Coveo Solutions Inc. (CVO) Earnings Call Transcript

Ladies and gentlemen, welcome to the Coveo Second Quarter Fiscal 2027 Financial Results Conference Call. [Operator Instructions] This call is being recorded on Thursday, October 29, 2026. I would now like to turn the conference over to Adhir Kadve, Head of Investor Relations. Please go ahead.

Good afternoon, everyone, and thank you for joining us. With me to discuss Coveo's Second quarter fiscal 2027 results are Laurent Simoneau, Coveo's Co-Founder and Chief Executive Officer; Louis Tetu, Coveo's Executive Chairman; and Karine Hamel, Coveo's Chief Financial Officer. A reminder that some remarks made today will be forward-looking statements within the meaning of applicable securities laws, including those regarding our plans, objectives, expected performance and our outlook for the fiscal third quarter and full year fiscal 2027. These are forward-looking statements given as of October 29, 2026. And while we believe any statements we make are reasonable, they are based on current expectations and assumptions, which are subject to risks and uncertainties. Actual results could differ materially from those expressed or implied. Coveo disclaims any intent or obligation to update our forward-looking statements, whether as a result of new information, future events or otherwise. Further information on factors that could affect the company's financial results is included in filings we make with Canadian securities regulators, including in the Risk Factors section of the company's most recently filed annual information form as well as the key factors affecting our performance section of the company's most recently filed MD&A, both of which are available on our SEDAR+ profile at sedarplus.ca and on ir.coveo.com. Additionally, some of the financial measures and ratios discussed on this call are either non-IFRS measures, ratios or operating metrics used in our industry. A discussion on why we use these metrics and where applicable, reconciliation schedules showing IFRS versus non-IFRS results are available in our press release and our MD&A issued today. Finally, please note that unless otherwise stated, all references and financial figures made today are in U.S. dollars. Our presentation slides accompanying this conference call can be accessed on our IR website under the Financial Information section. I will now turn the call over to Louis to review our platform and strategy, followed by Laurent, taking us through our operational and strategic highlights of our second quarter, and we will end off with Karine, taking us through the financial details and provide our outlook for the third quarter and full year fiscal 2027. We will then open the line to your questions. With that, over to you, Louis.

