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.
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.