Coveo Solutions Inc.

Ladies and gentlemen, welcome to the Coveo Second Quarter Fiscal 2027 Financial Results Conference Call. At this time, all lines are in listen-only mode. Following the presentation, we will conduct a question-and-answer session. If at any time during this call you require immediate assistance, please press star zero for the operator. 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 meeting 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. Coneo 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 CDAR Plus profile at cdarplus.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 issue today. Finally, Thank you very much. of our second quarter, and we will end off with Kevin 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-looking 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 two seven-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 Claude. 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. Avail 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. Poveo 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, Kahlil 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 touchpoint, and there is no need to replace the existing technology stack. Beveo'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 fastocalypse narrative is overdone. Frontier AI technology is not the same as complete solutions delivering trusted enterprise outcomes. Thank you for watching. 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 seven-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've turned 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.