Vapi
vapi.ai- Category
- AI Agents
- Rank
- No. 598Tools index
- Pricing
- Freemium
- Type
- APP
- Use case
- Agent Building · Workflow Automation
- Interfaces
- Web · SDK · API
- Builder
- @Vapi_AI
- Date
About
Vapi is a developer platform for building, testing, and deploying conversational voice AI agents at scale. It handles all the infrastructure — telephony, orchestration, real-time monitoring — so developers can go from prompt to production in minutes. Used by enterprise clients for use cases like customer support, lead qualification, and appointment scheduling.
What it does
A platform for building phone-based voice agents that can talk with customers, handle calls at large volume, and connect into a company's existing systems. The vendor's site highlights configuration of voice, conversation flow, telephony, and monitoring of call outcomes.
Stated on the product site
- Compliance certifications
- The vendor states the platform is SOC 2, HIPAA, and PCI compliant
- Access control
- The vendor lists enterprise sign-on and role-based access controls
- Interfaces
- The vendor describes the product as API-first with an integrations offering
- Support model
- The vendor offers a contractual support SLA and a dedicated deployment engineer for enterprise customers
Not stated on the site
- The page does not state a specific pricing structure or plan tiers for using the platform.
- The page does not describe which programming languages or SDKs are available for integration.
- The page does not specify which telephony providers or regions are supported for call infrastructure.
Written from the product site at vapi.ai.
What it can do
Build and deploy conversational voice AI agents
Natural language prompt or agent configuration → Live voice AI agent ready to handle calls
Handle inbound and outbound phone calls
Phone number and call routing configuration → Managed telephony connection with real-time voice interaction
Qualify leads through automated voice conversations
Lead qualification script and prospect contact information → Scored or filtered leads with collected responses
Schedule appointments via voice interaction
Availability data and scheduling logic → Confirmed appointment booked through voice conversation
Monitor voice agent calls in real time
Active call session → Live transcripts, metrics, and agent performance data
Test voice AI agent behavior before deployment
Agent configuration and test scenarios → Simulated call results and performance evaluation
Orchestrate multi-step voice workflows
Workflow logic connecting voice agent to external APIs or tools → Automated multi-turn conversation executing defined actions
Scale voice agent infrastructure across enterprise call volumes
Deployed voice agent and volume configuration → Concurrent call handling across large numbers of simultaneous sessions
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