Good afternoon, everyone, and thanks for joining us. We delivered the strongest booking quarter in our history in what is usually our seasonally slowest quarter. Both revenue and adjusted EBITDA came in above our guidance range. We continue to see marquee customer transactions with 2 7-figure subscriptions in the quarter. The acquisition of Anglera is a key event we're excited about. First, it's an important technology that helps us further advance our platform in the data layer, but also Anglera brings substantial incremental value to our customers and enhances our solutions portfolio in industrial, distribution and complex retail, our strategic target segments. We remain focused on deepening our strategic relationships with the largest organizations in the world and ensuring that our technology remains a key ingredient in our customers' ambitious AI strategies. Laurent and Karine will go into the details, but in my view, this quarter once again reflects strong progress on all these fronts as our market matures. The addressable market for Coveo is very large and reaching an important inflection point. Our category is Experience AI, how AI is brought into every digital experience to produce better business outcomes for enterprises. Experience AI is about bringing AI to every moment of intent, connecting what someone wants to accomplish with the information, products and guidance that they need, fast, modern, conversational and with personalized relevance. The opportunity goes far beyond chatbots. It spans commerce, service and work. It is much bigger than an isolated application or one department's AI tool. Enterprises interact with customers, partners, technicians, buyers and employees online, sometimes a million times a week or even a day. These people need to find products, solve problems, learn, fix equipment or choose replacement parts. Every interaction is an opportunity to resolve issues faster, grow revenue, improve productivity or reduce costs. AI makes these improvements possible at scale. Think about your own experience with ChatGPT, Perplexity or Claud. These tools change how you find information. And so they also change what you expect from all your digital interactions. When one company helps customers buy confidently or technicians solve problems faster, slower alternatives become harder to accept. Rising expectations from people online, proven possibilities and competitive pressure are creating this market and its urgency. We focus primarily on industrial, B2B, distribution, complex retail and large-scale service. This is where Coveo has strong differentiation and delivers high economics. These are markets where product catalogs, technical knowledge and business rules must work together and where ROI can be substantial. We already serve some of the largest manufacturers, distributors and retailers in the world. Consider a buyer on an industrial distributor's website. Instead of searching thousands of parts, the buyer describes the problem context. Coveo AI brings together specifications, compatible products and insights from other customers' experiences. It also incorporates inventory and negotiated pricing to guide the purchase. The result is more completed orders, fewer mistakes and greater revenue from the same traffic. Now consider a field technician repairing a complex machine. The fixed solution may be spread across equipment maintenance records, service manuals and parts catalogs. The technician also needs to know what fits and what's available. Coveo connects that knowledge. AI helps identify the problem, recommend a compatible replacement and guide its purchase from availability to the installation. Commerce and service become one experience focused on getting the machine working again. The technician gets a better experience and a faster resolution. The technician's customer reduces downtime. The manufacturer gains a competitive advantage by increasing dependability. The economics are powerful. Enterprises already have the traffic, the data and knowledge and the demand. It's all there. Coveo helps them get higher value from those assets and quickly. For illustration, consider a business with $500 million in annual digital sales for aftermarket parts. Each 1% increase in revenue per visit would add $5 million in revenue at unchanged traffic. But that is before any service savings and the benefits from a greater dependability promise. We often see double-digit gains with our customers, tens of millions of dollars. We believe enterprises face an increasingly binary choice, use AI to deliver better experiences or compete against companies that do. That pressure, combined with evident and measurable financial returns creates a catalyst for the rapid adoption of Coveo within enterprise experiences. But here's the critical point. An AI model does not inherently know your products, projects, customer contracts or business rules. It cannot guess which part fits in a particular machine serial number, its maintenance history or what a customer can buy on what terms. That knowledge sits across disconnected enterprise systems. The role of models in this type of use case to generate. Enterprises must supply the context, otherwise AI models can't deliver reliable results. Coveo is that harness that makes AI relevant, trustworthy and useful. It securely supplies the current business context digital agents need. With that harness in place and as models become commoditized, Coveo's model flexibility lets enterprises keep pace with innovation, improve performance and optimize token costs without model lock-in. Experience AI, therefore, goes beyond individual interactions and span across the full spectrum of intents. From discovery to purchase to ownership and aftermarket support, Coveo connects intelligence across the entire journey. Enterprises can start with one commerce or service experience that can demonstrate value, then expand and extend the same intelligence across all channels. In Experience AI, each interaction, intent and outcome provides signals that help improve the next experience. The value compounds as Coveo AI learns without the need for a separate AI project for every touch point, and there is no need to replace the existing technology stack. Coveo's moat is the complete solution. We combine unique technology, enterprise integrations, industry expertise and repeated customer results. It's not an isolated feature or a single AI model. This is why we believe the so-called SaaSpocalypse narrative is overdone. Frontier AI technology is not the same as complete solutions delivering trusted enterprise outcomes. Our customers need that complete solution backed by technology know-how and a results promise. We see AI innovation expanding the need for what Coveo does, not making it obsolete. And these customers gain more than software. They gain faster time to value and confidence in a partner that delivers results repeatedly and keeps innovating. For Coveo, this expands the opportunity beyond technology budgets. It opens the door to strategic partnerships with our customers and the C-suite to improve revenue, service and competitiveness. This is why we're seeing 7-figure subscriptions. We grow by winning larger customers, serving more interactions within existing accounts and earning larger partnerships through measurable value and strategic business impact. We turn the interactions enterprises already have into the financial outcomes thereafter with AI, and we're aiming to translate that value into accelerating growth for our company. We believe Coveo will become the defining company in the Experience AI space. With that, I'll turn it over to Laurent to discuss the quarter.

