AI is meaningful when you can naturally interact with it.

AI is meaningful when you can naturally interact with it.

We are an audio data research company. ‍Our mission is to bring AI into the real world through voice, the most important interface to human interaction.

Powering revenue growth for the next generation

We're making AI conversational, contextual, and actually useful

We're making AI conversational, contextual, and actually useful

The future of AI is conversational

Audio research capturing real human speech. Build models that understand context and nuance—not just words.

The future of AI is conversational

Audio research capturing real human speech. Build models that understand context and nuance—not just words.

The future of AI is conversational

Audio research capturing real human speech. Build models that understand context and nuance—not just words.

Build the world's most advanced voice data

Research-grade datasets capturing authentic human speech. Models that understand the context and structural intent.

Build the world's most advanced voice data

Research-grade datasets capturing authentic human speech. Models that understand the context and structural intent.

Build the world's most advanced voice data

Research-grade datasets capturing authentic human speech. Models that understand the context and structural intent.

From research to real-world impact

Research-driven voice technology for your AI applications. Build conversational interfaces users prefer, faster.

From research to real-world impact

Research-driven voice technology for your AI applications. Build conversational interfaces users prefer, faster.

From research to real-world impact

Research-driven voice technology for your AI applications. Build conversational interfaces users prefer, faster.

Voice AI that
sounds human, not robotic

Voice AI that
sounds human, not robotic

Build conversational experiences your users will actually want to engage with. Our audio research datasets and voice models capture the nuance of real human speech—accents, emotions, context, and all.

Voice Dataset Library

Access the world's most comprehensive audio research data—spanning diverse accents, languages, emotional contexts, and real-world environments. Train your models on authentic human speech patterns that capture how people actually communicate.

Contextual Understanding Engine

Go beyond basic speech recognition with AI that interprets intent, emotion, and conversational nuance. Our models understand interruptions, background noise, and natural speech patterns to deliver responses that feel genuinely human.

Multi-Environment Audio Processing

Deploy voice AI that works flawlessly whether users are in quiet offices, noisy streets, or hands-free in cars. Our research-backed technology adapts to acoustic environments in real-time for consistent accuracy. Emotion & Sentiment Analysis Understand not just what users say, but how they want to communicate.

Emotion & Sentiment Analysis

Understand not just what users say, but how they feel. Our audio data captures emotional signatures and tonal variations, enabling AI that responds appropriately to frustration, excitement, confusion, and more.

Voice Personalization Framework

Create conversational experiences that adapt to individual speaking styles, pacing, and preferences. Build AI voices that sound natural and align with your brand identity—not generic robotic assistants.

Voice Dataset Library

Access the world's most comprehensive audio research data—spanning diverse accents, languages, emotional contexts, and real-world environments. Train your models on authentic human speech patterns that capture how people actually communicate.

Contextual Understanding Engine

Go beyond basic speech recognition with AI that interprets intent, emotion, and conversational nuance. Our models understand interruptions, background noise, and natural speech patterns to deliver responses that feel genuinely human.

Multi-Environment Audio Processing

Deploy voice AI that works flawlessly whether users are in quiet offices, noisy streets, or hands-free in cars. Our research-backed technology adapts to acoustic environments in real-time for consistent accuracy. Emotion & Sentiment Analysis Understand not just what users say, but how they want to communicate.

Emotion & Sentiment Analysis

Understand not just what users say, but how they feel. Our audio data captures emotional signatures and tonal variations, enabling AI that responds appropriately to frustration, excitement, confusion, and more.

Voice Personalization Framework

Create conversational experiences that adapt to individual speaking styles, pacing, and preferences. Build AI voices that sound natural and align with your brand identity—not generic robotic assistants.

Voice Dataset Library

Access the world's most comprehensive audio research data—spanning diverse accents, languages, emotional contexts, and real-world environments. Train your models on authentic human speech patterns that capture how people actually communicate.

Contextual Understanding Engine

Go beyond basic speech recognition with AI that interprets intent, emotion, and conversational nuance. Our models understand interruptions, background noise, and natural speech patterns to deliver responses that feel genuinely human.

Multi-Environment Audio Processing

Deploy voice AI that works flawlessly whether users are in quiet offices, noisy streets, or hands-free in cars. Our research-backed technology adapts to acoustic environments in real-time for consistent accuracy. Emotion & Sentiment Analysis Understand not just what users say, but how they want to communicate.

