Metadata intelligence for AI and storage workflows.
MetadataHub creates a unified context layer for unstructured data across storage systems, powering AI readiness, search and discovery, governance, automation, data movement, archive visibility, and storage optimization.
Extract once. Apply everywhere.
Unified Metadata Intelligence
Create one metadata context layer across object, file, and archive environments so AI teams, storage teams, and operations all work from the same trusted data understanding.
See the workflow impactScientific DataAI-Ready Research Data
Make petabyte-scale research data usable across AI and storage operations with searchable context, governance signals, and metadata-driven automation that preserves scientific meaning.
See the research approachHarvest once. Reuse forever.
Harvest
Extract content and context from files where they live: object storage, file systems, tape, any hybrid environment. Hundreds of formats.
Persist
Build a compact, intelligent knowledge fabric that lives independently of any single workflow, at a fraction of the original size.
Provision
Deliver clean, contextual data to every system at once: RAG, agents, search, analytics, governance. No copies, no migration.
One canonical layer. Infinite reuse.