Large-Scale Audio Content Aggregation
Helping AI companies develop foundational language models while preserving linguistic diversity and creating new revenue streams for audio content creators.
Powering AI Language Development
We aggregate audio content at scale to help AI companies develop foundational models—systems that learn languages from scratch. Your audio content becomes training data that teaches AI to understand human speech, accents, dialects, and conversational patterns.
Foundational Model Training
Your audio helps AI systems learn languages from the ground up, understanding grammar, syntax, pronunciation, and cultural context.
Linguistic Preservation
Rare languages, local dialects, and ethnic languages are digitally preserved, ensuring they remain accessible for future generations.
Diverse & Inclusive AI
Your content makes AI more representative of humanity's linguistic variety, reducing bias and improving global accessibility.
Audio Content We Aggregate
We work with a wide range of conversational and narrative audio content in any language, with special interest in rare and underrepresented languages.
Talk shows, news broadcasts, radio magazines, and live programming.
Conversational podcasts, audio interviews, and discussion formats.
Narrated books, audio dramas, storytelling, and theatrical recordings.
Customer service calls, support conversations, and call center archives.
Local dialects, ethnic languages, indigenous languages, and regional variations.
Any audio featuring natural human speech, dialogue, and conversation.
Technical Requirements
To ensure your audio content is suitable for AI training, we have specific technical requirements.
- Minimum 1,000 hours of audio content
- MP3 or WAV format preferred
- Clear audio quality (no excessive noise or distortion)
- Conversational or narrative content (not music-only)
- Any language, including rare and regional dialects
- Transcripts or subtitles (greatly increases value)
- Metadata (speaker info, topics, timestamps)
- Multiple speakers and natural dialogue
- Diverse accents and speaking styles
- Content in rare or underrepresented languages
Preserving Linguistic Diversity Through AI
Many of the world's 7,000+ languages are at risk of disappearing. By aggregating audio content in rare languages, local dialects, and ethnic languages, we help preserve these linguistic treasures by bringing them into the digital world.
When AI systems are trained on diverse linguistic data, they become more inclusive and representative of humanity's rich cultural variety. Your audio content doesn't just create revenue—it helps ensure that future AI technologies understand and respect linguistic diversity.
This work is particularly important for:
- Indigenous communities seeking to preserve their languages
- Regional broadcasters with content in local dialects
- Cultural archives holding rare linguistic recordings
- Language preservation organizations documenting endangered languages