Technology
AI-powered enrichment
We use natural-language processing and machine learning to automatically extract structured metadata from research papers. Our models identify key variables creating a machine-readable profile for each study.
Transparent, auditable data
Each metadata record maintains version history and source attribution, ensuring transparency and reproducibility. This approach creates a verifiable trail of enrichment and validation.
Human-in-the-loop validation
Accuracy matters. That’s why every metadata entry can be reviewed and rated by domain experts. Reviewer feedback contributes to a trust score weighted by reviewer expertise and accuracy history.
Architecture overview
Paper → AI Parsing → Draft Metadata → Researcher Validation → Published Record. Every step designed for traceability and open collaboration.