Voice AI Solutions for Speaker Intelligence

Solutions

Speaker intelligence for every Voice AI product you build.

Voice AI stacks today are transcription-deep but understanding-shallow. pyannoteAI is the layer that turns raw audio into structured speaker metadata. So everything downstream actually works on real-world audio.

Solutions

Speaker intelligence for every Voice AI product you build.

Solutions

Speaker intelligence for every Voice AI product you build.

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The layer the Voice AI stack is missing

pyannoteAI provides a speaker intelligence layer that makes voice AI systems reliable in production

What you can build with pyannoteAI

Tech teams have chosen pyannoteAI for its accuracy in adversarial conditions, production reliability, and conversation analytics capabilities.

What you can build with pyannoteAI

Tech teams have chosen pyannoteAI for its accuracy in adversarial conditions, production reliability, and conversation analytics capabilities.

What you can build with pyannoteAI

Tech teams have chosen pyannoteAI for its accuracy in adversarial conditions, production reliability, and conversation analytics capabilities.

Transcription & Indexing

Build speaker-attributed transcripts that hold up at production scale. The metadata layer behind notetakers, call analytics, and compliance archives that users actually trust.

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Transcription & Indexing

Build speaker-attributed transcripts that hold up at production scale. The metadata layer behind notetakers, call analytics, and compliance archives that users actually trust.

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Voice Model Training

Curate, annotate, and quality-score audio corpora at scale. The pipeline ML teams use to turn millions of messy hours into clean, training-ready datasets.

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Voice Model Training

Curate, annotate, and quality-score audio corpora at scale. The pipeline ML teams use to turn millions of messy hours into clean, training-ready datasets.

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Contact Center & Support

Reduce speaker attribution errors on noisy, overlapping calls. The layer beneath voice agents, QA scoring, and conversation analytics that makes the contact center stack actually work.

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Contact Center & Support

Reduce speaker attribution errors on noisy, overlapping calls. The layer beneath voice agents, QA scoring, and conversation analytics that makes the contact center stack actually work.

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Media & Dubbing

Track speaker continuity across long-form, multi-speaker, multi-language content. Power automated dubbing, subtitling, and media indexing from a single speaker intelligence layer.

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Media & Dubbing

Track speaker continuity across long-form, multi-speaker, multi-language content. Power automated dubbing, subtitling, and media indexing from a single speaker intelligence layer.

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Healthcare Scribing

Generate correctly attributed clinical notes from real exam-room audio: multi-speaker, multi-staff, far-field. The metadata layer behind AI medical scribes that providers actually trust.

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Healthcare Scribing

Generate correctly attributed clinical notes from real exam-room audio: multi-speaker, multi-staff, far-field. The metadata layer behind AI medical scribes that providers actually trust.

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AI Voice Agents

Make voice agents speaker-aware in real time. Add a streaming speaker intelligence layer behind production of your Voice agents, so it respond to the right person, every time.

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AI Voice Agents

Make voice agents speaker-aware in real time. Add a streaming speaker intelligence layer behind production of your Voice agents, so it respond to the right person, every time.

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The capabilities every solution shares.

Speaker Diarization

Who spoke, when, and for how long, across any acoustic condition

Speaker identification

Match voices to known identities across files and sessions

Voiceprints

Persistent speaker identity for cross-recording continuity

Overlap detection

Tag simultaneous speech, interruptions, and crosstalk explicitly

Confidence scoring

Per-segment reliability surfaced as structured metadata

Trusted by the teams building Voice AI at scale.

250M+

hours processed

100+

languages supported

10+ years

of academic research

“pyannoteAI has been a game-changer for us at Gladia. They've solved the biggest machine learning challenge I've encountered in the last 15 years.”

Jean-Louis Quéguiner

CEO, Gladia

Built to fit the way you ship.

Whether you need a hosted API for fast iteration, a self-hosted deployment for compliance and data residency, or on-device inference for latency and privacy. pyannoteAI runs the same models everywhere. Backed by 12+ years of open-source heritage and the most-cited speaker diarization research in academic literature.

Cloud API: Fast to integrate, scales to millions of hours. Get started in minutes.

On-Premise: Deploy in your own infrastructure for compliance, sovereignty, and cost control.

On-device: Run inference at the edge for low-latency and privacy-first applications.