Thank you, Louis. We delivered a very strong quarter with the best bookings performance in our history. Growth was driven by B2B and B2C commerce, generative AI and multi-use case customers. Today, I want to focus on 3 themes that continue to drive our business, deepening customer relationships, leading through innovation and continue our focus on maintaining strong economics for the business. Let me begin with customers. We have now delivered 4 consecutive quarters with 7-figure transactions, including 2 this quarter. These significant enterprise commitments reflect the strategic role Coveo is playing as organizations put AI into production. New customer wins and expansions included Coles, US Foods, LG, Intel, a global commercial equipment parts distributor, a North American industrial gases and equipment supplier and several others. The first major transaction was the previously announced expansion with a global Fortune 500 technology leader. This represents the largest transaction in Coveo's history. It is also our first customer relationship exceeding $10 million in annual recurring revenue. This is an important milestone. It demonstrates that one of the world's most sophisticated technology companies considers Coveo as a strategic part of its enterprise AI strategy. That company is also expanding the use of our platform across multiple experiences. The second was a 7-figure win with Coles, one of Australia's leading retailers. Coles operates more than 840 supermarkets and generates nearly AUD 42 billion in revenue. E-commerce is a strategic growth priority for Coles and its supermarket business. Supermarket commerce presents unique challenges. Product availability changes rapidly, perishable products have limited shelf life and competition is intense. At the same time, customers expect to find the right product easily whether searching for something specific or exploring options. Coles selected Coveo to power search across its online properties. Our platform will improve the shopping experience through personalization, intelligent ranking and search optimization while preserving the merchandising controls its teams require. The objective is to improve conversion, average order value and revenue per visit. Ultimately, this should support stronger margins for Coles. This win also establishes a foundation for agentic commerce, where AI agents will increasingly help shoppers discover and purchase products. Importantly, this was a competitive win against established vendors. It demonstrates the strength of our platform in a demanding high-scale commerce environment. Turning to innovation. We continue investing in capabilities that address real customer needs and extend Coveo's value across the commerce journey. We are doubling down on our strategic commerce business with a particular focus on retailers, distributors and manufacturers. At the same time, we continue investing in our business serving sophisticated knowledge-intensive industries where AI is creating new opportunities to deliver value to our customers. Conversational product discovery brings natural language interactions directly into commerce experiences. Shoppers can ask questions and refine their needs through conversation. The experience adapts to their intent, presenting product cards, comparisons, detailed analysis or personalized suggestions. All responses are grounded in the product catalog in respect to established merchandising rules. Through interoperability protocols such as MCP and AG-UI, our underlying agents can also enrich experiences with external AI assistance, including ChatGPT, Gemini, Claude and others. Conversational product discovery is already live at Linde, a global leader in industrial gases and engineering. Linde supplies specialized gas and equipment to industries ranging from manufacturing and health care to food processing and electronics. For Linde's customers, choosing the right products requires understanding complex technical specifications, compatibility and application requirements. Conversational product discovery helps them navigate these complexities and make more informed purchasing decisions. We are seeing strong market interest and a healthy pipeline of expansion opportunities. Several additional customers are currently onboarding and that capability is also attracting new prospects. Another important innovation is merchandising agent, formerly merchandising Copilot. This represents a strategic evolution of our commerce platform, bringing AI directly into how our customers manage and optimize their digital businesses. Embedded in Coveo Merchandising Hub, the agent allows business teams to analyze performance, identify opportunities and optimize campaigns through natural language. It can recommend and execute changes to business rules, facets and product recommendations without requiring specialized operational expertise. Crucially, customers retain control over relevance and merchandising decisions. Actions are governed by guardrails, approval workflows and a full audit trail. This combines the speed and intelligence of AI agents with the control enterprises require. Early engagement metrics are promising. More than 70% of users engage with the product repeatedly. Approximately half of those users apply actions recommended by the assistant. More than 20% of storefront optimizations are now completed through automated AI agent actions. We expect these metrics to improve as adoption matures. These early results demonstrate how agentic AI can help teams move more quickly from insight to action while preserving human oversight. Our forward deployed engineering initiative is also progressing well. As of today, the team is approaching full scale and completed more than 40 customer engagements. This model brings our technical teams closer to customers in their real-world deployments. It helps us better understand their needs and solve problems faster. We are already seeing positive contributions to customer retention and expansion. The initiative also creates a tighter feedback loop between customer needs and our product road map. Finally, I want to discuss our acquisition of Anglera, which strengthens our commerce offering. For retailers, distributors and manufacturers, product data is critical to helping customers find the right product. This is true for both traditional search and AI assistant, yet essential attributes such as dimensions, materials and compatibility are often missing from catalogs. This limits product discoverability and relevance across all discovery channels. Anglera addresses this challenge by using AI to enrich existing catalogs at enterprise scale, extracting information from unstructured product content. Anglera's technology is highly complementary to Coveo. Anglera improves the underlying product data, while Coveo makes that information accessible through intelligent search, recommendations and conversational experiences. Strategically, this acquisition strengthens our differentiation across B2B and B2C commerce. It improves the foundation for relevance, personalization and merchandising. It also supports Answer Engine Optimization, AEO, and Generative Engine Optimization, GEO, helping customers make their products more discoverable through search engines and AI assistance. This further positions Coveo for the shift toward agentic commerce. We're excited about the opportunities ahead, and I want to personally welcome the Anglera team to Coveo. We look forward to what we will accomplish together. Our third theme is to continue our focus on maintaining strong economics for the business. Our subscription-based model provides high recurring revenue and strong gross margins, creating significant operating leverage. We remain deliberate about where we invest. We prioritize product innovation and customer initiatives that reinforce our differentiation and support expansion while maintaining financial discipline across the business. This approach is reflected in our adjusted EBITDA performance, which exceeded our guidance this quarter. To conclude, the progress we're making reinforces our confidence in Coveo's long-term opportunity. We're building larger and more strategic customer relationships. Adoption of our latest innovations is growing, and we're bringing product development even closer to our customers' needs. We remain focused on solving complex problems at enterprise scale, delivering measurable customer value while building a more differentiated and efficient business. I'm proud of our team's execution this quarter and the momentum we are building. With that, I'll turn it over to Karine to walk through our financial results. Karine?

