Business Description

Who We Are Sprinklr provides a Unified Customer Experience Management (“Unified-CXM”) platform that helps organizations manage customer interactions across channels and teams. Our artificial intelligence (“AI”)‑native platform enables customer-facing teams, from Customer Service to Marketing, to collaborate across internal silos, communicate with customers across digital and traditional channels, and leverage AI to deliver better customer experiences at scale. Our mission is to empower companies to deliver next generation, unified journeys that reimagine the customer’s experience. Overview Companies are increasingly moving from transactional to unified customer experiences. This has been driven by a shift from traditional channels, like email and phone, to an ever-expanding universe of digital channels, like messaging, chat, text and social. Consumer experiences today are shaped by each interaction they have with a brand, which include physical, in-person engagements, as well as digital engagements through online customer support, websites, social media or AI tools. And, given how people connect and transact today, companies face challenges when customer interactions occur across disparate systems. To elevate the consumer experience, they seek to unify every touchpoint along the customer journey and strive to ensure seamless and consistent customer experiences in person and online. They want to instantly communicate with consumers who move fluidly across dozens of channels and resolve customer pain points in real-time and in personalized ways. For large enterprises, reliance on customer relationship management (“CRM”) systems and backward-looking customer information like names, addresses and birthdates is not sufficient to meet today’s demands for seamless conversational experiences or prepare for the future of 360-degree immersive experiences. Sprinklr’s purpose is to provide an AI-native unified platform purpose-built to help enterprises unify Customer Experience Management (“CXM”) and bridge silos across the customer journey, tap into structured and unstructured signals and utilize AI to create a single view of customer engagement at scale. We do this by providing customer-facing teams with the capabilities they need to serve customers, share actionable insights and work together to improve customer experience outcomes. For more than a decade, we have worked with hundreds of the world’s most valuable and, in many cases, iconic brands to support their efforts to improve customer experiences, brand awareness and productivity, manage costs and mitigate brand-related risks. As of January 31, 2026, we had 1,677 customers, including 59% of the Fortune 100 companies, compared to 1,930 customers as of January 31, 2025. While our total number of customers for the fiscal year ended January 31, 2026 decreased as compared to the prior fiscal year, the decrease was partly related to a strategic refinement of our customer profile and our increased focus on top-tier enterprise customers. As of January 31, 2026, we had 141 large customers with subscription revenue equal to or greater than $1.0 million for the trailing 12-month period, compared to 149 as of January 31, 2025. While the total number of customers with subscription revenue equal to or greater than $1.0 million also decreased year-over-year, the average subscription revenue per customer in the $1.0 million cohort has increased and exceeded $3.0 million for the most recent fiscal year. Our customers include global enterprises across a broad array of industries and geographies, as well as marketing agencies, government departments, non-profit organizations and educational institutions. Our customers are located in more than 90 countries, and our AI-native Unified-CXM platform recognizes over 150 languages. We believe there is a significant opportunity to grow within our existing customer base as customers increase usage of existing products and/or add additional products across business units and geographies. The breadth of our platform also positions us to scale across more customer-facing teams to attract new buyers beyond traditional social media roles, such as the technology buying center, call center operations and data and insights teams, to name a few.