artificial intelligence customer experience management
Business Wire
Published on : May 29, 2026
Enterprise customer intelligence platforms are rapidly evolving beyond text-based analytics as brands struggle to understand consumer behavior across video-first social platforms. Sprinklr’s acquisition of ViralMoment signals a broader shift in the customer experience and social listening market toward multimodal AI systems capable of interpreting video, images, audio, and cultural signals in real time.
The social media landscape has fundamentally changed over the past several years. Short-form video platforms such as TikTok, Instagram Reels, and YouTube Shorts are now driving a large share of consumer engagement, product discovery, and brand influence. Yet many enterprise customer intelligence and Voice of the Customer platforms still rely primarily on text-based analysis models built for earlier generations of social media.
Sprinklr is attempting to close that gap through its acquisition of ViralMoment, an AI-powered social video intelligence and analytics company focused on multimodal customer understanding.
The acquisition strengthens Sprinklr’s broader strategy of positioning itself as an AI-native Unified Customer Experience Management platform capable of helping enterprises analyze customer interactions across increasingly fragmented digital channels.
Financial terms of the acquisition were not disclosed.
The strategic rationale behind the deal reflects a major industry transition: customer communication is becoming increasingly visual, contextual, and multimodal. Consumers now express preferences, reactions, and cultural sentiment through short-form videos, memes, creator content, livestreams, and visual storytelling formats that traditional social listening tools often struggle to interpret effectively.
That limitation has created a growing blind spot for brands attempting to monitor consumer sentiment, identify emerging trends, and understand product perception in real time.
ViralMoment’s technology was designed specifically for video-native environments. The platform analyzes social content frame by frame, interpreting visuals, spoken audio, captions, and on-screen text to identify emerging cultural narratives, engagement patterns, and behavioral trends.
Rather than treating video as unstructured media, the platform converts visual content into structured intelligence that enterprise teams can operationalize across marketing, customer experience, and product development workflows.
The acquisition comes as multimodal AI becomes one of the fastest-moving areas in enterprise artificial intelligence. Companies including Google, OpenAI, Adobe, Meta, Microsoft, and Amazon are all investing heavily in AI models capable of reasoning across text, image, video, and audio inputs simultaneously.
For enterprise marketers, those capabilities could significantly reshape customer intelligence operations.
Traditional social listening systems were largely designed around keyword tracking, sentiment analysis, and text-based engagement monitoring. However, consumer behavior on platforms such as TikTok increasingly revolves around visual trends, creator aesthetics, editing styles, sounds, memes, and contextual cultural signals that are difficult to capture through conventional analytics methods.
Sprinklr believes integrating ViralMoment’s technology into its Unified-CXM platform will allow brands to identify not only which content performs well, but also why it resonates with audiences.
That distinction matters as enterprise marketing teams become more dependent on predictive audience intelligence and cultural trend analysis to inform campaign planning, influencer partnerships, product launches, and brand positioning strategies.
The company also framed the acquisition around the future of agentic AI systems. Agentic AI refers to AI platforms capable of autonomously analyzing context, making decisions, and triggering actions across enterprise workflows.
For customer experience platforms, richer multimodal data could improve how AI systems interpret customer behavior, detect sentiment shifts, and automate operational responses across marketing, support, and product functions.
Industry analysts have increasingly highlighted multimodal AI as a critical next phase of enterprise software evolution. Gartner projects that multimodal generative AI systems will become foundational to customer engagement and analytics platforms as enterprises seek more contextual understanding of customer behavior across digital ecosystems.
At the same time, IDC expects enterprise spending on AI-powered customer experience technologies to continue accelerating as brands prioritize personalization, predictive analytics, and real-time engagement optimization.
The competitive landscape in customer intelligence and social analytics is also intensifying. Sprinklr competes with enterprise experience and listening platforms including Salesforce, Adobe, Qualtrics, HubSpot, Medallia, Brandwatch, Sprout Social, Talkwalker, and Meltwater.
Many of those vendors are rapidly embedding generative AI capabilities into customer engagement platforms, but multimodal social intelligence remains a relatively early-stage category.
The acquisition could help Sprinklr differentiate itself in a market where enterprise customers increasingly expect AI systems capable of synthesizing fragmented signals across channels, content formats, and customer touchpoints.
The timing is particularly important because social media itself is becoming increasingly decentralized and algorithm-driven. Viral trends now emerge and disappear rapidly across creator ecosystems, often before traditional enterprise analytics platforms can detect them.
That has created operational challenges for brands attempting to respond to fast-moving cultural moments, shifting audience sentiment, and evolving creator behaviors.
By integrating ViralMoment’s video-native intelligence capabilities into enterprise workflows, Sprinklr is effectively betting that the future of customer intelligence will depend less on static dashboards and more on real-time, multimodal AI reasoning systems capable of understanding digital culture as it evolves.
The broader enterprise implication extends beyond marketing. Multimodal customer intelligence could increasingly influence product development, customer support operations, brand safety monitoring, market research, and executive decision-making as organizations seek more complete visibility into customer behavior across digital environments.
For enterprise marketing teams navigating the shift toward creator-led, video-first consumer engagement, the acquisition highlights how rapidly AI-driven customer intelligence infrastructure is evolving from text analysis into contextual understanding across every major digital media format.
The customer experience and social intelligence market is rapidly shifting toward multimodal AI systems capable of analyzing text, video, images, and audio simultaneously. As consumer engagement increasingly moves to short-form video and creator-led platforms, enterprise brands are seeking analytics systems that can interpret cultural signals and audience behavior beyond traditional keyword monitoring.
Major enterprise software companies including Salesforce, Adobe, Microsoft, Google, and Meta are investing heavily in multimodal AI and generative customer intelligence capabilities. At the same time, CX and Voice of the Customer vendors are racing to modernize social listening infrastructure with AI-powered contextual analysis and predictive engagement tools.
Industry analysts expect multimodal customer intelligence and agentic AI systems to become core enterprise marketing infrastructure over the next several years as brands prioritize real-time cultural awareness, personalization, and AI-driven decision-making.
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