Thank you, Laurent. Q2 was a strong quarter from a bookings perspective, as you've heard from us. We saw continued strength in commerce and generative AI and again, closed large strategic transactions. These results reflect the value both new and existing customers see in Coveo as they advance their AI priorities. Importantly, even excluding our largest transaction, we delivered our best Q2 bookings performance in what is typically a seasonally slower quarter. Both SaaS subscription revenue and total revenue came in slightly above our guided range. We also delivered adjusted EBITDA of $2 million, above our expectations while continuing to deliberately invest in the areas with the strongest long-term potential. Before diving into bookings, let me start with our financial results. With Qubit now fully deprecated, our SaaS subscription revenue reflects only the Coveo core platform. On that basis, SaaS subscription revenue was $39.1 million and up 12% year-over-year or up 9% on a reported basis. Total revenue was $40.4 million, growing 8% year-over-year. Product gross margin was 82% and total gross margin was 80%, both solid and comparable to prior year period. Adjusted EBITDA was $2 million compared with $0.6 million a year ago, above our guided range. Cash flow from operating activities was negative at $14.9 million, reflecting the seasonality of our cash collection cycle and the timing of working capital movement. We ended the quarter with $82.7 million in cash and cash equivalents and remain debt-free after funding share repurchases and managing the seasonal cash flow pattern. Net expansion rate on the Coveo core platform was 105%, up 3 percentage points from last quarter. Turning to bookings. As I said last quarter, generative AI is now part of virtually every customer conversation. Customers are moving from experimentation towards production use, and they are looking for secure, relevant experiences that can deliver measurable value. Coveo helps them connect their enterprise content and product data to those AI experiences. We continue to see that value reflected in customer demand. Generative AI solutions now represent 16% of our ARR. This is incremental ARR on top of customers' core Coveo subscription and has grown consistently over time. In the second quarter alone, these solutions accounted for more than 50% of our bookings, underscoring their importance as a driver of new business. We see this incremental value reflected in higher annual contract values among new customers adopting these solutions and strong net expansion rate among existing customers using them. As we discussed last quarter, broader adoption across new capabilities can also increase platform consumption, creating further opportunities for expansion over time. We also continue to see momentum in our strategic cohort, including wins across B2B and B2C commerce. Among our new B2B customers this quarter were a commercial equipment parts distributor and an industrial gases and equipment supplier, extending our traction in distribution and industrial markets. In complex B2C, Coles is another notable example selecting Coveo to support its complex experience. These wins illustrate the momentum we are seeing and continue to validate our strategy of focusing on verticals where commerce complexity creates a compelling need for Coveo's capabilities. Turning to net expansion. Net expansion rate for the Coveo core platform improved 3 percentage points sequentially to 105%, while our reported rate, including legacy Qubit customers was 102%. As a reminder, Qubit no longer contributes to current revenue. However, its historical customer base continues to affect the reported NER comparison. The 3-point improvement reflects customer expansion, including the large transaction announced shortly after Q1 as well as the benefit of lapping the large single customer churn event we discussed last year. We are pleased by this progress while recognizing that the timing and size of customer expansions and renewals can affect NER from quarter-to-quarter. While legacy cohorts continue to weight on overall retention, our strategic cohorts, including customers using commerce, GenAI and multiple use cases continue to deliver stronger ARR growth and NER than our overall business. These results reinforced our focus on the areas where we see the greatest opportunity, both to win new customers and to expand existing ones. Turning to Anglera. The acquisition Laurent discussed earlier. Revenue contribution for this fiscal year will be immaterial and the longer-term opportunity comes from the technology and expertise it adds to our product offering. The agreement also includes an earn-out tied out to commercial milestone, linking additional consideration to the business generated by these capabilities. This structure allows us to make a modest upfront investment with a further potential payment in early 2028 tied to commercial performance. The acquisition will be funded with cash on hand. During the quarter, we bought back shares through both the previously announced targeted issuer bid transaction with a pre-IPO shareholder and through our NCIB program, reflecting the ongoing confidence we have in our business and the opportunity ahead. Our capital allocation priorities remain grounded in maintaining a strong debt-free balance sheet. That flexibility allows us to keep investing in product innovation and customer success, opportunistically buy back shares and selectively invest in opportunities that advance our strategy. Finally, I will wrap with our guidance. We expect Q3 SaaS subscription revenue to be between $39.7 million and $40.2 million, representing approximately 11% to 12% growth for the Coveo core platform. Total revenue to be between $40.6 million and $41.1 million and Q3 adjusted EBITDA to be between $1 million and $2 million. For the full year, we are raising the lower end of our SaaS subscription revenue outlook, bringing the range to $156 million to $158 million or approximately 12% to 13% growth for the Coveo core platform. We are also narrowing our total revenue outlook to $160 million to $162 million. This revised outlook reflects a higher floor for SaaS subscription revenue and lower expected professional services revenue as we voluntarily shift more implementation work toward key SI partners as part of our broader alliances strategy. Our adjusted EBITDA and operating cash flow expectations remain unchanged. We continue to expect adjusted EBITDA of between $2 million and $7 million, and we continue to expect more than $10 million in operating cash flow for the year, consistent with seasonal patterns of our cash collections, which have historically been concentrated in the second half of the year. In summary, we delivered record bookings, results above guidance and raised the floor of our SaaS subscription revenue outlook. We are building larger, more strategic customer relationships and remain focused on translating that progress into sustainable growth through disciplined execution and thoughtful investments. We are pleased with our progress this quarter and are confident in the long-term opportunity ahead. With that, operator, please open the line for questions.

