we look forward to speaking with many of you during the quarter. With that, I will now turn the call over to the operator. Operator, please pull for questions.
spk14: Thank you, and ladies and gentlemen, at this time we will conduct our question and answer session. If you would like to ask a question, please press star one on your telephone keypad. A confirmation tone will indicate that your line is in the question queue. You may press star two on your telephone keypad to remove yourself from the queue. For participants using speaker equipment, it may be necessary to pick up your handset before pressing the star keys. Once again, to ask a question, press star one on your telephone keypad. We will pause for a moment as we pull for questions. Thank you. Our first question comes from Terry Tillman with Truis Securities. Please state your question.
spk13: Hey, this is Joe Mirazon for Terry. Thanks for taking the questions. I appreciate it. So you recently announced your new business automation platform with SAP. Sounds like a deal to us. Can you explain what drove the decision to make this integration and what you think the opportunity is here?
spk10: Hey, Terry, this is Robert. Thank you for the question. I'm here in Barcelona with many of SAP's customers and it's a truly exciting event for us. We have a few sponsors in both Orlando, Barcelona and South Bala. They said in terms of a customer, a large global apparel footwear company this morning in Barcelona mentioned why the partnership for them is important. And it's basically around the ability to migrate to S4HANA, drive a clean core, accelerate their digital transformation, combining some of SAP's technologies around Signabia, which is process modeling connected with our UiPath task mining and driving with the platform. Together that global footwear apparel company is working with robots over a couple of thousand hours with the SAP system and seeing significant benefits. Together with customers wanting to move faster, customers wanting to actually see how automation on top of the existing environments, whether they're actually going to go through digital transformation or not. We believe that our -to-market organizations on both sides will be able to deliver the value to these customers much, much faster. It's a significant partnership. The feedback we've got from global system integrators has been exceptionally positive. We've mentioned a couple of them and we've had a lot of positive interest in this partnership with SAP. Together today, we also have customers that already utilize it in the test suite capabilities we have. You can see it, we've mentioned previously with Orica and the benefits base, whatever. So we think at the end of the day, customers are going to see significant benefits by connecting ERP systems, wall cost mission critical ERP systems together with wall cost automation systems.
spk13: Super helpful. And then just as a follow-up, we recently saw a UiPath product demonstration that used ChatGPT to come up with test scenarios for the test suite. It seems very additive to the platform. Can you just explain at a high level how ChatGPT augments the product and then what your product does that ChatGPT cannot do? Thanks so much.
spk08: We're very excited about the opportunities that generative AI is going to bring to our platform. We are seeing a good opportunity to increase the adoption of our platform by making the existing use cases easier to implement and democratizing access to the platform in the sense that even more and more less technical users can use it. We are building as part of this project called Wingman, we are building a co-pilot like technology where users can specify in natural language what is the task they want to automate and we use our computer vision to read application screens and by combining our own technology with the cognitive power of ChatGPT, we can actually create very easy to use workflows that can be deployed and run by our platform. Moreover, we feel that in our document understanding business, we can accelerate the creation of domain-specific models by training them using generative AI but then deploy them in a secure and governed manner. So this domain-specific models have the advantage that they are very precise and they don't hallucinate and they don't pose business risks. And you mentioned testing. Yeah, exploratively testing was very difficult traditionally to automate because people iterate very fast through building an application and user interface usually changed quite a lot. But now we see the opportunity to have a description of the tests in pure English like you do for the testers and then by our automation platform that employs computer vision and generative AI, we'll simply explore the user interface and we'll be capable of understanding an application and testing more like a human user. That will result in an acceleration of actually implementing a large application because people will test much more often so development cycles will shorten. So all in once we believe this is an amazing opportunity for our platform and I want to stress again that the power of it really puts into highlight the power of our computer vision that reads screens, the power of our execution platform that can execute screens through applications and the power of our -to-end platform that can orchestrate and deliver automation in an enterprise-grade manner.
spk13: Thanks so much.
spk14: Our next question comes from Raymond Lenchel with Barclays. Please, say your question.
