Multimodal Interview Data for AI Training
The web is running out of fresh, high-quality text, and models trained on their own output degrade. The durable supply is real human conversation — captured with consent, redacted before storage, and licensed with clear provenance.
What is multimodal interview data?
Multimodal interview data is structured human conversation — text, audio, and video — captured from real interviews and prepared for machine learning. Unlike scraped web text or synthetic transcripts, it contains genuine reasoning, communication patterns, and turn-taking, delivered as clean, labeled, privacy-safe datasets.