Tokenization, parsing, chunking, and embedding happen once - not every time a new workflow touches the same file. Cut 40-70% of redundant AI spend.
Your AI Is Wasting $250K-$5M+ Per Year
Because it keeps reprocessing the same files again and again. That's the AI Token Tax.
Why AI Costs Keep Rising
The problem isn't innovation - it's repetition.
AI budgets keep climbing not because teams are doing more, but because they're doing the same work repeatedly.
Each new analytics dashboard, compliance check, RAG application, or agent workflow quietly spins up its own ingestion pipeline, storage copies, and processing jobs - for data that already exists elsewhere.
The result: incremental cloud charges, duplicated engineering effort, and steadily climbing monthly invoices.
MetadataHub breaks this cycle.
MetadataHub ends the repetition.
Your unstructured data becomes a persistent, searchable intelligence layer. Extract once. Make it AI-ready. Let every team and workflow access the same insights - instantly and forever.
Harvest Once. Reuse Forever.
Make all your unstructured data instantly usable for RAG, agents, and analytics. MetadataHub creates a persistent knowledge fabric that every AI workflow can reuse.
Runs local to your storage - not a hosted service.
MetadataHub deploys in your data center or cloud account. Your data never leaves your control.
Harvest
Extract content from files where they live - object storage, file systems, archives. Hundreds of formats supported.
Persist
Build a searchable knowledge fabric. All extracted insights persist independently of any workflow.
Provision
Feed AI, RAG, analytics, and governance tools without touching original files.
The benefits that matter most.
No more siloed vector databases or duplicated pipelines. Every RAG instance, agent, and analyst queries the same authoritative source.
Petabyte-scale archives become fully searchable and AI-ready - without migration or copying files.
Deploys on-prem or in your VPC. Your data never leaves your environment. Works with NAS, S3, tape, or any mix.
Measured Impact
Results from production deployments.
40 - 70 %
Reduction in redundant processing
1,000x
Fewer archive recalls
<6 months
Typical payback period
Real results from real deployments.
Eliminating the AI Token Tax on 200 Petabytes in Research
How one of Europe's largest scientific data centers stopped reprocessing the same files.
"At Zuse Institute Berlin, managing 200 petabytes meant our scientists repeatedly reopened and reprocessed the same files. MetadataHub changed that - we could finally access the information instantly without touching the underlying storage."
Carsten Schaeuble
Head of Group, IT & Data Services, Zuse Institute Berlin
PB-scale
archive now fully searchable
From Petabyte Blindness to Instant AI-Ready Microscopy
MetadataHub transformed years of microscopy research data into instantly searchable, AI-ready assets.
"In seconds I can find 80,000 microscopy images at exactly 300 nm resolution - something that was impossible before MetadataHub."
Dr. Yannic Kerkoff
Researcher, Zuse Institute Berlin
PB-scale
microscopy data now searchable