Decagon vs Pylon
A side-by-side comparison of Decagon and Pylon, two Support tools, drawn from Ignaite's continuously-verified listings.
Compared from listings verified as of
Pylon
SupportB2B support platform unifying Slack, email, and in-app channels with AI agents.
View PylonAt a glance
| Attribute | Decagon | Pylon |
|---|---|---|
| Category | Support | Support |
| Pricing | PAID | PAID |
| License | Proprietary | Proprietary |
| Deployment | Cloud | Cloud |
| Platforms (differs) | Web, API | Web |
| Model support (differs) | Multi-model | — |
| Vendor (differs) | Decagon | Pylon |
| 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
Pylon
Built B2B-first — shared Slack and Teams channels are first-class support queues, not an afterthought bolted onto a B2C helpdesk.
- Unifies email, chat, and community too
- Support + CS + engineering in one
- AI agent grounded in your docs
- Modern alternative to legacy desks
- No free tier; 3-seat minimum
- Per-seat pricing adds up
- Younger ecosystem than incumbents
When to pick which
Both cover Ticket deflection.
Pick Decagon if you need Voice agent and Email assistant.
- Voice agent (secondary capability)
- Email assistant (secondary capability)
Pick Pylon if you need Trigger-action automation, Chat with documents, and Knowledge base authoring.
- Trigger-action automation (secondary capability)
- Chat with documents (secondary capability)
- Knowledge base authoring (primary capability)
They also differ on:
- Platforms
- Web, API · Web