Use cases

From first call to full call center.

The same platform powers a no-code phone receptionist and a high-throughput transcription pipeline. Pick your starting point.

Get a free key Try the Playground

What can you build?

AI drive-thru in 20 lines

An Omni agent takes the order, reads it back, and fires it to your POS via a tool - all over one WebSocket.

How Omni agents work

const ws = new WebSocket(
  "wss://api.pyai.com/v1/omni?agent_id=drive_thru",
  ["pyai-key." + PYAI_KEY],
);

AI spend audit

Where businesses waste money in voice AI

Before you add another provider, find the leaks: duplicated model bills, platform fees, slow turns, and manual review work. PyAI shows the economics before you scale.

You pay every vendor in the chain

Many voice AI stacks bill STT, realtime reasoning, TTS, telephony, platform fees, and QA separately. PyAI collapses the core phone-agent loop into one predictable voice stack.

Latency quietly kills conversion

A cheap model is expensive if callers wait, interrupt, or abandon. PyAI is built around phone turn-taking, barge-in, and streaming output so the customer experience stays natural.

Sampling calls misses the expensive mistakes

Manual QA usually reviews a small slice of conversations. Hear, Trace, and Recap help teams turn every call into transcripts, summaries, scorecards, and audit evidence.

Migration work is often overstated

If your current provider uses OpenAI-compatible APIs, the first PyAI test is usually a base URL, key, model, and voice change - then you replay real calls before scaling.

Model your spend See migration guides