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Making unstructured data AI-ready

Unlock the Hidden Value in Your Unstructured Data

Transform unstructured data into actionable insights.

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Accelerating Data-Intensive Workflows: From Raw Data to Ready Insights

MetadataHub is an intelligent metadata repository that automatically captures and maintains rich content and contextual metadata from files, including specialized scientific and technical formats like microscopy, genomics, and satellite data. This comprehensive repository forms a unified data fabric, seamlessly connecting enterprise storage systems to data users and applications for streamlined access, enhanced collaboration, and efficient data provisioning. By automating workflows for analytics, AI training, and business operations, MetadataHub ensures data is readily accessible without the need to repeatedly access original files, while maintaining consistent data governance and provenance.

CIOs, CDOs, data scientists, and storage administrators rely on MetadataHub to transform unstructured data into valuable insights and gain transparency across all unstructured data sources. By unlocking content and context, MetadataHub accelerates discovery, enhances operational efficiency, supports strategic decision-making, and delivers better quality data across the enterprise.

Effortless Data Discovery & Access

Gain real-time, self-service access to your data, with the ability to seamlessly search across all data sources using any captured metadata element. Isolate and explore data by content and context—without needing to access the underlying files—accelerating insights while ensuring robust data governance.

Optimized Infrastructure Utilization

Reduce infrastructure load by up to 90% with intelligent, metadata-driven workflows. By minimizing unnecessary data movement, optimize GPU/CPU performance, and efficiently manage network and storage resources, ensuring faster results and cost-effective operations.

Automated Data Pipelines

Accelerate research and analytics with automated data pipelines. MetadataHub seamlessly provisions filtered data to data users and applications, such as analytics platforms, AI and LLM training environments, and data lakes, enhancing workflows and driving insights faster.

Power AI & Analytics with 1000x Smaller Data Proxies

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Unlock the Hidden Value in Unstructured Data

Organizations struggle to extract insights from unstructured data distributed across various storage sources. Traditional methods require processing entire files, leading to inefficiencies and missed opportunities. MetadataHub transforms this process by automatically extracting content and embedded metadata to create a compact data proxy – just 1/1000th of the original file size – that can be used in place of the full file. Once this proxy is created, original files can be moved to low-cost archive storage since the extracted metadata contains the essential content needed for most data operations. While original files remain accessible if needed, organizations can work directly with the metadata proxies, dramatically reducing GPU, CPU, and network resource consumption and cutting unnecessary data transfers by up to 90%. With a unified global query layer, these metadata proxies enable efficient data provisioning for seamless analysis and AI workflows while significantly lowering infrastructure costs.

Transform Unstructured Data into AI-Ready Insights

MetadataHub captures and unlocks critical embedded metadata from complex file types, providing the essential information needed to improve data quality for AI, LLM training, and advanced analytics. By transforming unstructured data into a powerful, easily accessible resource, MetadataHub bridges the gap in data management, optimizing workflows, enhancing resource efficiency, and driving impactful results for data-driven applications.