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Vapi

Founder-Friendly
AI Sales AgentsConversation IntelligenceSales EngagementActive

The developer platform for building AI voice agents — Twilio for the AI calling era, loved by builders, ignored by non-technical teams

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GTM Pipeline Position

Prospect
Enrich
Sequence
Deliver
Engage
Analyze
Close

The Verdict

“Vapi is the go-to platform for developers building voice AI agents. Its extreme configurability, proven scale, and enterprise security make it ideal for companies that want full control over their voice AI stack. Not for non-technical teams seeking plug-and-play solutions.”

Best For

Technical teams building custom AI voice agents for appointment setting, qualification, or customer service workflows

Not Great For

Sales teams without developer resources — Vapi requires coding to set up and maintain AI voice agents

Overview

Vapi is a developer platform for building and deploying advanced voice AI agents. It provides the most configurable API for voice AI products, supporting inbound and outbound calls, multilingual agents, tool calling, A/B testing, and enterprise-grade reliability with 300M+ calls processed.

Target Users

Developers, AI engineers, companies building voice AI products

Team Size

1-500+

Capabilities

Key Features

  • Configurable voice AI API (4.2K+ configuration points)
  • Inbound and outbound call handling
  • 100+ language support (multilingual)
  • Bring your own models (transcription, LLM, TTS)
  • Tool calling (plug in your APIs)
  • A/B experiments for optimization
  • Automated testing for hallucination detection
  • Client and server SDKs
  • 40+ app integrations

Benefits

  • Build voice AI products in minutes, deploy in days
  • Most configurable API means full control over voice agent behavior
  • Enterprise reliability at scale (300M+ calls processed)
  • BYO models reduces vendor lock-in
AI Features
Full voice AI stack: transcription, LLM processing, text-to-speech, AI guardrails, automated testing, A/B experiments
Ease of Use
Moderate — developer-focused with excellent docs but requires technical skills

Pros & Cons

Pros

  • +Most configurable voice AI platform on the market
  • +Massive scale proven (300M+ calls)
  • +BYO models prevents vendor lock-in
  • +Excellent developer experience and documentation
  • +Enterprise security (SOC2, HIPAA, PCI)

Cons

  • -Requires development skills to implement
  • -Per-minute costs can add up at scale
  • -No plug-and-play UI for non-technical users
  • -Pricing not transparent on website

Outbound Use Cases

AI-powered cold calling at scaleAutomated appointment settingLead qualification via voiceInbound call handling

Financials & Scale

Pricing Model
Usage-based (per minute)
Starting Price
Pay-as-you-go
Cost at Scale
Variable — per-minute based on model choices
Total Funding
$40M
Last Round
Series A
Users Claimed
500K+ developers, 2.5M+ assistants launched
Free Trial
Yes
PlanPriceLimitsFeatures
Free/DeveloperPay-as-you-go—API access, SDKs (Client & Server), Community support
EnterpriseCustomCustom99.99% uptime, Forward-deployed engineer, Sub-500ms latency, AI guardrails, SOC2, HIPAA, PCI compliant, Custom infrastructure
Free Tier Limits
Free credits to get started
Credit Model
Per-minute billing based on transcription + LLM + TTS costs
Pricing Comparison Note

Vapi charges per-minute for AI calls — typically $0.05-0.10/min. Bland is similar. Retell is comparable. Orum is $200-300/user/mo for human parallel dialing. Per-minute AI calling costs are dramatically lower than human callers — but conversion rate differences determine true ROI.

The Reddit Pulse

Sentiment: Very positive and actively discussed in AI/automation communities. Users building voice AI agents frequently mention Vapi alongside Retell and AgentVoice. Popular in n8n and AI automation communities.

Community Pros

  • +Low latency and good call flow handling
  • +Integrates well with n8n, Twilio, OpenAI
  • +Active developer community
  • +Real results reported — 1 booked call/day on ~20 dials
  • +Handles inbound calls, appointment setting, lead qualification

Community Cons

  • -Requires technical setup (not no-code)
  • -Voice can drift off script in longer conversations
  • -Edge cases require significant debugging
  • -Per-minute pricing can add up at scale
Source Thread 1 Source Thread 2 Source Thread 3

Thinking of Switching?

Bland
Similar AI voice platform — direct competitor with enterprise focus
Retell
Developer-friendly voice AI with good latency
Vocode
Open-source voice agent framework
Orum
Parallel dialer for HUMAN callers — augments instead of replaces
Kixie
Traditional dialer with CRM integration — no AI voice

Competitive Landscape

Bland.aiRetell AISynthflowAir AIVocode

Technical Stack

API Access
Compliance
SOC 2, HIPAA, PCI compliant (Enterprise)
Platforms
API, Web Dashboard, SDKs (TypeScript, Python)

Integrations

40+ appsCustom API integrations via tool calling
Zapier / Make / n8n
Data Export
API, Webhooks

Data Intelligence

Data Specialty
Signal Types

Head-to-Head Comparisons

Company Intel

Headquarters
San Francisco, CA
Founded
2023
Leadership
Jordan Dearsley
Employees
51-200
LinkedIn

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Resources & Links

Support Channels
Community (Discord)EmailForward-deployed engineer (Enterprise)
Pricing Page
#voice-ai#ai-agents#phone-automation#developer-api#outbound-calls#inbound-calls#conversational-ai#voice-bot#telephony