For enterprise customer experience and social teams, Sprinklr is an AI-native CXM platform that unifies service, social, insights, and marketing into one system, using AI agents and Copilot to automate conversations across 30+ channels.
Presence & Market Position
Tracked · below panel floor — earned mentions are accruing toward the next scored window.
Measures earned, engagement-weighted share of voice across the GTM voices panel. Methodology →
Sprinklr positions itself as an AI-native customer experience platform, arguing that AI works best woven through service, social, marketing, and insights as one system rather than layered on top, with Copilot and a growing set of AI Agents built to carry that work across more than 30 channels for large enterprise teams. Its presence is built on scale: a long roster of global enterprise customers and a platform built to combine functions that usually sit in separate tools. Within the specific conversation GTM operators have about tooling, it reads as a quieter footprint so far, told more through platform scope and customer base than through day-to-day category chatter.
Mastercard Dynamic Yield
Campaign Monitor by Marigold
Uberall
Bluecore
CreatioMicrosoft, Ford, Uber, LG Electronics, Puma, 3M, Prada, Deutsche Telekom, WebMD, Infosys
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Business Profile
Sprinklr went public after building out from a single idea: combining customer-facing functions like service, social, marketing, and insights, which usually sit in separate systems, into one platform. Founded in 2009 and expanded over the following decade through platform acquisitions including Dachis Group and Get Satisfaction, it now reports $857M in revenue, up 8% year over year for fiscal 2026, and trades at roughly a $1.4B market cap. The company has flagged fiscal 2026 as a transition year focused on durable, efficient growth rather than acquisition-led expansion, working from an enterprise base that includes Microsoft, Ford, and Uber.
Agent Readiness
Not yet graded.
Measures how easily your agents can build on it — API, MCP, CLI, SDK, docs depth. Methodology →
Sprinklr's build-out centers on Copilot and AI Agents woven through service, social, marketing, and feedback workflows, paired with governance tooling (testing, simulation, and autonomous evaluation) built to validate agent behavior before and after deployment. A Model Context Protocol integration, in beta, surfaces customer intelligence directly inside Microsoft Copilot, ChatGPT, and Claude, letting external agents pull live sentiment and campaign data without a manual export. The arc points toward agents that operate across channels without handoff gaps.
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