spk06: Thank you and congrats for another Solar Quarter guys. I wanted to stay on that testing theme and actually also the SAP theme from the first question. I'm thinking about testing in an SAP migration environment because a lot of customers have to go to S4HANA, a lot of customers need to redo and rethink their customizations etc. Should that not be a significant opportunity for you guys around testing there and work there and am I dreaming here or do you see that and what's the opportunity there? And I have one follow-up, Pershi.
spk10: Yeah, Ramo, Robert here. When we mentioned the Arikate suite announcement earlier, that is in a combination with S4HANA migration that they're doing. So in the integral part of that migration, there was also automation on top of S4HANA migration with S4HANA. So we actually have customers today that are actually utilizing significant parts of both platforms and the opportunity is significant because it also ties in SAP's BTP platform together with S4HANA migration. So that's why we feel really confident about it. We also feel like it changes the production in front of customers and it drives a significant amount of efficiency in the migration process as well. We've also delivered SAP heat maps and SAP solution accelerators to help move that motion even faster. So we do see that as a significant opportunity with our partner SAP.
spk06: Yeah, okay, perfect. Makes sense. And then Ashim, great results on cost control and what you're keeping for the reminder of the year in terms of controlling costs but also getting ready for in case things are looking better in the second half of the year with the view on 2024. How do you run the business at the moment? Many things.
spk11: Yeah, I think first is we will consistently invest in areas that we see opportunity, Ramo. That is both in the -to-market side as well as in product and you can see that in the results of the roadmap that Daniel talked about in the product and the excitement that we have there. And things like and deals like the SAP partnership that happen through the investment of time of our resources. So we focus people in the right places with the highest return. We've talked about it. I think we have enough scale now where a big chunk of our base is really scalable globally. You look at our GNA structure, I think we've built a foundation to support the customers and the strategy that's in place today. And on the -to-market side, Rob brings a ton of expertise and the leadership of the -to-market teams really are constantly looking for the best opportunity and focusing on customers with the highest propensity to invest automatically leads to better ROI's in terms of the investments we put in. So while I think that we will continue to operate the company efficiently, that efficiently for us means investing in great opportunities and de-emphasizing areas where we don't. And that formula I think has shown positive results by you can see not just the generation of free cash flow but also us raising our overall operating margin guidance here to 13% for the remainder of the year.
spk06: Yeah, okay, makes sense. Well done. Thank you.
spk14: Our next question comes from Matthew Hedbert with RBC. Please see your question.
spk02: Great guys. Thanks for taking my questions. Rob, maybe I'll start with you. Upsetting the platform beyond RPA is clearly a big opportunity for you guys and when we look at your growth in large customers, it seems like it's showing up there. Can you talk a little bit more about the success? You're seeing there moving customers beyond RPA to the broader platform. And what does that do to ARR per customer?
spk10: Yeah, I'm maybe assuming you're going to comment on the ARR per customer but for certain when you look at our customers above a million, that's improving all the time. I would say, Matt, the discussions we're having with customers today using our North Star model is significant. It's really around how we can help their businesses, how we can help drive efficiency and how we can help them deal with this environment that we're working in today. So we see lots of opportunity on that. I think Daniel mentioned the return on document understanding. The results that we have with customers today in healthcare, healthcare providers and financial institutions is absolutely significant and we see more and more customers expand. And then as customers start to see areas, I would say when we engage in a sales cycle and we're going with test suite and I look at the full platform, we're seeing more and more customers select us because of the platform, the opportunity that it provides. So I would say RPA and automation today, the way the companies look at enterprise automation, UIFAS is clearly leading that space. The partnerships that we've now got in place with big GSIs and big technical partners is making a big difference and I'm very confident of where we're headed with our focus on industries and these partnerships.
spk02: Great, thanks. And maybe just, Ashim, following on Ramo's question on margins, obviously super impressive, nine and a half to now 13% for the year. You just are curious, when we think about that longer-term margin progression, how should we think about the cadence beyond this year which has obviously been pretty dramatic this year so far?
spk11: Yeah, I think we're really pleased with the progress and the pace of execution by every single employee of UIFAS, frankly, working to both serve our customers and find efficiencies together. We've talked about 20% margin in terms of a long-term operating margin goal. We'll update that at the appropriate time as we see the need to but we're more than halfway there. We feel really good about that progress. We're committed to being a rule of 40 company and I think just continuing that progress is what we're focused on.
