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Cresta vs Decagon

CrestaDecagon

Bottom line: Cresta for large enterprise contact centers; Decagon for large enterprises with high customer-support ticket volume.

CrestaCresta

AI for the contact center: agent assist and conversation intelligence

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DecagonDecagon

Enterprise AI concierge agents that autonomously resolve customer support across chat, email, and voice.

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Votes00
PricingPaidContact
CategoryChatbotsChatbots
Tags
contact-centeragent-assistconversation-intelligencecustomer-serviceenterprise
customer-serviceai-agentsupport-automation
Best for
  • Large enterprise contact centers
  • Sales and retention call teams
  • Telecom, insurance, and retail support
  • Large enterprises with high customer-support ticket volume
  • Fintech, tech, travel, retail, and marketplace brands
  • Teams wanting agents that complete actions, not just answer
Pros
  • Distinctive focus on augmenting human agents, not just replacing them
  • Real-time coaching during live interactions
  • Conversation intelligence across all calls
  • Strong funding and $100M+ ARR
  • Stanford AI research pedigree
  • Agents take real actions, not just deflect, via deep system integrations
  • Natural-language AOPs let non-technical teams shape agent logic
  • True omnichannel coverage across chat, email, voice, and SMS
  • White-glove onboarding with dedicated APMs and Forward-Deployed Engineers
  • Proven at scale with 100+ enterprise customers across many industries
Cons
  • No public pricing or free trial
  • Seat-based annual contracts, often six figures
  • Enterprise-only, long sales cycle
  • Not self-hosted
  • Overkill for small teams
  • No public pricing; every contract requires a sales process and custom quote
  • Expensive, with median annual contracts around $400K and a platform fee
  • No free plan or free trial for self-serve evaluation
  • Enterprise-only focus makes it impractical for small teams and startups
  • Deployment requires meaningful internal time and resources to configure

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