Last reviewed: May 2026
Unified customer experience platform with AI.
Sprinklr is an AI-powered customer service platform that automates support interactions and improves resolution times. It is designed for businesses, enterprises at enterprise-level organizations in the customer support and contact centers sector. Founded in 2010 and headquartered in New York, NY, the company differentiates itself through AI-native architecture and deep industry specialization.
Sprinklr is best suited for businesses, enterprises at enterprise organizations. Enterprise pricing with dedicated support and custom deployment.
Official website: Sprinklr
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The platform is designed to address the specific challenges faced by Customer Support & Call Centers organizations. Key users include Businesses, Enterprises who rely on the platform for business automation, process optimization, ticket routing. The platform is scaled for Enterprise organizations seeking to modernize their customer service capabilities. In the rapidly evolving Customer Support & Call Centers landscape, Sprinklr stands out by combining customer service capabilities with industry-specific features that address the unique challenges of business automation, process optimization, ticket routing. The platform enables Businesses and Enterprises to transition from manual, error-prone processes to automated, data-driven workflows that deliver consistent results at scale. Compared to alternatives in the customer service space, Sprinklr differentiates itself through its focus on Customer Support & Call Centers use cases, and Enterprise that accommodates organizations at different stages of their AI adoption journey.
Before adopting Sprinklr or any Customer Service solution for your customer support & call centers workflows, it is important to assess how the platform fits your specific requirements. Start by mapping your highest-priority pain points — whether that is reducing manual tasks, improving data accuracy, scaling customer interactions, or accelerating time to insight. Sprinklr positions itself as a Customer Service solution, having been in the market since 2010, so evaluate whether its feature set directly addresses those pain points rather than relying on feature-list comparisons alone.
Request a live demo or proof-of-concept trial before committing to an annual contract. During the trial, measure concrete outcomes: task completion time, error rates, user adoption speed, and integration friction with your existing stack. Compare these metrics against at least two alternative vendors in the Customer Service space to establish a meaningful benchmark. Sprinklr uses a Enterprise pricing model — make sure you understand the total cost of ownership including implementation, training, and any per-seat or usage-based fees.
Confirm deployment options meet your IT and compliance requirements. Verify what compliance certifications and data-handling guarantees the vendor provides, especially for regulated customer support & call centers environments. Also ask about the vendor's SLA for uptime, support response times, and the data export process should you decide to switch providers in the future.
Sprinklr is a Customer Service platform designed for customer support & call centers organizations. Unified customer experience platform with AI.
Sprinklr scores 8.2/10 on AI Scanner's independent evaluation. The score reflects performance (30%), usability (25%), pricing value (25%), and versatility (20%). Scores are updated monthly based on product changes, user feedback, and competitive benchmarking across Customer Service tools. Read our full scoring methodology.
The top alternative to Sprinklr on AI Scanner is Talkdesk with a score of 8.9/10. Other alternatives include Zendesk, Intercom, Five9. Compare all alternatives.
Sprinklr is designed for enterprise organizations. Its Enterprise pricing model scales with team size and usage requirements. We recommend running a pilot with your actual workflows before committing to a full deployment.
Sprinklr uses a Enterprise pricing model. For the most accurate pricing, request a custom quote directly from the vendor. Pricing may vary based on deployment scale, feature tier, and contract length. Always factor in implementation and training costs when comparing total cost of ownership against competitors.
How We Score: AI Scanner evaluates platforms across four dimensions - Performance (30%), Usability (25%), Pricing Value (25%), and Versatility (20%). Scores are updated monthly. Read our full methodology.