Cresta vs Decagon
A side-by-side comparison of capabilities, autonomy, integrations, and pricing to help you choose.
Short answer: choose Cresta if you want contact center ai platform with autonomous agents and real-time agent assist (Supervised agent, enterprise); choose Decagon if you want enterprise ai agents that resolve customer support end to end (Supervised agent, enterprise).
| Cresta | Decagon | |
|---|---|---|
| What it is | Contact center AI platform with autonomous agents and real-time agent assist | Enterprise AI agents that resolve customer support end to end |
| Type | platform | agent |
| Autonomy | Supervised agent | Supervised agent |
| Pricing | enterprise | enterprise |
| Best for | enterprise | enterprise, mid-market |
| Deployment | saas, api | saas, api |
| Modalities | voice, text, api | text, voice, email |
| Models | model-agnostic, proprietary | model-agnostic |
| Protocols | rest-api, function-calling | function-calling, rest-api |
| Integrations | Genesys, NICE CXone, Five9, Amazon Connect, Twilio, Cisco | Zendesk, Salesforce, Intercom, Slack |
| Capabilities | 4 documented | 3 documented |
Cresta
- +Unified platform: autonomous AI agent, real-time agent assist, conversation intelligence, and auto-QA in one stack
- +Well-reviewed real-time guidance and 100% automated quality coverage
- +Strong compliance posture (reportedly SOC 2, HIPAA, GDPR, PCI-DSS, ISO/IEC 42001)
- -Expensive, enterprise-only, with multi-week implementation and a dedicated ops owner required
- -No public pricing; the only public figures come from marketplace listings
Decagon
- +High autonomous resolution on common request types
- +True omnichannel: chat, email, and voice
- +Well funded and rapidly growing, low vendor-risk for enterprises
- -Enterprise-only with no public self-serve pricing
- -Aimed at high-volume brands; overkill for very small teams
Which should you choose?
Cresta is contact center ai platform with autonomous agents and real-time agent assist, best for enterprise. Decagon is enterprise ai agents that resolve customer support end to end, best for enterprise, mid-market. The right choice depends on the autonomy level you want, your existing integrations, and your budget, all compared above.