[Operator Instructions] And your first question comes from the line of Thanos Moschopoulos with BMO Capital Markets.

Starting off on Anglera, can you provide some context on how they came on to your radar and how the acquisition came about? And then as far as monetization, will that be a separate product like an add-on? Or is that going to be folded into the broader platform and just drive overall value in terms of the growth capability for the platform?

Thanos, thank you for your question. So first of all, we closed that today. So we expect to discuss more integration in the coming weeks and months. But as of today, this product is -- this product works already with customers on production, and we can sell that today. It solves a real important problem, the product data problems. It automates the enrichment that a lot of customers are struggling today to do manually. So it fixes incorrect product data, inconsistent product data. And ultimately, it creates a lot of value in the form of additional conversion, revenue per visit, margin, et cetera. And I would also add that ultimately, it's a great way also to manage GEO and AEO that are components of Agentic commerce. So the ability to surface content to those external AI assistants in the context of commerce is a growing priority for customers in retail, especially, and we believe that this acquisition will provide a lot of value here.

Great. And then just on the FDE strategy. You talked about in the prepared remarks, maybe some more color in terms of the types of opportunities where that's driving success and what your plans are in terms of continuing to scale and build the team, kind of maybe just the magnitude of investments you're planning to make in that regard.

Yes, absolutely. Thank you for that question, too. So we're quite happy about the early results of this FDE initiative. It has an impact on the retention of customers. It has an impact on expansion. And basically, this new world of AI, we see a lot more of architecture and interoperability challenges and opportunities at the same time with customers. So these FDEs discover those opportunities, help to reduce challenges. And ultimately, we see great -- we see them influencing great outcomes. The team is getting to maturity in terms of headcount, but depending on the opportunities in the future that we see, we obviously have the option to increase the growth of that team.

Your next question comes from the line of Paul Treiber with RBC Capital Markets.

Just a question on guidance. It's nice to see the very strong bookings this quarter. But my understanding is that guidance didn't reflect full upside from some of these larger deals. So can you speak to what's reflected in guidance from here going forward in terms of new wins versus contribution from ones that have already closed?

