Cognigy vs PolyAI
A side-by-side comparison of Cognigy and PolyAI, drawn from Ignaite's continuously-verified listings.
Compared from listings verified as of
Cognigy
SupportEnterprise conversational & agentic AI for voice and chat customer service.
View CognigyAt a glance
| Attribute | Cognigy | PolyAI |
|---|---|---|
| Category (differs) | Support | Voice |
| Pricing | PAID | PAID |
| License | Proprietary | Proprietary |
| Deployment (differs) | Hybrid | Cloud |
| Platforms | Web, API | Web, API |
| Model support (differs) | Multi-model | Self-contained (on-device) |
| Vendor (differs) | NiCE | PolyAI |
| Capabilities (differs) |
|
|
The honest brief
Cognigy
Enterprise-grade contact-center depth with LLM-agnostic model choice — picked by brands like Adidas and Toyota over narrower point solutions.
- Voice and chat agents in one platform
- Low-code flow builder
- LLM-agnostic model choice
- Cloud or self-hosted deployment
- Enterprise sales motion; no public pricing
- Now part of NiCE after acquisition
- Overkill for small or simple use cases
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, Conversation intelligence, and Ticket deflection.
Pick Cognigy if you need Workflow orchestration and Multi-model access.
- Workflow orchestration (secondary capability)
- Multi-model access (secondary capability)
Pick PolyAI if you need AI app builder.
- AI app builder (secondary capability)
They share capabilities, but each leads with different ones as a headline job:
Cognigy is built around Conversation intelligence.
- Conversation intelligence (primary capability)
PolyAI is built around Ticket deflection.
- Ticket deflection (primary capability)
They also differ on:
- Deployment
- Hybrid · Cloud
- Model support
- Multi-model · Self-contained (on-device)