Decagon, a provider of conversational artificial intelligence (AI) agents for customer experiences, has announced $250 million in Series D funding, bringing its valuation to $4.5 billion. The round was co-led by Coatue Management and Index Ventures, with additional participation from ChemistryVC, Definition Capital, and Starwood Capital, alongside continued support from existing investors including a16z, A*, Accel, Avra, Bain Capital Ventures, Elad Gil, T.
Capital, Forerunner, and Ribbit Capital.
This new capital triples Decagon’s valuation in six months and follows a period of growth in 2025, during which the company added over 100 new enterprise customers. Decagon has expanded its deployment across global consumer-facing sectors, including travel and hospitality, financial services, health and wellness, and online retail.
Jesse Zhang, CEO and Co-Founder of Decagon, stated that the company’s “concierge approach” to its product is influencing the market and challenging incumbent strategies. Co-founders Jesse Zhang and Ashwin Sreenivas emphasized their belief that “every customer deserves concierge treatment” and “every business deserves the technology to make it possible.” They highlight that Decagon aims to align businesses and customers by enabling individualized concierge experiences at a global scale.
Lucas Swisher, General Partner at Coatue Management, commented that Decagon is “redefining how businesses engage with their customers” by enabling “concierge-level interactions at scale.” Sofia Dolfe, Partner at Index Ventures, noted her firm’s investment in Decagon stems from the co-founders’ approach to “reimagining customer experience from first principles,” focusing on design, intention, and delight.
Brian Choi, CEO of Avis Budget Group, a Decagon client, noted that the platform is shifting their customer engagement from reactive service to “intelligent, concierge-led experiences,” which helps frontline teams resolve issues more efficiently. Decagon’s AI agents support personalized interactions across various channels, including voice, chat, email, and SMS.
Decagon’s platform is designed to be a core infrastructure for revenue growth, brand trust, and differentiation, beyond just cost reduction. It provides Agent Operating Procedures, which combine natural language instructions with code-level precision to launch AI agents quickly and safely. The platform reports average deflection rates exceeding 80%. Decagon currently powers AI concierge experiences for brands across multiple categories, including travel and hospitality (Avis, Budget, Hertz, Away Travel, Kindred rentals, Easy Park, Contiki group tours, Duolingo), financial services (Block, Affirm, Chime, Varo Bank, Betterment, Carry, Wealthsimple, Bilt, Figure Lending, Monarch Money), health and wellness (Oura Health, Noom, Nourish, ClassPass, SimplePractice, Spring Health, Brightside Health, Eight Sleep), and retail (Mercado Libre, Hunter Douglas, 1-800-FLOWERS.
COM, Ritual Cosmetics, Quince, Fi Smart Collar, Curology).
Customer adoption patterns indicate that 33% of Decagon’s clients had no prior AI automation. An additional 53% replaced existing legacy systems such as IVRs, ticketing tools, or CRM-based agents. Furthermore, 14% of clients chose Decagon over developing in-house solutions. The company reported that nearly all clients had evaluated other AI solutions but found that configuration-driven tools did not provide the desired concierge experiences.
Zhang and Sreenivas acknowledged the growth and enterprise adoption of the past year, while stating that “there’s still so much work to do.” They expressed gratitude to customers, partners, and investors.
