Clairva offers a data infrastructure for video AI that provides curated, rights‑cleared video libraries with full provenance audit trails. The datasets include structured metadata, contextual tags, language identification, and scene segmentation, and are delivered in pre‑training and fine‑tuning ready formats for seamless integration into model‑training pipelines. By supplying legally compliant, culturally diverse video content across 50+ languages, Clairva reduces compliance risk and improves the contextual accuracy of video AI systems.
Funding
Funding not disclosed
Founders
Product
Problem
AI developers building video models often rely on scraped or poorly documented footage, exposing them to legal liabilities and resulting in datasets that lack cultural context and reliable metadata. This “representation gap” hampers model performance, especially for applications targeting diverse global regions.
Solution
Clairva provides a data infrastructure that supplies curated, rights‑cleared video libraries with full provenance audit trails. The content spans over 30,000 hours and 50+ languages across South Asia, Southeast Asia, the Middle East, Africa, and Latin America, ensuring legal compliance and cultural relevance. Each dataset includes structured metadata, contextual tags, scene segmentation, and pipelines formatted for pre‑training and fine‑tuning, allowing seamless integration into existing model‑training workflows. By delivering provenance‑verified, globally representative video data, Clairva reduces compliance risk and improves the contextual accuracy of video AI systems.
Target Audience
Primary customers are foundation model builders, enterprise AI teams, and organizations pursuing sovereign AI initiatives that require legally compliant, culturally diverse video datasets.
Features
- Licensed video collections with complete source‑to‑model audit trails
- Metadata enrichment with contextual tagging, language identification, and scene segmentation
- Pre‑training and fine‑tuning ready data formats and model‑compatible pipelines
- Coverage of 50+ languages and diverse cultural settings across underserved regions
- Scalable library organized by geographic zones (South Asia, Southeast Asia, MENA, Sub‑Saharan Africa, Latin America)