AI Voice Datasets

AI Voice Datasets

for the Real World

for the Real World

195 countries

195 countries

195 countries

1 million users

1 million users

1 million users

Zero synthetic bullshit

Zero synthetic bullshit

Zero synthetic bullshit

Synthetic Audio Doesn't Work in Production

Synthetic Audio Doesn't Work in Production

Most voice AI models train on synthetic datasets because they're cheap and scalable. The problem? Synthetic audio can't replicate real-world chaos.

Most voice AI models train on synthetic datasets because they're cheap and scalable. The problem? Synthetic audio can't replicate real-world chaos.

Your model needs to handle:

Background noise - traffic, crowds, machinery, wind

Background noise - traffic, crowds, machinery, wind

Accent diversity - 30.4% of recognition failures stem from accent/dialect variations

Accent diversity - 30.4% of recognition failures stem from accent/dialect variations

Code-switching - people mixing languages mid-sentence (30% accuracy drop)

Code-switching - people mixing languages mid-sentence (30% accuracy drop)

Emotional speech - frustration, excitement, hesitation, crying

Emotional speech - frustration, excitement, hesitation, crying

Device variability - cheap phone mics, Bluetooth headsets, network degradation

Device variability - cheap phone mics, Bluetooth headsets, network degradation

Edge cases - speech impediments, elderly speakers

Edge cases - speech impediments, elderly speakers

Synthetic generators can't capture this.

Synthetic generators can't capture this.

Synthetic generators can't capture this.

Your model hits 95% accuracy in lab conditions

Your model hits 95% accuracy in lab conditions and 60% in Lagos, Mumbai, or São Paulo.

Your model hits 95% accuracy in lab conditions

and 60% in Lagos, Mumbai, or São Paulo.

and 60% in Lagos, Mumbai, or São Paulo.

0%

0%

"Noisy environments cause 25% accuracy drops. Code-switching creates 30% accuracy loss. Low-resource languages lack adequate training data entirely."

- Industry benchmarks, 2024

Your Voice Model Is Trained on Americans.

Your Voice Model Is Trained on Americans.

Your Voice Model Is Trained on Americans.

The World Isn't.

The World Isn't.

The World Isn't.

Most training datasets are built from North American and Western European audio. If your model needs to work in:

Most training datasets are built from North American and Western European audio. If your model needs to work in:

India

code-switching between Hindi, English, Tamil; regional accents across 22+ languages

Nigeria

Pidgin English, Yoruba/Igbo/Hausa influences

Brazil

Portuguese with regional slang, indigenous language mixing

Southeast Asia

Tagalog, Bahasa Indonesia/Malaysia, Singlish, Thai English

Middle East

Arabic dialect variations, English with heavy accent influence

Sub-Saharan Africa

French/English/Portuguese creoles, indigenous languages

...your model fails.

...your model fails.

...your model fails.

We're the only platform collecting production-grade audio from 195 countries. Real speakers. Real dialects. Real linguistic diversity.

We're the only platform collecting production-grade audio from 195 countries. Real speakers. Real dialects. Real linguistic diversity.

What Makes Us Different:

What Makes Us Different:

Real Environments, Not Studios

Real Environments, Not Studios

Real Environments, Not Studios

Audio captured in cafes, streets, homes, factories, vehicles, hospitals

Natural acoustics with background noise intact

No $5,000 studio mics - just real smartphones

Authentic Accents & Dialects

Authentic Accents & Dialects

Authentic Accents & Dialects

Native speakers, not voice actors reading scripts

Regional variations within the same language

Natural code-switching and multilingual conversations

Mobile-First Collection Infrastructure

Mobile-First Collection Infrastructure

Mobile-First Collection Infrastructure

Distributed workforce across 195 countries

Rapid deployment (0-1000 contributors in weeks) 24/7 collection across all time zones

Edge Cases That Don't Exist in Synthetic Data

Edge Cases That Don't Exist in Synthetic Data

Edge Cases That Don't Exist in Synthetic Data

Speech impediments and accessibility scenarios

Elderly speakers with age-related speech changes.

