Founders: Jesse Zhang (CEO), Ashwin Sreenivas
Launched: 2023
Headquarters: San Francisco
Funding: $481 million
Valuation: $4.5 billion
Key Technologies: Artificial intelligence
Industry: Enterprise technology
Previous appearances on Disruptor 50 list: 0
Despite technological progress, customer service over the phone hasn't changed much for the better over the last 30 years. Customers typically call, navigate menus, then wait or get transferred. Companies use a toolkit of CRMs, chatbots and call centers that frequently turn customer service into a maze of frustration.
Decagon is trying to change all that by replacing the whole operation with AI agents that are actually able to solve problems. Many AI customer service phone agents today focus on handling the easy stuff: providing basic FAQ answers, booking appointments, or capturing messages. More complicated cases get handed off to human agents. As a result, customers often see AI agents as another layer of red tape.
To change this paradigm, Decagon built a platform that can authenticate users, look up orders, process returns, and update systems, all during a single call. The company uses something called Agent Operating Procedures (AOPs), which let companies define how their AI agents should behave using natural language instead of rigid configurations.
Decagon is also omnichannel: the same logic works across voice, chat, and email without being reconfigured separately for each. And Decagon emphasizes sub-second response times with latency under 400 milliseconds, because even slight delays are noticeable in conversation and can destroy the illusion that you're talking to a person.
Decagon is targeting enterprise-scale support operations and signed more than 100 global enterprise customers in 2025, including Avis Budget Group, Block, Deutsche Telekom, Affirm, and Chime.
Investors have increased their bets on the company. Decagon raised $131 million in a Series C in June 2025, followed by $250 million in a Series D that valued the company at $4.5 billion in January. The company also opened offices in New York and London and hired Sandy Li, who was previously at Scale AI, as its new finance chief.
Despite Decagon's success, the AI customer service market is crowded. Startups like fellow 2026 Disruptor Sierra and Parloa are developing AI agents, while incumbents like Zendesk and ServiceNow are integrating AI into existing platforms. Beyond simply being a cheaper alternative to human support, Decagon is seeking to build a broad customer support platform.
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