Decagon vs Parloa
A side-by-side comparison of Decagon and Parloa, two Support tools, drawn from Ignaite's continuously-verified listings.
Compared from listings verified as of
Parloa
SupportAI Agent Management Platform for enterprise contact centers, voice-first and multilingual.
View ParloaAt a glance
| Attribute | Decagon | Parloa |
|---|---|---|
| Category | Support | Support |
| Pricing | PAID | PAID |
| License | Proprietary | Proprietary |
| Deployment | Cloud | Cloud |
| Platforms | Web, API | Web, API |
| Model support | Multi-model | Multi-model |
| Vendor (differs) | Decagon | Parloa |
| Capabilities (differs) |
|
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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
Parloa
Voice-first depth most support AI peers lack — a full agent lifecycle platform built for enterprise phone volume, not just chat deflection.
- Strong voice/phone automation
- Built-in agent testing and simulation
- Multilingual at enterprise scale
- Customers incl. Allianz, Booking.com
- Enterprise sales-led, no published pricing
- Heavier lift than plug-and-play helpdesk bots
When to pick which
Both cover Voice agent and Ticket deflection.
Pick Decagon if you need Email assistant.
- Email assistant (secondary capability)
Pick Parloa if you need LLM evaluation and Translation.
- LLM evaluation (secondary capability)
- Translation (secondary capability)
Parloa leans on Voice agent as a headline capability; Decagon treats it as secondary.
- Voice agent (primary capability)