Emotional extremes (anger, crying, whispering, shouting)

Talk to our team

Talk to our team

Talk to our team

How It Works

How It Works

1

Define Requirements

Specify use case, languages, volume, quality tier, domain needs Technical scoping with our ML team Transparent quote and fast delivery

2

Mobile Collection at Scale

Deploy collection tasks to our 2M+ global contributor network Real-time quality validation (automated + human review) Consensus annotation

3

Delivery & Integration

Cloud delivery (AWS S3, Google Cloud, Azure Blob) API integration for automated ML pipelines Full data provenance documentation included

1

Define Requirements

Specify use case, languages, volume, quality tier, domain needs Technical scoping with our ML team Transparent quote and fast delivery

2

Mobile Collection at Scale

Deploy collection tasks to our 2M+ global contributor network Real-time quality validation (automated + human review) Consensus annotation

3

Delivery & Integration

Cloud delivery (AWS S3, Google Cloud, Azure Blob) API integration for automated ML pipelines Full data provenance documentation included

4

Delivery

Cloud delivery (S3/GCS/Azure), full provenance docs.

1

Define Requirements

Specify use case, languages, volume, quality tier, domain needs Technical scoping with our ML team Transparent quote and fast delivery

2

Mobile Collection at Scale

Deploy collection tasks to our 2M+ global contributor network Real-time quality validation (automated + human review) Consensus annotation

3

Delivery & Integration

Cloud delivery (AWS S3, Google Cloud, Azure Blob) API integration for automated ML pipelines Full data provenance documentation included

4

Delivery

Cloud delivery (S3/GCS/Azure), full provenance docs.

Get your Custom Quote Now

Get your Custom Quote Now

Get your Custom Quote Now

Production-Grade Audio for Real-World Voice AI

Voice Assistants (Alexa, Siri, Google Assistant)

Problem: Models fail with non-standard accents and dialects

  • Our Solution: access to 100+ languages with regional dialect variations, native speakers

Impact: 25% accuracy improvement in underrepresented markets

Voice Assistants (Alexa, Siri, Google Assistant)

Problem: Models fail with non-standard accents and dialects

  • Our Solution: access to 100+ languages with regional dialect variations, native speakers

Impact: 25% accuracy improvement in underrepresented markets

Healthcare Clinical Documentation

Problem: Medical transcription fails with technical terminology + accent diversity

  • Our Solution: Domain-specific audio from healthcare professionals in 50+ countries

Market Context: Clinical voice documentation growing at 38.6% CAGR

Healthcare Clinical Documentation

Problem: Medical transcription fails with technical terminology + accent diversity

  • Our Solution: Domain-specific audio from healthcare professionals in 50+ countries

Market Context: Clinical voice documentation growing at 38.6% CAGR

Automotive In-Car Voice Systems

Problem: Voice commands fail in noisy vehicle environments

  • Our Solution: Audio captured in real vehicles (traffic noise, engine sound, multiple speakers)

Impact: Edge-case scenarios synthetic data can't replicate

Automotive In-Car Voice Systems

Problem: Voice commands fail in noisy vehicle environments

  • Our Solution: Audio captured in real vehicles (traffic noise, engine sound, multiple speakers)

Impact: Edge-case scenarios synthetic data can't replicate

Multilingual Customer Service & Contact Centers

Problem: Voice AI breaks when customers code-switch between languages

  • Our Solution: Authentic multilingual conversations (English-Spanish, Hindi-English, etc.)

Impact: 30% accuracy boost in mixed-language interactions

Multilingual Customer Service & Contact Centers

Problem: Voice AI breaks when customers code-switch between languages

  • Our Solution: Authentic multilingual conversations (English-Spanish, Hindi-English, etc.)

