Compare
Decagon vs Meetzy
Text-first AI customer support platform vs voice-first AI agent platform. Adjacent use cases, different primary channels.
Competing for the same AI support automation budget
Decagon and Meetzy both target the budget companies allocate to AI customer support automation. As both platforms expand across channels - Decagon adding voice, Meetzy handling multi-channel workflows - the text-vs-voice distinction fades. Companies typically commit to one primary AI support platform.
TL;DR
- -Decagon is a text-first AI customer support platform used by Chime, Duolingo, Rippling, and Notion - it automates chat, email, and ticket-based support with AI agents that handle complex queries and escalations.
- -Meetzy is a voice-first platform: it automates phone calls with AI agents that handle inbound routing, outbound dialing, and complex conversational tasks over the phone.
- -Both compete for AI support automation budget: as Decagon expands to voice and Meetzy to multi-channel, the channel-based distinction fades - companies typically commit to one primary AI support platform.
- -Meetzy adds EU data residency by default and transparent per-second billing; Decagon uses custom enterprise pricing from a US-headquartered company.
Feature comparison
| Feature | Decagon | Meetzy |
|---|---|---|
| Chat + email + ticket automation | ✓ Core product | Voice-first |
| Autonomous voice AI (phone) | Secondary | ✓ Core product |
| Inbound call routing | Not primary | ✓ |
| Outbound dialing campaigns | Not primary | ✓ |
| Autonomous call scoring / evals | Text-channel quality tools | ✓ LLM per-call |
| EU data residency (default) | US-headquartered | ✓ EU by default |
| No-code agent builder | ✓ | ✓ |
| Named clients | Chime, Duolingo, Rippling, Notion | Growing |
| Per-second billing | Enterprise pricing | ✓ Published |
Key differences
Text vs voice
Decagon's excellence is in text-based support: chat, email, ticketing, and complex query resolution. Meetzy is purpose-built for voice: phone calls, inbound routing, outbound dialing.
Same budget, different bets
Both platforms compete for the AI support automation budget. As each expands its channel coverage, the question is not "which channel" but "which platform do you build your support AI around."
Pricing and compliance
Meetzy publishes transparent per-second pricing and processes data in EU infrastructure by default. Decagon uses custom enterprise pricing and is US-headquartered.
Which fits your situation
Choose Decagon if...
- -Your primary customer support channel is chat, email, or ticket-based and you want to automate high-volume text interactions
- -You are a high-growth B2C company (fintech, edtech, SaaS) looking for AI agents that handle complex support queries at scale
- -Voice is secondary to your support operation
Choose Meetzy if...
- -Your team handles significant inbound call volume or wants to run outbound voice campaigns that need AI automation
- -You need per-second billing, EU data residency, and autonomous call scoring for a voice channel
- -Voice is primary - or you want to complement an existing text support tool with a dedicated voice AI platform
See Meetzy in action.
Voice agents that book, qualify and close. EU data residency. Live in minutes.
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