Decagon vs Vapi
A detailed side-by-side comparison to help you choose the right AI customer support agent for your needs.
Decagon
Decagon builds enterprise AI agents designed specifically for complex customer support workflows where resolving a single ticket may require interacting with multiple backend systems, applying nuanced...
- Complex multi-system workflow execution across CRMs, billing, and databases
- Full support history training including edge cases and escalations
- Policy engine for encoding business rules without engineering resources
- Full conversation lifecycle handling from inquiry to resolution confirmation
- Human benchmark comparison on accuracy and satisfaction metrics
- Handles genuinely complex enterprise workflows that simpler tools cannot
- Policy engine lets operations teams configure agent behavior without engineers
- Human benchmark reporting provides honest performance transparency
- Enterprise-only positioning excludes smaller companies
- Deep integration setup requires meaningful implementation investment
Vapi
Vapi is the leading voice agent infrastructure for developers — a platform you wire into your phone system to deploy AI agents that handle calls, take orders, qualify leads, and execute customer-suppo...
- Real-time voice agent infrastructure (sub-500ms latency)
- Bring-your-own LLM (OpenAI, Anthropic, custom endpoints)
- Bring-your-own voice (ElevenLabs, OpenAI, custom clones)
- Bring-your-own telephony (Twilio, Vonage, SIP)
- Tool calling for CRM / database / API actions
- Best-in-class latency (<500ms) makes voice agents feel natural
- Bring-your-own everything (LLM, voice, telephony) — no vendor lock-in
- Pay-as-you-go pricing scales with usage, no upfront commitment
- Developer-facing — non-technical buyers should look at Sierra / Decagon
- Per-minute costs add up at scale (typical mid-volume: $5K-$30K/mo)
Verdict: Decagon vs Vapi
Pick Decagon if you need enterprise ai agents handling complex, multi-system support workflows. Pick Vapi if you need voice ai infrastructure for developers building phone-based ai agents.
Vapi supports 4 models.
Who should buy this
Decagon
- Enterprise CX team replacing tier-1 ticket volume with autonomous agents
- Mid-market support org with deep multi-system workflow needs (CRM + billing + product)
- Ops team that wants to encode policies (refund eligibility, SLA tiers) without engineering
- SMBs or early-stage startups (enterprise-only positioning)
- Teams needing self-serve onboarding (sales-led + implementation services)
Enterprise contracts (custom). Typical mid-market starting commitment ~$60-120K/yr based on conversation volume.
Verified 2026-05-02
Vapi
- Developer building voice AI as a product feature (receptionist, scheduler, qualifier)
- Startup with phone-heavy customer interaction (food, healthcare, real estate)
- Engineering team wanting BYOL LLM control over voice agent stack
- Non-technical buyers wanting an out-of-box CX platform (Sierra / Decagon better)
- Buyers without dev resources to wire BYOL pipeline
Free $10 trial. Indie dev / small deployment: $50-$500/mo. Mid-volume voice agent fleet: $5K-$30K/mo. Enterprise: custom contracts.
Verified 2026-05-03
Capabilities at a glance
| Capability | Decagon | Vapi |
|---|---|---|
| Multi-system workflow execution | CRM + billing + DB + custom APIs | — |
| Policy / business-rule engine | Agent Operating Procedures | — |
| Voice channel | — | |
| Chat / email channel | — | |
| Self-serve signup | — | |
| Human-in-the-loop escalation | — | |
| Real-time voice pipeline (STT + LLM + TTS) | — | <500ms latency |
| Bring-your-own LLM | — | |
| Bring-your-own voice | — | |
| Bring-your-own telephony | — | |
| Tool calling in voice agents | — | |
| 50+ language support | — | |
| BAA for HIPAA | — | Enterprise |
| On-prem / self-hosted | — |
Security & compliance
| Standard / control | Decagon | Vapi |
|---|---|---|
| SOC 2 | Type II | Type II |
| HIPAA | — | |
| GDPR | ||
| SSO / SAML | ||
| RBAC | ||
| Audit logs | ||
| Trains on customer data | No | No |
What users say
Vapi
Y Combinator-backed voice AI startups, Healthcare scheduling apps, Restaurant ordering systems
Frequently asked questions
What AI models do Decagon and Vapi use?+
Decagon runs on GPT-4o, Claude, Proprietary fine-tuned enterprise models. Vapi runs on GPT-4 / GPT-5, Claude family, Gemini, Custom (BYO).
What is the main difference between Decagon and Vapi?+
Decagon is positioned as best for enterprise ai agents handling complex, multi-system support workflows, while Vapi is positioned as best voice ai infrastructure for developers building phone-based ai agents. Pick the one whose strength aligns with your primary use case.
Which has better integrations, Decagon or Vapi?+
Decagon integrates with Salesforce, Zendesk, Rippling, Stripe and 3 more. Vapi integrates with Twilio, Vonage, OpenAI, Anthropic and 3 more.
What are the main weaknesses of Decagon and Vapi?+
Decagon's main drawback: enterprise-only positioning excludes smaller companies. Vapi's main drawback: developer-facing — non-technical buyers should look at sierra / decagon.
Are Decagon and Vapi worth it in 2026?+
Both remain competitive customer support options in 2026. Decagon stands out for handles genuinely complex enterprise workflows that simpler tools cannot. Vapi stands out for best-in-class latency (<500ms) makes voice agents feel natural. Choose based on which trade-offs fit your workflow and budget.