Decagon

Decagon builds enterprise AI customer support agents that resolve customer issues across voice, chat, and email through natural-language workflows.

Decagon is an AI agent platform for customer experience, enabling businesses to build, manage, and optimize intelligent virtual agents that deliver personalized, concierge-style support at scale. Its core innovation, Agent Operating Procedures (AOPs), lets teams define workflows in natural language rather than rigid configuration languages, allowing fast iteration. A single intelligence layer powers omnichannel deployment across voice, chat, and email, with cross-channel memory and personalization. The platform includes live A/B testing and simulation, a conversation analytics suite, continuous QA monitoring (Watchtower), and AI-powered knowledge suggestions. Decagon serves enterprises across retail, travel and hospitality, technology, financial services, health and wellness, media, and telecommunications, with customers including Chime, Duolingo, Oura, Rippling, Notion, and Eventbrite. Founded in 2023 by Jesse Zhang and Ashwin Sreenivas, the company reached a $4.5B valuation following a $250M Series D round in January 2026.

Category

AI Agents & Orchestration

Pricing

custom, usage-based, per-resolution, per-conversation, annual contract

Target Market

Enterprise, Retail, Financial Services, Travel & Hospitality, Health & Wellness, Technology, Media, Telecommunications

Founded

2023

Headquarters

San Francisco, California, USA

• ✓
  Agent Operating Procedures (AOPs)

  Natural-language workflow definitions that let teams build and iterate on AI agent behavior without complex configuration languages.

• ✓
  Omnichannel deployment

  A single intelligence layer that powers AI agents consistently across voice, chat, and email, with cross-channel memory and personalization.

• ✓
  Testing and experimentation

  Live A/B testing and large-scale simulation to validate agent behavior before and during deployment.

• ✓
  Analytics suite and Watchtower QA

  Conversation insights, customer intelligence, and continuous quality-assurance monitoring of agent interactions.

• ✓
  Knowledge suggestions

  AI-powered recommendations that surface and improve the knowledge base feeding the agents.

• •
  Automated customer support resolution

  Resolve customer inquiries end-to-end across chat, email, and voice, reducing reliance on human agents and lowering cost per ticket.

• •
  Concierge-style personalized experiences

  Deliver personalized, brand-consistent interactions that remember context across channels for retail, travel, and consumer brands.

• •
  Agent quality assurance and optimization

  Use simulation, A/B testing, and Watchtower monitoring to continuously measure and improve resolution quality at scale.

Pricing is not public; quoted custom by sales. Decagon offers per-conversation and per-resolution (outcome-based) pricing. Third-party reports cite annual contracts roughly in the $95K–$590K+ range; not officially confirmed.

This page was written from 5 sources, 4 on domains other than decagon.ai.

1. 1.decagon.ai — decagon.aivendor
2. 2.crunchbase.com — decagon 485e
3. 3.bloomberg.com — ai customer support startup decagon valued at 4 5 billion
4. 4.g2.com — reviews
5. 5.sacra.com — decagon