Impact: 30% accuracy boost in mixed-language interactions

Speech Accessibility & Inclusion

Problem: Most voice AI ignores speech impediments, elderly speakers

  • Our Solution: Underrepresented speech patterns from real users

Market Gap: We're the only provider focused on accessibility audio at scale

Speech Accessibility & Inclusion

Problem: Most voice AI ignores speech impediments, elderly speakers

  • Our Solution: Underrepresented speech patterns from real users

Market Gap: We're the only provider focused on accessibility audio at scale

Emotion & Sentiment Recognition

Problem: Training data lacks genuine emotional range

  • Our Solution: Real-world conversations capturing frustration, excitement, urgency, sarcasm

Impact: Sentiment models that understand human nuance, not just keyword matching

Emotion & Sentiment Recognition

Problem: Training data lacks genuine emotional range

  • Our Solution: Real-world conversations capturing frustration, excitement, urgency, sarcasm

Impact: Sentiment models that understand human nuance, not just keyword matching

Production-Grade Audio for Real-World Voice AI

Production-Grade Audio for Real-World Voice AI

Voice Assistants (Alexa, Siri, Google Assistant)

Problem: Models fail with non-standard accents and dialects

  • Our Solution: access to 100+ languages with regional dialect variations, native speakers

Impact: 25% accuracy improvement in underrepresented markets

Voice Assistants (Alexa, Siri, Google Assistant)

Problem: Models fail with non-standard accents and dialects

  • Our Solution: access to 100+ languages with regional dialect variations, native speakers

Impact: 25% accuracy improvement in underrepresented markets

Voice Assistants (Alexa, Siri, Google Assistant)

Problem: Models fail with non-standard accents and dialects

  • Our Solution: access to 100+ languages with regional dialect variations, native speakers

Impact: 25% accuracy improvement in underrepresented markets

Healthcare Clinical Documentation

Problem: Medical transcription fails with technical terminology + accent diversity

  • Our Solution: Domain-specific audio from healthcare professionals in 50+ countries

Market Context: Clinical voice documentation growing at 38.6% CAGR

Healthcare Clinical Documentation

Problem: Medical transcription fails with technical terminology + accent diversity

  • Our Solution: Domain-specific audio from healthcare professionals in 50+ countries

Market Context: Clinical voice documentation growing at 38.6% CAGR

Healthcare Clinical Documentation

Problem: Medical transcription fails with technical terminology + accent diversity

  • Our Solution: Domain-specific audio from healthcare professionals in 50+ countries

Market Context: Clinical voice documentation growing at 38.6% CAGR

Automotive In-Car Voice Systems

Problem: Voice commands fail in noisy vehicle environments

  • Our Solution: Audio captured in real vehicles (traffic noise, engine sound, multiple speakers)

Impact: Edge-case scenarios synthetic data can't replicate

Automotive In-Car Voice Systems

Problem: Voice commands fail in noisy vehicle environments

  • Our Solution: Audio captured in real vehicles (traffic noise, engine sound, multiple speakers)

Impact: Edge-case scenarios synthetic data can't replicate

Automotive In-Car Voice Systems

Problem: Voice commands fail in noisy vehicle environments

  • Our Solution: Audio captured in real vehicles (traffic noise, engine sound, multiple speakers)

Impact: Edge-case scenarios synthetic data can't replicate

Multilingual Customer Service & Contact Centers

Problem: Voice AI breaks when customers code-switch between languages

  • Our Solution: Authentic multilingual conversations (English-Spanish, Hindi-English, etc.)

Impact: 30% accuracy boost in mixed-language interactions

Multilingual Customer Service & Contact Centers

Problem: Voice AI breaks when customers code-switch between languages

  • Our Solution: Authentic multilingual conversations (English-Spanish, Hindi-English, etc.)

Impact: 30% accuracy boost in mixed-language interactions

Multilingual Customer Service & Contact Centers

Problem: Voice AI breaks when customers code-switch between languages

  • Our Solution: Authentic multilingual conversations (English-Spanish, Hindi-English, etc.)

