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Market-ready voice intelligence

Amplifier turns a short voice sample into structured wellness signal. What that signal is worth depends on who receives it and what they do.

one signal, six markets

Built around your problem, not our model.

Each page covers the situation, what arrives, where it fits, and — with equal weight — what it doesn't do.

  • You already capture the audio. Your pipeline transcribes it, routes it, and discards everything about the speaker that wasn't a word.

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  • The visit is fifteen minutes. A meaningful share of it goes to documentation, and the ambient scribe you deployed gave some of that back. Between visits you have claims data and whatever the patient remembers to mention next time.

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  • You screen with a PHQ-9 every few weeks. Between instruments you have session notes and whatever the patient volunteers.

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  • You understand your population through claims, which describe what already happened, and surveys, which most members ignore. Your engagement rates on health risk assessments are what they are.

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  • Your endpoints are measured at site visits, which are expensive, episodic, and scheduled around operational reality rather than around the biology. Between visits, the participant is unobserved.

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  • Your retention curve looks like every wellness product's retention curve. People sign up, log a few things, and stop, because the product asks more of them than it returns.

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See it against your own workflow.

We'll walk through what applies, what doesn't, and where the limits sit, before any commitment.

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Amplifier's voice analysis is not FDA approved and is not a diagnostic device. All signals are positioned as wellness context, not clinical findings. Narrative interpretations are provided to qualified care or research staff only, never as automated alerts and never directly to the person analyzed. Evidence strength varies by signal; framing in any deployment matches the evidence tier of the specific signal used.