Decagon
Build, optimize, and scale AI agents that treat every customer like the only one.
Decagon is an enterprise AI platform that builds, deploys, and scales conversational AI agents for customer support across voice, chat, and email channels. It uses natural-language Agent Operating Procedures (AOPs) to define workflows without complex configuration languages, enabling rapid iteration without engineering sprints. The platform provides analytics, observability, and testing tools to continuously improve agent performance.
Teams define agent workflows in natural language via AOPs, then deploy omnichannel AI agents across voice, chat, and email with built-in testing, observability, and analytics.
Enterprise customer experience and CX operations teams
Background.
- Status
- launched
- Business model
- unknown
- Company
- Decagon
Similar projects.
Editorial take on the space this project sits in — momentum signals, adjacent moves, our call on whether the wedge is real. Get pinged when we publish a new read or when the landscape shifts.
Have a take on this space?
Tell us what you’d build differently, where you think the incumbents miss, or what we’ve gotten wrong about this project. Comments + reactions are coming soon.