spk02: Thank you very much.
spk14: Thank you and our next question comes from Mark Murphy with JP Morgan. Please state your question.
spk05: Hey, this is Ardion from Mark Murphy. Thanks for taking the question. I wanted to ask, is there a material portion of your pipeline where you look at it and feel like you're being involved in generals, AI, and LLMs with external products? To be clear, I understand you guys have your own AI and ML products but specifically if you're kind of seeing any incremental pipeline with adoption of these kind of emerging LLMs. Thanks.
spk11: I don't think we look at our pipeline in that vein. When we go around and Rob can talk through the customer portion and the customer stories, every customer in our pipeline reflects the continued interest and understanding that automation and AI go hand in hand and the power of generative AI really makes us the right long-term fit for their platform. We see that in the pipeline in terms of just the way we see it. Do we have a specific set of pipeline or deals just around AI? We don't look at it that way and I don't believe our customers do either.
spk10: I would just add to that. Let me just add to that because I think it's really important and I think Daniel's prepared remarks came across really well. When you look at the way we look at enterprise AI and we are getting a significant amount of discussions with our customers, you have to go back to domain specific AI. In domain specific AI we've had years of work in this space that our customers, whether it be task mining, document understanding, our computer vision technology and don't forget communication mining as well. We've got years of understanding in that. We spoke about clipboard AI previously, on generative AI. Customers really want to understand how we can benefit them in the future with automation and how these two go hand in hand. I think that's going to be something that UiPath will continue to evolve really fast in the next month. I would believe that we are seen as a leader in the space as well. Daniel, do you want to make some comments on that?
spk08: Yes, as I said, I really believe that from a strategic standpoint AI development will follow a bit like our human brain development. We have a very powerful cognitive engine but we have a lot of specialized models, if I can say so, that help us to do many tasks on autopilot. For instance, if I want to try to learn tennis, initially I'm training using my cognitive, I'm understanding the game, but then I would play on autopilot because it's much more effective, it's more precise, it's actually much less intensive in terms of resources that it requires. So obviously this is going to be the model that will prevail in the enterprise world. This is why I believe we have an extensive mode here based on our computer vision technology and actually our ability to execute actions on screens, which is a very hard thing to do reliably. So it's part of our IP for the past 15 years. In a way, I really believe that generative AI is exactly the missing piece for RPA to really go to the next level of adoption.
spk05: Got it. That was a very insightful and thoughtful answer from all of you. So I'll just leave it at that. Thank you.
spk07: Thank you.
spk14: And our next question comes from Keith Weiss with Morgan Stanley. Please state your question.
spk12: Yeah, this is Sandra Singh for Keith Weiss. I wanted to start first with Ashim. In terms of the demand environment, you guys talked about sustained deal scrutiny similar to last quarter. As you looked into the trends in May and look into the pipeline for the rest of the year, what is the customer buying behavior? How is that shaping up? Any sort of changes you've seen in May versus what you've seen in Q1 and what you saw in Q4?
spk11: No, I think it reflects just the way that we've described it, which is it reflects the variability of the macroeconomic environment. That, I think, changes every single day and we're attuned to that with our customers. But there's no consistent change that we see a major difference in from that
spk12: perspective. Is there any sort of regional variation? There's been some inklings that Europe might be doing better than US and then Asia, or is it still pretty volatile across the various geos?
spk11: So just in terms of what I see, and I'll let Rob comment as he's been with the pipeline perspective, we're really pleased with the execution across our teams. I think the word variable really is a global phenomenon in terms of the overall environment. I think Europe has for a longer period of time, just since last year, and I think North America is something we commented on in the last earnings call. So from that, those are just the dynamics, and I'd say that's pretty consistent. Nothing else that I would highlight. Rob, I don't know if you want to add on to that. I
spk10: paused on that one. I don't think there's much to highlight. I would say that it's consistently variable. I would say the same discussion taking place with customers when you talk about our North Star model and to turn where we're speaking to customers about the broader automation platform is progressing very nicely in both the US or the Americas and in India. We're pretty pleased with the progress there, and we will continue to work on the progress in IPJ, but the market conditions, I would say, are variable consistently.
