ENTERPRISE

The most accurate "who" in conversations. Built to scale.

The speaker intelligence layer for enterprises where audio is core to the business. Accurate, sovereign, and built for production, not proof of concept.

Speech AI
AI Editing
We switched from AWS Transcribe for the accuracy, and tested it against three other platforms. Pyannote won. Now it's pure set-it-and-forget-it.
Voice AI
AI Meeting
AI Video
AI Transcription
Dubbing only works if every line lands on the right voice. Pyannote keeps speaker attribution reliable across languages, at production volume.
Call Analytics
Medical scribe
Voice QA
AI Transcription
I've seen the system work flawlessly at high data volume. Very high reliability, high confidence in the output.
Dubbing
AI Meeting

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Trusted by teams processing millions of hours of conversation a year, in healthcare, software, and voice AI infrastructure.

Trusted by teams processing millions of hours of conversation a year,
in healthcare, software, and voice AI infrastructure.

HIPAA

GDPR-native

On-prem & sovereign

Bring accuracy where your Voice AI fails in production

Most speech models fail in the real world, where conversations involve multiple speakers, overlaps, and background noise. pyannoteAI adds a speaker intelligence layer that powers accurate transcriptions, context‑aware voice agents, and reliable analytics. Making Voice AI work in production.

Audio Input

Speaker Intelligence

(Diarization)

Transcription

Business Logic

(LLMs)

Text to Speech

Audio Output

Proven at scale, not just in the lab.

Reliability

Model-ops infrastructure built for consistent, predictable performance at scale. Availability doesn't slip as volume grows.

Scalability

The same accuracy holds from a short clip to a 24-hour recording, from a handful of calls to millions of hours a month. The model doesn't change. The infrastructure does.

Support

Dedicated onboarding, direct engineering access, a custom SLA. A dedicated Slack channel, not a ticket queue.

Talk to sales

DIHARD tested for accuracy, robustness and speed.

Twelve years of diarization research, published as open benchmarks. Ten real-world domains, every major speech-AI provider, the open-source toolkit the field treats as the reference standard.

52%

Lower DER (diarization error rate) than leading alternatives

28%

More accurate than our own open-source Community-1 baseline

300ms

Real-time latency on cloud, on-prem, or edge

12yrs

Of dedicated speaker-diarization research

DER on DIHARD (lower is better)

10 real-world domains

Baseline

+28%

+41%

+52%

Precision-2

Community-1 (OSS)

Alternative A

Alternative B

DER on DIHARD, up to 52% lower than leading alternatives, across every major speech-AI provider

DER on DIHARD (lower is better)

10 real-world domains

Baseline

+28%

+41%

+52%

Precision-2

Community-1 (OSS)

Alternative A

Alternative B

DER on DIHARD, up to 52% lower than leading alternatives, across every major speech-AI provider

See the full benchmark report

Every capability, mapped to the requirement it satisfies.

Diarization

Who spoke, and when. The most accurate diarization in the field, not bolted onto a transcript. Up to 52% lower error than leading alternatives, in 150ms. Cloud, on-prem, or edge.

Speaker identification

Know who, not just what. Persistent voiceprints match a voice to a known identity, across files and sessions.

Speaker separation

Untangle every overlap. Every speaker is isolated, so downstream models get signal, not noise.

STT orchestration

Bring your own STT. One call reconciles diarization and transcription. No manual alignment.

Map Pyannote to your stack

Works everywhere conversation happens.

Works everywhere conversation happens. By design.

Transcription & indexing

Powers accurate, speaker-labeled transcripts and searchable archives for any product built on recorded conversation.

Voice model training

Cleans and segments audio data to improve training, fine-tuning, and evaluation.

Media & dubbing

Aligns voices for high-quality dubbing, subtitles, and multilingual delivery.

Healthcare scribing

Separates clinicians, patients, and others to reduce documentation errors.

Contact center & support

Improves intent recognition, so conversational models stay reliable and context-aware.

AI voice agent

Measures turn-taking, latency, and consistency in voice agents.

Transcription & indexing

Powers accurate, speaker-labeled transcripts and searchable archives for any product built on recorded conversation.

Media & dubbing

Aligns voices for high-quality dubbing, subtitles, and multilingual delivery.

Voice model training

Cleans and segments audio data to improve training, fine-tuning, and evaluation.

Healthcare scribing

Separates clinicians, patients, and others to reduce documentation errors.

AI voice agent

Measures turn-taking, latency, and consistency in voice agents.

Public sector

Turn Public conversations into indexed and searchable information

Transcription & indexing

Powers accurate, speaker-labeled transcripts and searchable archives for any product built on recorded conversation.

Healthcare scribing

Separates clinicians, patients, and others to reduce documentation errors.

Voice model training

Cleans and segments audio data to improve training, fine-tuning, and evaluation.

Contact center & support

Improves intent recognition, so conversational models stay reliable and context-aware.

Media & dubbing

Aligns voices for high-quality dubbing, subtitles, and multilingual delivery.

AI voice agent

Measures turn-taking, latency, and consistency in voice agents.

See the full benchmark report

Our business runs on conversation. Pyannote is how the machines running alongside it finally understand it too.

Give your product the "who" your enterprise stack needs. Deploy on your own infrastructure. Or start with a conversation.

Try for free

Book a demo

HIPAA-ready · BAA available

GDPR-native · EU residency

On-prem & edge deployment

Dedicated Slack support

Product

Developers

Resources

52m

24m

Product

Developers

Resources

52m

24m

Product

Resources

Developers

52m

24m