Head to head · Business · updated Oct 26, 2026
Sierra vs Decagon
Sierra scores 30 to Decagon's 21 on public evidence for customer support chatbot, and they rank #3 and #4 there. Both are paid. Numbers below are the same public signals the ranking uses, recomputed nightly — nothing here is sponsored.
Sierra
Enterprise conversational AI agents for customer service across chat and voice, built with brand-specific guardrails.
+ Agents take real actions (returns, bookings, account changes) with strong guardrails, and you pay only for resolved cases.
− Enterprise sales process and pricing; not self-serve for small businesses.
Decagon
AI support agents that resolve tickets end to end for large support teams.
+ Built to close tickets, with QA and reporting on what it actually answered.
− Enterprise sales cycle and no self-serve tier.
Side by side
public evidence| Sierra | Decagon | |
|---|---|---|
| Evidence score / 100 | 30 | 21 |
| GitHub stars | closed source | closed source |
| Hacker News stories, 30d | 4 | 0 |
| Release-feed mentions, 30d | 0 | 0 |
| Last activity | – | – |
| Pricing | Paid · Outcome-based, per resolution | Paid · Enterprise pricing, usually per resolution |
| Platforms | web | web, api |
| Maker | Sierra | Decagon |
Which one?
Pick Sierra if
- you want the stronger public evidence (30 vs 21)
Best for large brands automating support actions.
Pick Decagon if
- you need it on api
Best for high-volume teams replacing tier-one support.