Vapi

What Vapi does

Vapi is a developer platform that enables the creation and deployment of advanced voice AI agents. It handles complex infrastructure, allowing users to focus on building voice experiences. The platform supports natural conversations, phone call integration, API integration, and complex workflows. It combines Speech-to-Text, Large Language Models, and Text-to-Speech technologies, offering control over each component with various providers and models. Vapi provides tools for building both single-system prompt 'Assistants' and multi-assistant 'Squads' for specialized workflows. It emphasizes low-latency, real-time conversations, enterprise-grade uptime, and extensive customization options.

Products

• Vapi PlatformA unified platform for building, testing, and deploying voice agents with orchestration, real-time monitoring, and enterprise-grade configurability. It handles infrastructure and allows customization of voice, conversation flow, telephony, and integrations.
• AssistantsA Vapi primitive best for most use cases and fast iteration, using a single system prompt plus tools and structured outputs.
• SquadsA Vapi primitive for multi-assistant setups with specialization, orchestrating multiple assistants with context-preserving transfers for complex workflows.
• Vapi CLIA command-line interface that brings the full power of the Vapi platform to the terminal, mirroring dashboard functionalities.

Key capabilities

• Unified Platform for voice agents
• Orchestration, real-time monitoring, and enterprise-grade configurability
• Build, test, and deploy in minutes
• API-first design
• Enterprise-ready capabilities (Fortune 100 scale)
• Support SLA with contractual uptime and performance guarantees
• Dedicated Deployment Support
• SSO, OAuth, and RBAC
• Scalable Infrastructure (millions of calls, sub-500ms latency)
• AI Guardrails to prevent model hallucinations
• SOC 2, HIPAA, and PCI compliant
• Developer-first tools
• Ultra low latency (under 500ms responses)
• Natural conversation ability (turn-taking, human-like voices, custom pronunciation)
• Live call tool & data access
• Custom model support (200+ managed models or bring your own)
• Telephony control (Custom SIP, warm transfers, voicemail detection, phone number management, DTMF)
• Enterprise grade uptime with built-in recovery
• Full API access
• Powerful UI
• Multilingual support (100+ languages)
• Automated testing for hallucination risk
• Tool calling for data access and actions
• Reporting & Analytics (dashboards, exports)
• Bring your own models/API keys (transcription, LLM, TTS)
• A/B experiments for optimization
• Client SDK
• Server SDK
• Multi-Agent Orchestration
• Modular Platform (swap models, voices, logic independently)
• Model Fallbacks (automatic failover, latency balancing)
• Real-time conversations (sub-600ms response times, natural turn-taking)
• Phone integration (make/receive calls)
• Web integration (embed voice calls in applications)

Use cases

• Inbound Support automation
• Sales & Lead Qualification (outbound calls, lead qualification, appointment scheduling)
• Appointment Scheduling (booking requests, availability checks, confirmations)
• Medical Triage & Scheduling (emergency routing, appointment scheduling)
• E-commerce Order Management (order tracking, returns, customer support workflows)
• Customer support
• Booking and routing
• Medicare Lead Qualification
• Candidate Screening
• Freight Automation
• Building voice agents for inbound/outbound calls
• Integrating voice chat into web applications

AI approach

Vapi is a developer platform for building voice AI agents. It handles the complex infrastructure for real-time, natural conversations. Users can configure agents with Speech-to-Text, Large Language Models, and Text-to-Speech, choosing from a managed list of 200+ models and integrations or bringing their own. The platform supports multi-agent orchestration (Squads) for complex workflows and offers tools for conversation flow, telephony, and data access.

Tech named: Speech-to-Text, Large Language Model, Text-to-Speech, OpenAI, Anthropic, Google, Gladia, Deepgram, ElevenLabs

Industries served

• Automotive
• Healthcare
• Marketplace
• Staffing
• E-commerce

What it says sets it apart

• Unified platform for all voice agents
• Rapid deployment (zero to production in two weeks, get live in a week with dedicated engineer)
• High scalability (1 Billion calls supported, 2.5M+ agents launched, millions of calls with sub-500ms latency)
• Enterprise-grade security and compliance (SOC 2, HIPAA, PCI, SSO, RBAC)
• Deep control and flexibility for builders (full control over components, no vendor lock-in)
• Developer-first approach with full API access and CLI
• Natural, human-like conversation capabilities with ultra-low latency
• Comprehensive observability and testing tools (track performance, surface issues, automated testing, A/B experiments)
• Support for custom models and integrations (200+ models, bring your own API keys/self-hosted models)
• Robust telephony control and integrations
• High uptime and reliability (99.9% uptime for enterprise clients, built-in recovery)
• Model Intelligence presets for one-click configuration
• Multi-assistant orchestration (Squads) for complex workflows

Funding rounds we track

From the AI funding tracker — rounds as reported by the linked publications.