Overview
Decagon provides an AI customer-experience platform for enterprises. Its agents work across voice and digital channels, with shared customer context, business-specific procedures and controls for the teams responsible for the service.
What Decagon does
Decagon helps enterprises build and operate agents around customer journeys. Its Agent Operating Procedures describe the logic the agent should follow, while Duet gives teams a way to develop and revise that behavior without treating every change as a new engineering project.
Technical teams retain visibility into integrations, guardrails and versioning. Context can persist across sessions and channels, connecting the conversation to the company’s systems rather than making the customer start over at each handoff.
Insights and Reporting analyzes agent performance and customer conversations, including topics, outcomes and areas for improvement. The platform is intended to support the operation of an enterprise service function, rather than only automate an initial response or summarize a support ticket.
Differentiation
Compared with a first-response chatbot
Decagon combines conversation handling with procedural logic, integrations and continuing context, allowing an agent to participate in the broader service workflow.
Compared with a black-box implementation
Its procedures and development tools are designed to let business and technical teams inspect, revise and govern the agent’s behavior.
Company details
- Headquarters
- San Francisco, California, US
- Founded
- 2023
- Stage
- Series D
- Funding
- $250M Series D round
Founders & leadership
Investors & backers
Decagon lists these backers on its company page.
Andreessen Horowitz
Accel- Bain Capital Ventures
- Coatue
- Index Ventures
