Cresta vs Decagon

Side-by-side comparison of features, pricing, and ratings

Analysis reviewed Live tool data as of 2026-09-14
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At a glance

DimensionCrestaDecagon
Pricingcontactcontact
Best forLarge contact centers in regulated industries (finance, healthcare, insurance, airlines) needing compliant AI augmentation, Enterprises trying to cut cost-to-serve without dropping CSAT or agent retentionLarge enterprises in retail, travel, financial services, health & wellness, technology, media, or telecom, CX teams that want to change agent behavior in plain English instead of waiting on engineering sprints
Standout featuresAI Agent: autonomously handles tasks like disputing fraudulent charges and replacing lost cards · AI Agent Testing 2.0: validate agent behavior before it goes live · Synthetic Customers: simulated personas for realistic pre-launch testingNatural-language Agent Operating Procedures (AOPs) for defining agent workflows · Duet Autopilot self-improving agent for conversational AI · Omnichannel AI support across chat, voice, and email from one intelligence layer
Viability score78/10060/100
APIYesYes

Cresta is the stronger pick for large contact centers in regulated industries (finance, healthcare, insurance, airlines) needing compliant ai augmentation; Decagon fits better for large enterprises in retail, travel, financial services, health & wellness, technology, media, or telecom.

Built from live tool data, last verified 2026-09-14.

Cresta
Cresta

Cresta pairs human-centric AI agents with real-time agent assist for enterprise contact centers.

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Decagon
Decagon

Decagon is an enterprise AI concierge platform for omnichannel customer support across chat, voice, and email.

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Pricing
Contact Sales
Contact Sales
Plans
—
—
Popularity
5.6k views
5.1k views
Skill Level
Intermediate
Intermediate
API Available
Platforms
WebAPI
WebAPI
Categories
💬 Customer Support☎️ Voice AI Agents & Phone Automation
💬 Customer Support☎️ Voice AI Agents & Phone Automation
Features
AI Agent: autonomously handles tasks like disputing fraudulent charges and replacing lost cards
AI Agent Testing 2.0: validate agent behavior before it goes live
Synthetic Customers: simulated personas for realistic pre-launch testing
Agent Assist: real-time generative AI guidance during live customer conversations
Knowledge Agent: instant answer retrieval for agents mid-call
Behavioral Guidance: reinforces top-performer behaviors in live conversations
Typing Efficiency: reduces handle time by speeding up agent responses
AI Summaries: automated call wrap-ups and after-contact notes
Real-Time Translation: supports multilingual customer conversations
Conversation Intelligence: post-call analysis of CX drivers
Cresta Insights: authoritative topic discovery, real-time trend detection, and agentic AI Analyst
AI Analyst: agentic analysis of conversation data for faster CX action
Automation Discovery: flags workflows ready for automation
Coach and Quality Management: agent performance and QA automation
Training Simulator: practice environment for new agents
Natural-language Agent Operating Procedures (AOPs) for defining agent workflows
Duet Autopilot self-improving agent for conversational AI
Omnichannel AI support across chat, voice, and email from one intelligence layer
Decagon Voice with human-like dialog and brand customization
Outbound voice for proactive customer engagement
Cross-channel memory that preserves context across touchpoints
Browser Actions let agents act across any web-based system
Decagon Assist gives human representatives AI support during conversations
Experiments for live A/B testing of agent changes
Simulations for testing agent changes at scale before launch
QA Hub for collaborative quality management
Watchtower always-on QA monitoring
Suggestions for AI-powered knowledge recommendations
Insights and reporting suite covering voice of the customer
In-platform collaboration for all stakeholders
Integrations
Salesforce
Zendesk
Twilio Flex
Genesys
Five9
NICE CXone
Talkdesk
Avaya
Cisco
Zoho Desk
Intercom
AWS
Google Cloud
Microsoft Azure

Frequently Asked Questions

Which is better, Cresta or Decagon?

The best choice between Cresta and Decagon depends on your specific use case — we compare them independently on features, current pricing, integrations, and real-world signals (with an on-demand sentiment scan available for each). See the side-by-side breakdown above to match them to your needs.

What are the main differences between Cresta and Decagon?

The key differences include pricing model, feature set, platform support, and skill level requirements. Review the full comparison on RightAIChoice for a detailed breakdown.

Is there a free version of Cresta or Decagon?

Check the pricing section in the comparison for the latest pricing details on both tools, including free tiers, trial options, and paid plans.

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Last reviewed: May 12, 2026