spk12: Understood. And then I'd like to speak one last one, if I may, for Daniel. You've been pretty clear on this call about the potential for genera.avie to help make RPA more useful. Testing seems like a very interesting use as well as customer service. What does that mean from a pricing perspective? So as you guys incorporate this technology, do you feel like you would be able to press on the pricing lever given the potential productivity on the handsets that you may extract or deliver to customers?
spk08: Yeah, this is a big tailwind for us, and it's gonna positively impact all areas of our platform, because ultimately we will use genera.avie across our platform. And this basically will, with the increased adoption of our technology, I think the genera.avie would pay in a way for itself. And we will sell more robots, we will sell more documents processing, we will sell more AI units. So I think it's gonna reflect pretty nicely into our existing price model.
spk12: I appreciate the thoughts, Daniel. Thank you so much.
spk14: Our next question comes from Brian Bergen with TD Cowan. Please state your question.
spk09: Hey guys, good afternoon. Thanks. I wanted to follow up on the -to-market refresh. Robbie touched on it briefly, but can you take it a little bit more on the sales and the -to-market reorg across the three operating regions? Really just compare and contrast where you stand in North America versus EMEA versus APEC?
spk10: Yeah, I mean, I think we've executed the -to-market changes as we said we would consistently. Those changes, I would say, have settled down really well mostly in some of the segments. It's taken a little longer than we would have hoped. But right now I feel really good about where we are and the rhythm we have in the second quarter and how the teams are focused. So absolutely the right decision, absolutely the right execution. As you said a couple of times, Brian, I think you'll see the acceleration in the second half of the year due to the changes we've implemented.
spk09: Okay, and then just on the partnership ecosystem, same question here. Just any feedback from the service channel partners as you're shifting some of the long tail over to them? Any learnings thus far on this plan?
spk10: Yeah, I would say the partners across the board, you know, you've got to look at the partners. If you look at the big GSI's, I think we're having way more discussions with them. They're very much involved in many of our North Star discussions around digital transformation, big projects. For them that model fits really well. Our existing partners, the local channel partners are seeing bigger opportunities as we continue to showcase the platform. They get to fundamentally understand how to position the platform. And actually even in those partners we see areas like document understanding where they're actually really driving it. And then the distribution is where we still got some, I wouldn't say work to do, but we still got to see it come through. And look, the reaction, I mean that's the one probably that we don't mention because maybe it's not as global, but the partnership with T-Systems large companies in Germany, Switzerland and Austria and the public sector in Germany is significant. We've already working with Deutschland Ticket, which is Deutsche Bahn, on their flat rate ticket system for the whole of Germany. So that's a big significant opportunity for UiPath as well. And then the SAP partnership coming out of Sapphire will be in full execution mode. We're really confident that the senior leadership of SAP being here in Barcelona, being on stage tomorrow with the SAP team and their customers will showcase the fundamental difference of that partnership as well.
spk09: Okay, good to hear. Thank you.
spk14: Our next question comes from Michael Turin with Wells Fargo. Please state your question.
spk04: Hi, this is Austin Williams, off for Michael Turin. Thanks for taking our question. It looks like NetNew ARR was down versus last year in the quarter. Is there any additional color that you can add on whether it's new logos or if it's expansions that are impacting that? And as a follow-up, are you seeing any change in the average deal sizes for new lands?
spk11: Yeah, so just when you look at it, I wouldn't say there's a driver between new logos and expansion. Really, the first thing is normalizing for FX. FX had a five, six million dollar impact in the quarter. So I think that's the first piece. And the second is it's more of just a general, you know, the broader macroeconomic variability that we see and the transition that we have in terms of the -to-market changes that we've made. And, you know, that's appropriate. We commented on that, you know, at the start of the quarter. So those are really the drivers versus pointing out a specific motion in terms of where it is. In terms of land sizes, you know, we're really pleased with what Segmentation has done in terms of focusing on the higher propensity customers. We see we're pleased with our large deal execution. You know, Rob mentioned this, our million dollar plus customers continue to grow. And, you know, from that standpoint, I think that's a good feeling from us in terms of both positioning the platform as well as larger deal execution, which, of course, involves average selling price being higher.
