# The enterprise platform for voice AI

Talk to Vapigive it a Try

## Proven in production

calls supported monthly  
62M+‎  
uptime for enterprise clients  
99.9%‎  
average latency  
sub-500ms‎

## Low-latency, realistic agents that build trust.

Eliminate frustrating conversational pauses. Vapi’s ultra-low latency ensures a natural, fluid conversation that leads to higher task completion and customer satisfaction.

### Success story

<500ms average latency-to-response.  
50% cost reduction  
90% improvements in show-up rates

## From prototype to production, fast.

Bypass the 12-18 month traditional build timeline. Our platform provides the scalability and reliability to launch a production-ready agent in weeks.

### Success story

100k call mins in 30 days of launch  
10 months engineering time saved  
3+ new features built

## Enterprise-ready capabilities

Everything a Fortune 500 needs out-of-the-box to deploy at scale.

- 99.9% reliability
- Scalable infrastructure for 10M+ calls
- Premium throughput and security
- Role-based access control
- SSO, OAuth
- Forward-deployed team
- Enterprise SLA
- SOC 2, HIPAA, and PCI compliance
- Unified platform

## Complete voice agent lifecycle

Transform voice AI agents at scale—Vapi unifies orchestration, monitoring, reliability, and growth in one platform.

### Build

- API-exposed
- Modular platform
- Multi-agent orchestration
- Telephony and WebRTC integrations
- Memory
- MCP

### Deploy

- Versioning
- A/B tests
- Evals
- Test Suites

### Observe

- Logging
- Debugging
- Reporting and Analytics
- Structured outputs
- Alerts

### Scale

- 99.9% reliability with Vapi Dynamic Compute
- Model Fallbacks and latency balancing
- Enterprise rate limits across providers
- SOC-2/HIPAA

## Developer-first for total control. Zero tooling overhead.

Build what you need. Vapi empowers developers to fine-tune every part of your voice AI experience, without building custom tooling.

```javascript
await vapi.start({
 model: {
   provider: 'openai',
   model: 'gpt-4o-mini',
 },
 voice: {
   provider: '11labs',
   voiceId: 'burt',
 },
 transcriber: {
   provider: 'deepgram',
   language: 'en-US',
 },
 startSpeakingPlan: {
   waitSeconds: 0.3,
 },
 stopSpeakingPlan: {
   numWords: 0,
   voiceSeconds: 0.2,
   acknowledgementPhrases: ['uh-huh', 'okay'],
 },
});
```

Over 4,200 config points

Fine-tune everything, from voice latency to error handling.

Webhook and custom model integrations

Bring your own LLM, call external systems, and trigger logic in real time.

MCP management

Standardize how you connect and manage multiple AI models across workflows.

Logging and observability

Pinpoint exactly where problems occur with detailed logs. Iterate faster and debug with confidence.

API/CLI access

Full programmatic control for deployment, monitoring, and scaling directly from your development environment.

## Customer Stories

### How teams scale with AI agents

1.   
   [1M+ minutes of voice screening per month.](/content/blog/case-study-instawork/index.html)  
2.   
   [4 engineers matched the output of 50 call center agents.](/content/blog/case-study-SVG/index.html)  
3.   
   [Saves 100+ engineering hours per month.](/content/blog/fleetworks-saves-100-engineering-hours-per-month-2/index.html)