Decagon

Decagon builds AI support agents for companies handling large conversation volumes. Its distinguishing feature is the operational layer around the agent — the tooling that turns a deployed agent into one that measurably improves.

The platform

• AI agents across chat, email, and voice, grounded in your knowledge base and connected to your systems for real actions
• Agent Operating Procedures, natural-language rules that define exactly how the agent should handle each scenario — readable and editable by the support team rather than by engineers
• Supervision. Conversations are analysed at scale to surface where the agent struggled, what customers asked that nothing answered, and which procedures need changing.
• Human handoff with full context, so escalation does not restart the conversation
• Analytics on resolution, sentiment, and cost per conversation

Why the ops layer matters

Deploying an agent is the easy part. Knowing which of ten thousand conversations went badly, and why, is what determines whether resolution rates climb or plateau. Decagon invests there.

Sold to enterprises with quoted, outcome-aligned pricing, and deployed with implementation support. Used across fintech, e-commerce, and consumer subscription businesses.