spk04: Got it. Thank
spk14: you. Our next question comes from Brad Sills with Bank of America Securities. Please say your question.
spk03: Oh, great. Thank you. I wanted to ask a question around the transition to solution selling and the vertical approach here. I think last quarter you called out some relative strength in the financials vertical. Just curious to get an update on where you might be seeing some traction across the verticals with that approach. Thank you.
spk10: Yeah, Brad, I mean, we still continue to see the benefits with financial sector, banking, healthcare providers. We still continue to see that. We announced a couple of names. So source of strength, especially with the solution products are communication mining and document understanding. But I would say it's variable in other industries in generic manufacturing, you see test suites being driven. So we are, you know, from an industry point of view, I think over time, as we produce more and more solution accelerators, as we get more and more focus on which solutions for which industries, you're going to see the expansion by industry. The piece that is significant as well is that the global system integrators, the big partners actually want to work with us in specific industry focus areas. And you're going to start to see that expand in the coming months as well. So I wouldn't say specifically resource significant in any particular industry in the first quarter, but still financial services, healthcare, are still the areas where we see that we have seen progress.
spk03: Wonderful. Thank you so much. And one more, if I may, just on a couple of partnerships here, the Amazon SageMaker and Snowflake partnership. How do you envision these partnerships impacting the business? Are we talking about just more relevance by blending data, you know, from these data sets and AIML libraries to increase the velocity of deployment of more bots, the accuracy of bots? I mean, how do you see this impacting the business as you bring in data set from Snowflake and the AIML library from AWS SageMaker? Thank you.
spk10: Daniel, you can take the SageMaker one on Snowflake. I think it's pretty clear, Brad, it just helps customers automate faster, connect quicker to Snowflake data in the manufacturing sector and deploy bots much, much faster. Actually, we see quite a significant amount at the Sapphire events that we're in. We see significant amount of customers in that space, manufacturing, wanting to understand more about not the Snowflake partnership, but how they can actually deploy bots in manufacturing supply chain logistics much faster. So we see that as a significant opportunity as well.
spk08: Yeah, obviously. I think it's a great opportunity in our analytics platform. We use Snowflake as actually a foundation layer in process mining and all our analytics. We kind of standardize the platform and we use the power of it. Of course, SageMaker is great for hosting models, it's to accelerate our AI strategy. So all in one, it's a really positive event for us.
spk03: Thank you so much.
spk14: Our next question comes from Kingsley Crane with Canaccord Genuity. Please,
spk07: Hi guys, this is Gabriel Rowe for Kingsley Crane. Congratulations on the quarter. I find it very fascinating about the generative AI being a great gateway to leverage the rest of the automation platform. So in that respect, what impact do you guys take into account for the guidance for this year or for longer term of generative AI and the adoption of the platform overall increase in terms of it?
spk08: Well, I think generative AI, it's a bit of a longer shot to have impacted the guiding for this year. My estimation is the real adoption in the enterprise would probably start more like next year rather than this current fiscal year.
spk14: Thank you. Our next question comes from Scott Berg with Needham. Please, see your question.
spk00: Hi, Roland. Congrats on the good quarter. Most of my questions have been largely asked. I just wanted to ask for one and apologize for the background noise on the plane here. But my question is on the adoption of your native cloud box. I think they've been in the market for a little bit more than a year now. I just wanted to see if you had an update maybe on the traction on them versus the more traditional term lighting spots that you have out there. Thank you.
spk11: We see really good overall progress in our hybrid offering. I think it's really good. I think ACR is still early. Our customers will still work and are developing their cloud strategies, their full cloud strategies across enterprise automation. But the feedback from our customers, the interest continues to be very well and it's positioned well in the market. But having that on the roadmap coupled with the capabilities that continue to be released on our cloud platform, we feel very good about that.
spk14: Thank you. We have reached the end of the question and answer session. I'll now hand the floor back to Robert and Flynn for closing remarks.
spk10: Thank you everybody for joining us. We look forward to connecting with many of you in the coming weeks and we appreciate you all joining us today. Thank you.
spk14: Thank you. This concludes today's conference. All parties may disconnect. Have a

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