Decagon: The AI Concierge for Customer Service
AI agents that resolve full customer service interactions across chat, voice, email, and SMS.
Basic Information
| Field | Detail |
|---|---|
| Company Name | Decagon (Decagon AI Inc.) |
| Tagline | AI agents that resolve full customer service interactions across chat, voice, email, and SMS |
| Category | AI Agents |
| Subcategory | Customer Service |
| Founded | 2023 |
| Headquarters | San Francisco, United States |
| Stage | Series D |
| Total Funding | ~$481 million |
| Latest Funding | $250 million · Series D · January 2026 |
| Latest Valuation | $4.5 billion · January 2026 |
| Founders | Jesse Zhang and Ashwin Sreenivas |
| Website | decagon.ai ↗ |
What Decagon Does
Decagon builds AI agents for customer service that can understand customer intent, retrieve information, execute actions, and resolve complex support requests across multiple channels.
Its platform supports chat, voice, email, SMS and other customer interaction channels through a unified AI intelligence layer.
Key Strengths
- End-to-end customer service resolution
- Omnichannel AI across chat, voice and email
- Natural-language Agent Operating Procedures
- Enterprise integrations and workflows
- Testing, analytics and agent optimization
Why It Matters
Customer service is one of the largest operational functions for many businesses. Decagon is positioning AI agents as a new layer of customer operations capable of handling increasingly complex interactions at scale.
The company’s growth also reflects increasing enterprise demand for AI systems that can move beyond answering questions and actually complete customer-service tasks.
Funding Snapshot
Company Snapshot
Customers & Scale
Decagon says its platform has served more than 10 million customers and supports leading enterprises across industries including financial services, travel, retail and technology.
Product Focus
The platform focuses on building, optimizing and scaling AI agents, with natural-language Agent Operating Procedures used to define and refine agent workflows.