ANALYTICS • MACHINE LEARNING • ARITIFICIAL INTELLIGENCE 

Unlock the Hidden Value in Your Unstructured Data

Transform unstructured data into actionable assets. Powered by AI, MetadataHub captures all metadata, provides contextual insights, and enables content-awareness. Improve data quality, streamline governance, and drive faster, deeper analytics.

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MetadataHub Intelligence Software

MetadataHub is a data intelligence software platform that empowers organizations to derive actionable insights and make data-driven decisions by leveraging the untapped potential of unstructured data and its related embedded metadata. MetadataHub enables CIOs, CDOs, data scientists, storage administrators, and users to unlock hidden value in their unstructured data.

Enable Advanced Analytics:

Make embedded metadata easily accessible to all your analytic tools and data management applications, unlocking valuable insights that drive innovation and competitive advantage.

Improve Data Accessibility:

Enhance collaboration by following FAIR practices and enabling data mesh architectures.


Drive Operational Efficiency:

Streamline data management processes, reduce manual efforts, and minimize data silos, leading to increased efficiency and productivity across the organization.


Reduce Data Preparation Time by Over 90%

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Watch the Video: How to unlock the value in unstructured data

MetadataHub accelerates discovery and improves results by capturing and analyzing all metadata, including embedded data from complex file types and machine-generated sources. Our advanced AI for file and content recognition creates self-describing definitions, transforming unstructured data into searchable, actionable assets. This process reduces data preparation times and drives deeper insights with faster results.

Our comprehensive 360-degree graphical reporting offers unparalleled visibility, breaking down silos and enabling informed decision-making. MetadataHub caters to industry-specific file types and machine-generated data, enhancing both analytical and operational capabilities across your enterprise.

Integrate MetadataHub with your existing data tools for higher-quality results and outputs to drive innovation and efficiency throughout your organization.

Case studies: Click to learn more

Dr. Kerkhoff from Zuse Institute provides an in-depth look at how metadata is extracted and utilized from large datasets, focusing on infection research and microscopy.

Automate Workflows and Provision Data Pipelines

Seamlessly integrate with data-driven applications

Embedded metadata, the richly detailed information encoded directly within files, is the foundation for advanced AI, analytics, and reporting. This hidden treasure trove offers crucial insights into a file’s content, context, and origins, improving computational processes and ensuring robust data provenance. For AI algorithms and analytical models, embedded metadata provides the essential contextual details needed to interpret and analyze data with unprecedented precision. The result: more accurate predictions, nuanced classifications, and deeper insights that drive innovation and inform strategic decision-making. By unlocking the power of embedded metadata, MetadataHub empowers organizations to extract maximum value from their data assets, fueling data-driven success across the enterprise.

TESTIMONIALS

Hear it From Our Clients

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"MetadataHub includes everything that I could think of."

Dr. Kai Ludwig Head of informatics at EBI

I am absolutely impressed with the speed and efficiency of the Image Extractor. What used to require time-consuming manual analysis of large volumes of image data can now be automated in the shortest possible time. The Image Extractor not only provides precise descriptions of image content but also valuable metadata on image quality and much more.

Dr. Yannic Kerkhoff Freie Universität Berlin

"We were thrilled from the start with the functionality of MetadataHub"​

Carsten Schauble Head of informatics at EBI

The Metadata Advisor is a very useful software for quickly understanding the meaning of individual metadata tags and how different tags relate to each other. It has certainly saved me hours of Googling. I was particularly impressed that the Advisor could also explain details about the function of individual microscopes and specifics of the measurement process beyond the tags. This is awesome!

Florian Schlichting ZUSE Institute Berlin