Emotion & Sentiment Analysis

Understand not just what users say, but how they feel. Our audio data captures emotional signatures and tonal variations, enabling AI that responds appropriately to frustration, excitement, confusion, and more.

Voice Personalization Framework

Create conversational experiences that adapt to individual speaking styles, pacing, and preferences. Build AI voices that sound natural and align with your brand identity—not generic robotic assistants.

Research-backed voice
technology, production-ready

Research-backed voice
technology, production-ready

01

Audio Dataset Access

Train your models on diverse, voice data spanning accents, languages, and real conversations.

02

Emotion Detection

Understand user sentiment and emotional state through vocal tone, pace, and inflection patterns.

03

Contextual Processing

Enable AI that remembers and understands intent of message beyond ones individual voice commands.

04

Multi-Environment Adaptation

Deploy voice recognition that works accurately in quiet rooms, noisy streets, or hands-free scenarios.

05

Voice Analytics Dashboard

Track interaction quality, and model performance with comprehensive voice-specific metrics.

06

Custom Voice Models

Build brand-aligned AI voices that sound natural and match your product's personality and tone.

Complete tools for building conversational experiences

Complete tools for building conversational experiences

Everything your team needs to research, develop, and deploy voice AI that understands how humans actually communicate.

Audio Lab

Explore and analyze voice data with our intuitive research environment designed for rapid experimentation, annotation, and model testing across diverse audio samples.

Voice API

Deploy real-time speech recognition, emotion detection, and contextual understanding with developer-friendly endpoints that integrate seamlessly into your existing applications.

Model Studio

Train custom voice models with pre-configured pipelines designed to handle multi-speaker scenarios, accent variation, and environmental noise without infrastructure complexity.

Audio Lab

Explore and analyze voice data with our intuitive research environment designed for rapid experimentation, annotation, and model testing across diverse audio samples.

Voice API

Deploy real-time speech recognition, emotion detection, and contextual understanding with developer-friendly endpoints that integrate seamlessly into your existing applications.

Model Studio

Train custom voice models with pre-configured pipelines designed to handle multi-speaker scenarios, accent variation, and environmental noise without infrastructure complexity.

Voice AI built on
world-class audio research

Voice AI built on
world-class audio research

Converse

Train your models on diverse, research-grade voice data spanning accents, languages, and real conversations.

Converse

Train your models on diverse, research-grade voice data spanning accents, languages, and real conversations.

Atlas

A multilingual dataset spanning 15+ languages. It includes metadata on dialects and accents and follows the same format as Converse.

Atlas

A multilingual dataset spanning 15+ languages. It includes metadata on dialects and accents and follows the same format as Converse.

Chorus

A dataset of conversations involving three or more speakers. Originally designed for training speaker-separation and diarization models.

Chorus

A dataset of conversations involving three or more speakers. Originally designed for training speaker-separation and diarization models.

Dialog

A collection of expert conversations across a range of domains, capturing specialized vocabulary, technical discussions, and professional communication patterns.

Dialog

A collection of expert conversations across a range of domains, capturing specialized vocabulary, technical discussions, and professional communication patterns.

Browse more datasets or design one with us

Train your models on diverse, research-grade voice data spanning accents, languages, and real conversations.

1. Explore samples

We'll set up a quick call to understand your voice AI requirements and send you curated audio samples from our research library.

2. License datasets

Enter a data license agreement for the datasets and applications your team needs to build conversational AI experiences.

3. Integrate quickly

For off-the-shelf datasets, we'll grant your team access within one to two days with full documentation and metadata.

4. Build together

We regularly collaborate with AI teams to capture custom audio data for emerging voice technologies and research initiatives.

Voice data that
scales with your research

Voice data that
scales with your research

Proprietary datasets when you need them

Access exclusive audio collections capturing specific demographics, languages, or use cases that aren't available in public datasets.

Full annotation and metadata included

Transcriptions, speaker attributes, emotional labels, and acoustic markers are ready to use so your team can focus on model development, not data prep.

Full annotation and metadata included

Transcriptions, emotional labels, and acoustic markers are ready to use so your team can focus on model development, not data prep.

Trusted by teams
building the future of voice AI

Trusted by teams
building the future of voice AI

VoiceTech

ConversAI

SpeakFlow

"The audio quality and diversity in their datasets is unmatched. We reduced our model training time by 40% and finally achieved the accent recognition accuracy we needed for global deployment."

