Decagon vs PolyAI
A side-by-side comparison of Decagon and PolyAI, drawn from Ignaite's continuously-verified listings.
Compared from listings verified as of
At a glance
| Attribute | Decagon | PolyAI |
|---|---|---|
| Category (differs) | Support | Voice |
| Pricing | PAID | PAID |
| License | Proprietary | Proprietary |
| Deployment | Cloud | Cloud |
| Platforms | Web, API | Web, API |
| Model support (differs) | Multi-model | Self-contained (on-device) |
| Vendor (differs) | Decagon | PolyAI |
| Capabilities (differs) |
|
|
The honest brief
Decagon
Prices per conversation or resolution, not per seat, and lets ops teach agents via natural-language procedures.
- Outcome-based pricing
- Ops author logic, engineers keep guardrails
- Chat, email, and voice
- Takes actions, not just answers
- Enterprise sales-only
- Setup and tuning required
- Model choice abstracted away
PolyAI
An end-to-end managed contact-center agent on its own Raven model — not a developer toolkit you assemble from telephony, LLM, and TTS parts.
- Handles complex multi-turn calls
- Enterprise compliance built in
- No-code studio plus developer ADK
- 2,000+ live deployments, 45 languages
- Custom enterprise contracts only
- No self-serve or SMB tier
- No public pricing
When to pick which
Both cover Voice agent and Ticket deflection.
Pick Decagon if you need Email assistant.
- Email assistant (secondary capability)
Pick PolyAI if you need AI app builder and Conversation intelligence.
- AI app builder (secondary capability)
- Conversation intelligence (secondary capability)
PolyAI leans on Voice agent as a headline capability; Decagon treats it as secondary.
- Voice agent (primary capability)
They also differ on:
- Model support
- Multi-model · Self-contained (on-device)