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Parloa vs Decagon

ParloaDecagon

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

ParloaParloa

Agentic AI management platform for customer experience

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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
voice-aiagentic-aicontact-centercustomer-serviceenterprise
customer-serviceai-agentsupport-automation
Best for
  • Large enterprise contact centers
  • Organizations deploying multiple AI agents
  • Companies standardizing agent governance
  • 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
  • Purpose-built for managing agents at scale, not just one bot
  • Strong enterprise partnerships (SAP, Microsoft, OpenAI)
  • Very well funded with strong revenue traction
  • Handles both voice and chat
  • Emphasis on reliability and guardrails
  • 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
  • Enterprise-only, sales-led motion
  • Complex platform requiring resources to operate
  • Not self-hosted
  • Overkill for small businesses
  • 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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