Vapi is the developer-first voice AI platform. The pitch is straightforward: build and deploy voice AI agents at enterprise scale. Vapi's homepage cites under 500ms average latency, 1 billion calls supported, 99.9% uptime for enterprise clients, and 2.5M+ agents launched. The company raised a Series B of $50M, signaling serious traction in the voice agent category.
Vapi handles the full voice agent stack: speech-to-text, LLM reasoning, text-to-speech, telephony, and real-time monitoring. You configure the voice, the conversation flow, the telephony numbers, and the integrations. Vapi runs the underlying infrastructure that keeps latency low and uptime high.
The Amazon Ring case study on Vapi's homepage is concrete: "zero to production in two weeks, and 100% of our inbound volume now runs through Vapi. CSAT scores have improved." GoHealth claims "$10M+ saved annually over one million calls." Those numbers signal that Vapi has crossed the line from prototype tool to production-grade voice infrastructure.
Vapi supports English, Spanish, Italian, French, and multi-lingual conversations. Real-time monitoring lets your team intervene mid-call when needed.
Vapi's pricing is per-minute with enterprise tiers via sales contracts. Specific per-minute rates depend on the model and TTS voice you pick. See vapi.ai/pricing for current rates.
| Axis | Vapi | Retell | Bland |
|---|---|---|---|
| Latency claim | Under 500ms | ~600ms (claims leader) | Not published |
| Scale claim | 1 billion calls, 2.5M agents | Not published | Enterprise customer-cited |
| Deployment | Cloud | Cloud | Cloud + on-prem + VPC |
| Languages | EN, ES, IT, FR + more | Multi-language | 40+ languages |
| Best for | Developer flexibility at scale | Lowest-latency turn-taking | Enterprise + compliance |
Full breakdown: Vapi vs Retell.
Pros:
Cons:
If a SellerShorts tool builder shipped an outbound AI sales agent that called Amazon agency prospects, Vapi would be my default recommendation. The developer flexibility, the Amazon Ring case study, and the under-500ms latency match what a serious voice agent needs. Pair Vapi with the OpenAI Agents SDK Realtime API for the LLM side, or with the Claude Agent SDK if you prefer Anthropic-side LLM work, and you have a credible production stack.
Developer-first signup, per-minute pricing. Enterprise tiers via sales.
Selling on Amazon and want AI tools sized for your stack? See the Amazon AI hub.
Vapi is a platform for building and deploying voice AI agents at enterprise scale. The platform handles orchestration, real-time monitoring, telephony, and integrations. Per Vapi's homepage, the platform has supported 1 billion calls with 99.9% uptime for enterprise clients and 2.5M+ agents launched.
Under 500ms average latency, according to Vapi's marketing. For voice agents, latency is the single most important quality metric. Under 500ms feels like a natural conversation; over 1 second feels robotic.
Vapi wins on developer flexibility and the largest existing scale. Retell is the latency leader per its own benchmarks. Bland positions for enterprise with infrastructure ownership and compliance. For most developer-led voice agent builds in 2026, Vapi is the default starting point.
Yes. Vapi raised a Series B of $50M. The funding signals serious traction in the voice agent category. Customer claims on Vapi's homepage include Amazon Ring ('zero to production in two weeks, 100% of inbound volume') and GoHealth ('$10M+ saved annually over one million calls').