01

The Data Flywheel

Better data builds better models. Better models generate better data. We've processed 500M+ conversations to create the industry's most refined training datasets.

Proprietary Dataset

Voice Intelligence Corpus

The largest labeled voice conversation dataset.

Our proprietary corpus spans industries, languages, and use cases. Every conversation is transcribed, annotated, and quality-verified by specialized linguists. Train on real conversations, not synthetic data.

500M+ Conversations
40+ Languages
99.2% Label Accuracy
Data Flywheel
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Diverse Demographics

Balanced representation across accents, age groups, and speech patterns for unbiased models.

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Quality Verified

Multi-stage QA with human review. Every label verified by domain experts.

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Privacy Compliant

GDPR, CCPA, and SOC 2 compliant. PII redaction and consent management built in.

Real conversations Human verified Production ready Real conversations Human verified Production ready Real conversations Human verified Production ready
02

Data Collection

Custom voice data collection at scale. From script design to delivery, we handle the entire pipeline.

Custom Collection Programs

Need domain-specific data? We design and execute collection programs tailored to your exact requirements. Medical, legal, financial, customer service - any vertical, any language.

  • Script design and validation
  • Global contributor network (50+ countries)
  • Demographic targeting and balancing
  • Real-time quality monitoring

Prompted Collection

Scripted recordings for specific phrases, commands, or scenarios

Spontaneous Speech

Natural conversations capturing real-world speech patterns

Simulated Dialogues

Role-play scenarios matching your production use cases

Edge Cases

Accents, background noise, interruptions, disfluencies

Data Collection
03

Labeling & Annotation

Expert annotation services for voice and speech data. From transcription to complex semantic labeling.

Annotation Pipeline
Expert Annotators

Human-in-the-Loop Quality

Our annotation teams combine linguistic expertise with domain knowledge. Every label is reviewed, every edge case is handled, every dataset ships production-ready.

edit_note Transcription & normalization
psychology Intent & entity extraction
sentiment_satisfied Sentiment & emotion labeling
record_voice_over Speaker diarization
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Transcription

Verbatim and normalized transcription with timestamps, speaker labels, and confidence scores.

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Semantic Labeling

Custom taxonomies for intents, entities, dialogue acts, and domain-specific categories.

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Audio Annotation

Prosody, emotion, speaker characteristics, and acoustic event detection.

04

Use Cases

Training data for every voice AI application.

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Contact Center AI

Train virtual agents on real customer service conversations. Intent recognition, sentiment analysis, and escalation prediction data from millions of support interactions.

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Voice Assistants

Wake word detection, command recognition, and multi-turn dialogue data.

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Healthcare

Medical dictation, clinical dialogue, and patient interaction datasets.

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Financial Services

Compliance-ready data for banking, insurance, and wealth management.

Need Training Data?

Tell us about your requirements. We'll design a collection and annotation program that fits your timeline and budget.