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Decagon AI vs Fixie AI

Two of the most-asked-about agents in the customer-support space. Here's how they actually stack up.

Decagon AI

AI-native customer support agent for high-volume enterprise teams

Enterprise

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Fixie AI

Developer platform for building voice AI agents that handle inbound and outbound phone calls

Free tier

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Side-by-side comparison

Decagon AI Fixie AI
Tagline AI-native customer support agent for high-volume enterprise teams Developer platform for building voice AI agents that handle inbound and outbound phone calls
Pricing Enterprise Free tier
Categories customer-support, enterprise voice-agents, voice, api, developer-tools
Made by Decagon Fixie AI
Launched 2023 2023-05
Platforms Web, API API, Web
Status active active

Decagon AI highlights

  • + AI agents that resolve customer support tickets end to end
  • + Multi-step reasoning across complex, multi-turn support conversations
  • + Deep integration with Salesforce, Zendesk, Intercom, and custom back-end systems
  • + Real-time action execution in connected systems (refunds, account changes)
  • + Escalation to human agents with full conversation context

Fixie AI highlights

  • + Real-time voice agents that handle phone calls with sub-second latency
  • + Inbound and outbound call handling with programmable logic
  • + Function calling so agents can query APIs, look up data, and take actions mid-call
  • + Webhook integration for real-time event handling during conversations
  • + Custom voice selection with multiple TTS providers

Frequently Asked Questions

Which is better, Decagon AI or Fixie AI?
Neither is universally better. Decagon AI (Enterprise) leans into customer-support, while Fixie AI (Free tier) is closer to voice-agents. Pick based on which workflow you actually do every day.
What is the price difference between Decagon AI and Fixie AI?
Decagon AI is enterprise. Fixie AI is free tier. See the pricing row in the comparison table.
Can I use Decagon AI and Fixie AI together?
In most cases, yes. They serve overlapping but distinct needs, so running them side by side is common until you decide which fits your workflow.
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