Build, test and deploy voicebots in minutes rather than months.
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Build, test and deploy voicebots in minutes rather than months.
Hi everyone,
One year ago, we launched on this platform with a vision to transform voice AI. Today, Vapi has grown to 100,000+ developers and recently raised our $20M Series A.
Voice AI isn't 100%, but Vapi is easy to use and definitely some of the best voice AI capabilities I've seen
After evaluating multiple Voice API platforms, we found that Vapi best met our requirements for building a multi-agent voice system on top of a Voice API layer.
Vapi
🗣️ Voice AI is taking off—but building reliable voice agents still takes most teams weeks or months of stitching together and scaling infrastructure. With Vapi, our goal is to compress that down to minutes. A single platform where developers can deploy and scale voice agents without wrangling telephony, speech models, or orchestration logic ☎️
Want to hear Vapi in action? Call me: 🤙 1-844-HEY-VAPI
What's New Since Our Last Launch
🔗 API Integrations: You can now connect Vapi to 100+ providers across transcription, LLMs, and TTS. We’ve also added integrations for SIP, cloud infra, observability tools, and native hooks into calendars, CRMs, and more.
🔧 Embedded Tools: Turn-taking orchestration, noise cancellation, voicemail detection, and a test rig for simulating complex call flows.
🎙️ Deep Customization: The assistant layer now includes a prompt composer, support for persistent memory, dynamic variables, real-time endpointing, multilingual output, OpenAI’s speech-to-speech model, and more.
📈 Infra at Scale: We’ve now powered over 44 million calls with <500ms latency. The system handles long calls (60+ minutes) and meets enterprise standards like HIPAA and SOC-2.
🌐 Deploy Anywhere: Telephony, Web, iOS, Android, React Native, Flutter, Python.
🚀 New Features
🔍 Query Tool for Knowledge Bases: Attach structured or unstructured knowledge to your agent for more contextually grounded responses.
⚙️ Conversational Workflows: Visually build out flows that split complex conversations into manageable, deterministic steps.
🛠️ Assistant Tools: Call transfers, hang-ups, data retrieval, voicemail detection, keypad dialing, plus automation integrations with tools like Make and GHL.
🧩 Observability: Integrated with Langfuse. See transcripts, call outcomes, engagement metrics, quality ratings, and success/failure evaluations.
🎤 Vapi Voices: We trained 10 new voices on actual human conversations. One of them is mine—curious which? You know what to do 🤙1-844-HEY-VAPI
➡️ Why Vapi?
We’re building for developers who want full control over the voice layer—without spending months on plumbing.
Our community includes 150,000 developers, from indie devs to Fortune 500 enterprises.
We’ve handled 44 million+ calls to date, all in sub-500ms latency.
➡️ Special Product Hunt Offer
To make it easier to get started, we’re covering telephony for up to 10 inbound phone lines in the US.
And if you create an account this week: 1,000 free minutes per month, for life.
Cheers,
Jordan
P.S. Call me to see what voice agents should feel like. 😉🤙1-844-HEY-VAPI
Vapi is transforming voice AI deployment by offering developers an API-first platform to build, test, and deploy conversational voice agents rapidly. Its seamless integration across applications really enhances configurability and scalability.
How does Vapi ensure low-latency, real-time interactions across diverse geographic regions, particularly meeting the sub-500ms voice-to-voice latency requirement? Also, Integrating advanced analytics dashboards could provide developers with deeper insights into agent performance and user interactions.
@faizanjan_ Yes, thanks!
Vapi is one of those platforms that just makes sense once you see it in action. It feels like it’s doing for voice AI what Stripe did for payments: a simple way to just build things on top of incredibly useful tech. Super cool, and congrats on the launch!
@tndl That's a great way to put it!
Vapi
@tndl Love the enthusiam!