Impact: 30% accuracy boost in mixed-language interactions

Speech Accessibility & Inclusion

Problem: Most voice AI ignores speech impediments, elderly speakers

  • Our Solution: Underrepresented speech patterns from real users

Market Gap: We're the only provider focused on accessibility audio at scale

Speech Accessibility & Inclusion

Problem: Most voice AI ignores speech impediments, elderly speakers

  • Our Solution: Underrepresented speech patterns from real users

Market Gap: We're the only provider focused on accessibility audio at scale

Speech Accessibility & Inclusion

Problem: Most voice AI ignores speech impediments, elderly speakers

  • Our Solution: Underrepresented speech patterns from real users

Market Gap: We're the only provider focused on accessibility audio at scale

Emotion & Sentiment Recognition

Problem: Training data lacks genuine emotional range

  • Our Solution: Real-world conversations capturing frustration, excitement, urgency, sarcasm

Impact: Sentiment models that understand human nuance, not just keyword matching

Emotion & Sentiment Recognition

Problem: Training data lacks genuine emotional range

  • Our Solution: Real-world conversations capturing frustration, excitement, urgency, sarcasm

Impact: Sentiment models that understand human nuance, not just keyword matching

Emotion & Sentiment Recognition

Problem: Training data lacks genuine emotional range

  • Our Solution: Real-world conversations capturing frustration, excitement, urgency, sarcasm

Impact: Sentiment models that understand human nuance, not just keyword matching

Enterprise-Grade Quality
You Can Trust

Enterprise-Grade Quality
You Can Trust

Quality Infrastructure:

Multi-tier validation - automated checks + human review

Multi-tier validation - automated checks + human review

Domain expert pools - medical, legal, technical specialists for specialized projects

Domain expert pools - medical, legal, technical specialists for specialized projects

Consnsus annotation

Consnsus annotation

Continuous monitoring - drift detection and feedback loops

Continuous monitoring - drift detection and feedback loops

Compliance Certifications:

GDPR compliant - full data provenance and consent workflows

GDPR compliant - full data provenance and consent workflows

SOC 2 Type II - certification in progress (6-12 month timeline)

SOC 2 Type II - certification in progress (6-12 month timeline)

Data Provenance:

Full collection methodology documentation

Full collection methodology documentation

Annotator qualification and training records

Annotator qualification and training records

Geographic and demographic diversity metrics

Geographic and demographic diversity metrics

Audit trails for every annotation

Audit trails for every annotation

Get your Custom Datasets Now

Get your Custom Datasets Now

Get your Custom Datasets Now

Get your Custom Datasets Now

Transparent Pricing
No Lengthy Sales Cycles.

Transparent Pricing
No Lengthy Sales Cycles.

Unlike Scale AI (opaque pricing requiring 6-week sales processes), we provide straightforward tier pricing based on:

Unlike Scale AI (opaque pricing requiring 6-week sales processes), we provide straightforward tier pricing based on:

Audio volume

(minutes/hours)

Audio volume

(minutes/hours)

Audio volume

(minutes/hours)

Audio volume

(minutes/hours)

Annotation complexity

(transcription, speaker diarization, sentiment)

Annotation complexity

(transcription, speaker diarization, sentiment)

Annotation complexity

(transcription, speaker diarization, sentiment)

Annotation complexity

(transcription, speaker diarization, sentiment)

Get Your Quote in 48 Hours

Get Your Quote in 48 Hours

Get Your Quote in 48 Hours

Get Your Quote in 48 Hours

Volume discounts available for large projects.

Volume discounts available for large projects.

Volume discounts available for large projects.

Stop Training on Synthetic Voices

Start Training on Real Humans.

Authentic audio from 195 countries. Built for voice AI that works in the real world.

Get your quote in 48 hours

Talk to Our Team

Trusted by Fortune 500 companies

Stop Training on Synthetic Voices

Start Training on Real Humans.

Get your quote in 48 hours

Talk to Our Team

Trusted by Fortune 500 companies

Stop Training on Synthetic Voices

Start Training on Real Humans.

Get your quote in 48 hours

Talk to Our Team

Trusted by Fortune 500 companies

Stop Training on Synthetic Voices

Start Training on Real Humans.

Authentic audio from 195 countries. Built for voice AI that works in the real world.

Get your quote in 48 hours

Talk to Our Team

Trusted by Fortune 500 companies