TMStop wasting minutes on machines
Detection cuts the time agents spend talking to voicemail and lowers your cost per call.
Know who answered in the first second.
Answering machine detection for outbound voice AI. Proof of Human tells a live person from voicemail, IVRs and silence with 99% accuracy, and marks the beep for clean message drops.
Call connected
Classified asHuman
A real person answered. Your agent starts talking right away.
A large share of outbound calls reach a machine.
Without detection, your agents talk to recordings, and you pay for every second of it.
Better first impressions
When a real person answers, your agent starts talking right away, with no awkward pause and no mistaken greeting. That first second decides whether the call continues.
Clean voicemail drops
Precise beep detection means messages start at the right moment instead of getting cut off halfway or recorded over the greeting.
How Proof of Human works.
- 01
Stream the call audio
Send the call audio stream to the API as soon as the line connects.
- 02
Classify the answer
Separate a live person from voicemail, automated systems and silence.
- 03
Mark the beep
Flag the exact moment the voicemail tone plays.
- 04
Return the result
Get a clear classification with a confidence score, ready for your calling pipeline.
Accurate answer detection, at outbound scale.
- Answer detection accuracy
- 99%
- Human
- A real person answered and is ready to talk.
- Voicemail / answering machine
- A recorded greeting, personal or carrier default.
- Beep detection
- The exact moment the voicemail tone plays, so a message can be left cleanly.
- Automated systems
- IVRs, call screeners and other non-human answers.
- Silence / no response
- The line connected but no one is speaking.
Built for voice AI companies.
If your platform places outbound calls at scale, every connected call starts with the same question: who answered? Proof of Human answers it, so your product can respond the right way from the first second.
More accurate analytics
Separating human answers from machine answers gives you real connect rates, cleaner campaign data and better retry strategies.
Scales with you
Whether you make a thousand calls a day or millions, the API gives fast, consistent results without adding complexity to your call flow.
Simple integration
Send the call audio stream to the API and get back a clear classification with a confidence score, ready to plug into your existing calling pipeline.
Proof of Human FAQs
What is Proof of Human?
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Proof of Human is answering machine detection for outbound calling. It tells your platform who answered a connected call: a real person, voicemail, an automated system, or silence. It also marks the moment the voicemail beep plays.
How does Proof of Human work?
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Your platform sends the call audio stream to the API as soon as the line connects. The API returns a clear classification with a confidence score, ready to plug into your existing calling pipeline.
What can it detect?
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Five answer types: a human who is ready to talk, voicemail or an answering machine (personal or carrier default greetings), the voicemail beep, automated systems such as IVRs and call screeners, and silence where the line connected but no one is speaking.
How accurate is it?
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Proof of Human classifies who answered with 99% accuracy.
Why does beep detection matter?
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Knowing the exact moment the voicemail tone plays means a message starts at the right time, instead of being cut off halfway or recorded over the greeting.
Does it work at high call volumes?
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Yes. Whether you make a thousand calls a day or millions, the API gives fast, consistent results without adding complexity to your call flow.
The first second of every call matters.
Make sure your platform knows who's on the line.