Michael Rodriguez

Head of AI Research at VoiceTech Labs

VoiceTech

ConversAI

SpeakFlow

"The audio quality and diversity in their datasets is unmatched. We reduced our model training time by 40% and finally achieved the accent recognition accuracy we needed for global deployment."

Michael Rodriguez

Head of AI Research at VoiceTech Labs

VoiceTech

ConversAI

SpeakFlow

"The audio quality and diversity in their datasets is unmatched. We reduced our model training time by 40% and finally achieved the accent recognition accuracy we needed for global deployment."

Michael Rodriguez

Head of AI Research at VoiceTech Labs

Frequently
asked questions

Frequently
asked questions

Everything you need to know about our voice datasets, licensing, and how we can support your AI development.

What types of audio datasets do you offer?

We provide research-grade voice datasets including two-speaker conversations (Converse), multilingual recordings across 15+ languages (Atlas), multi-speaker interactions (Chorus), and domain-specific expert dialogues (Dialog). All datasets include full annotations, speaker metadata, and acoustic markers.

How quickly can I access the data after purchasing?

For off-the-shelf datasets, we grant access within one to two days of finalizing your licensing agreement. Custom dataset requests typically take 2-4 weeks depending on scope and specifications.

What's included in the dataset licensing?

Your license includes access to the raw audio files, complete transcriptions, speaker demographics, emotional labels, environmental context, and technical documentation. We offer flexible licensing for research, development, and commercial deployment.

Can you create custom datasets for specific use cases?

Yes. We frequently partner with teams to design and capture custom voice data tailored to specific languages, accents, domains, acoustic environments, or interaction patterns that aren't available in our standard collections.

What audio quality and format do you provide?

All recordings are delivered in lossless formats (typically WAV or FLAC) with sample rates of 16kHz or higher. Channel-separated recordings maintain speaker isolation, and we provide detailed technical specifications with each dataset.

Do you support ongoing research partnerships?

Absolutely. We work closely with AI research teams, universities, and companies to co-create novel datasets, validate models, and advance voice AI technology. Contact us to discuss collaboration opportunities.

What languages and accents are covered?

Our Atlas dataset covers 15+ languages with dialect and accent metadata. We're continuously expanding coverage and can prioritize specific languages or regional variations for custom projects based on your needs.

How do you ensure data privacy and ethical collection?

All voice data is collected with explicit informed consent from participants. We follow strict privacy protocols, anonymize personal information, and comply with GDPR and other international data protection standards.

What types of audio datasets do you offer?

We provide research-grade voice datasets including two-speaker conversations (Converse), multilingual recordings across 15+ languages (Atlas), multi-speaker interactions (Chorus), and domain-specific expert dialogues (Dialog). All datasets include full annotations, speaker metadata, and acoustic markers.

How quickly can I access the data after purchasing?

For off-the-shelf datasets, we grant access within one to two days of finalizing your licensing agreement. Custom dataset requests typically take 2-4 weeks depending on scope and specifications.

What's included in the dataset licensing?

Your license includes access to the raw audio files, complete transcriptions, speaker demographics, emotional labels, environmental context, and technical documentation. We offer flexible licensing for research, development, and commercial deployment.

Can you create custom datasets for specific use cases?

Yes. We frequently partner with teams to design and capture custom voice data tailored to specific languages, accents, domains, acoustic environments, or interaction patterns that aren't available in our standard collections.

What audio quality and format do you provide?

All recordings are delivered in lossless formats (typically WAV or FLAC) with sample rates of 16kHz or higher. Channel-separated recordings maintain speaker isolation, and we provide detailed technical specifications with each dataset.

Do you support ongoing research partnerships?

Absolutely. We work closely with AI research teams, universities, and companies to co-create novel datasets, validate models, and advance voice AI technology. Contact us to discuss collaboration opportunities.

What languages and accents are covered?

Our Atlas dataset covers 15+ languages with dialect and accent metadata. We're continuously expanding coverage and can prioritize specific languages or regional variations for custom projects based on your needs.

How do you ensure data privacy and ethical collection?

All voice data is collected with explicit informed consent from participants. We follow strict privacy protocols, anonymize personal information, and comply with GDPR and other international data protection standards.

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