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All use cases
For teams

Call QA & compliance

Know what was said on every call.

Transcribe every call with Hear and turn on Trace to scan for compliance issues and quality signals - moving from sampling a few calls to monitoring all of them.

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How it works

  1. 1

    Transcribe everything

    Stream live or batch your recordings through Hear (batch is 50% off the realtime rate).

  2. 2

    Turn on Trace

    The compliance add-on scans calls and flags violations against your rule packs.

  3. 3

    Audit and improve

    Review flagged calls, export findings, and coach from real evidence.

What this replaces

Manual coverage gaps

Transcribe and score 100% of calls, with compliance flags you can audit. That means fewer missed calls, fewer handoffs without context, and fewer hours spent catching up after the fact.

Stacked AI bills

Teams often pay separately for transcription, speech, realtime models, telephony, QA, and orchestration. PyAI keeps the core voice workflow on one usage-based stack.

Slow experimentation

Start with a free key, replay real conversations, compare latency and cost, then route production traffic only when the numbers and customer experience hold up.

Built on

HearHear - speech-to-text (STT), telephony-native.OmniThe definitive all-in-one AI voice agent model. Hybrid speech-to-speech, fused LLM brain, emotion-aware voices, and tool calling.

Common questions

How does PyAI support call qa & compliance?

Transcribe every call with Hear and turn on Trace to scan for compliance issues and quality signals - moving from sampling a few calls to monitoring all of them.

What does it cost to test this use case?

Omni API is billed per minute for realtime voice agents. The Agents feature is available when you want to manage, evaluate & ship agents with no code: monitoring and call intelligence packaged for you. Every account starts with free credit, so teams can test real call flows before committing budget.

How does this reduce wasted AI spend?

PyAI reduces duplicated vendor bills, manual review work, and migration drag by putting transcription, speech, realtime agents, grounding, and call intelligence on one OpenAI-compatible stack.

How do we keep call quality high in production?

Ground the agent in your own content, bind tools for real actions, warm-transfer when needed, and use Trace or Recap when calls require QA, compliance review, summaries, and audit evidence.

Choose how you want to start.

Use an instant sandbox key for the API, or open Agents Beta and build without code. Sandbox usage never bills. Live keys require available credit.

Build with the API Launch an Agent

Agents is live in beta. Sandbox keys have daily limits and never touch billing.