Thank you, Paul, for your question. Yes, as you noted, we increased the lower end of our SaaS revenue outlook by $2 million, and that is the reflection of the visibility we have following Q2 and H1. Our outlook reflects the renewal dynamics across our customer base as well as the timing of the remaining opportunity. And as a reminder, we recognize revenue on a straight-line basis. So as we get further along in the fiscal year, the GAAP revenue contribution is not as impactful as we get further along in the fiscal year. So we believe the revised range reflects the information we have available today, and we're pretty pleased with the results so far.

Okay. And then looking forward in terms of the sales pipeline, sales efficiency, close rates, things like that, with the strong bookings over the last several quarters, I assume you're seeing an improvement in all those metrics. Are you planning or is there -- do you expect to increase sales investments through this year to drive stronger growth in the back half and in '28?

Paul, this is Laurent. So look, we continue to see opportunities in the industries that we are focusing our investment on. So industrial distribution, complex retail. So we are going to invest in a robust fashion to acquire these new customers, but also to expand the existing customers. I mean I discussed the FDE initiative earlier on. The FDE initiative also discovers some opportunities at our large or large existing customers. So we're going to continue investing in there, but in a disciplined fashion. In other words, we're going to double down on what works and monitor and reassess and fix what works, what doesn't work as much as well. Let's put it this way.

Your next question comes from the line of Doug Taylor with National Bank Capital Markets.

I'm going to ask another question on the bookings growth versus the revenue growth. You noticed the CRPO was up 15% year-over-year, which would seem to bake in more contribution from some of these recent bookings than what's flowing into revenue. So I guess I'd like to start by asking about the ramp-up and the cadence of some of these recent larger wins and maybe you can refresh us on the status of those and how you expect that to unfold?

Thank you, Doug, for your question. Maybe I can remind everybody here that when we report a booking per se, it's because we are already to recognize the revenue on such bookings. Sometimes in the past, for sure, that might not contribute much. But in the future, going forward, we're expecting to get the revenue recognition from those bookings. As you highlighted, indeed, CRPO was growing at a higher rate than GAAP revenue. But as we've always said on CRPO, Doug, I mean, it's very highly dependent of renewal timing and seasonality of so on. So I'm always careful on that metric, which is not always reflecting the growth on the revenue side.

Fair enough. As my next question, anything to make of the way the geographic performance showed this quarter? I was seeing very strong international and Canada growth, a bit of a different story in the U.S. and perhaps that's just based on where the cohorts of strategic versus legacy customers, where those sit. Anything you'd point out there?

I don't have like anything specific to point out. I'm guessing you're referring to some of the information we're providing in the financial statement with regards to geographical revenue per region. Is that right?

Yes.

Yes. No, I think we're pretty comfortable with the growth we're seeing across different markets and always -- GAAP revenue always show a bit of a lagging here.

Your next question comes from the line of David Kwan with TD Cowen.

Just getting back to the guidance. I guess when you look at the Q3 guidance and then the updated full year guidance, it seems to imply that the Q4 kind of SaaS subscription growth slightly up from what we're seeing in H1 despite there's no kind of tough comp as it relates to sales force. We've talked about kind of strong bookings. So I was just wondering why -- are you just being more conservative given what's going on in the world these days? Or are you seeing kind of still a higher churn that you might want to see maybe at the bottom end of the customer base? Just curious to get your thoughts on that.

Thank you for your question, David. I think you've been following us for a little while. So I hope you see us guiding responsibly and to the best of our knowledge every time. With regards to what you're alluding to in Q4, I think your math is right here. And don't forget that the model of this company is revenue contribution, generally bookings contribution on H2 is generally stronger than in H1. So that also reflects on the quarterly growth as well. You should continue to expect from us that we'll guide in a responsible way and in a responsible manner. With regards to your churn question, I can tell you that churn is unfolding the way we have expected. And if there is something abnormal or changing in our assumptions, of course, we'll reflect it in our guidance going forward.

Great. And then just if you can talk about in terms of the opportunities in the pipeline, compare and contrast service versus commerce and then within commerce, the B2C versus the B2B opportunities?

Thank you, David, for the question. I think last year, we announced that we were seeing convergence between commerce and knowledge. And we're seeing that, right? We have applied that into those strategic business into those industries represented by distribution, retail, industrial and also specific knowledge industries. So we're seeing a lot of opportunity there. Our large customers are obviously coming from those areas. And again, it's -- I think in the prepared remarks, we mentioned the Linde case where it's really -- it's agentic commerce that includes a lot of knowledge into this. So Linde is in distribution, complex distribution, and that's how we are looking at the future of the business from a go-to-market perspective.