Keva provides a extensive metadata-rich object storage system designed to securely store and organize various types of digital assets such as documents, images, datasets, and archives while preserving metadata, relationships, and contextual information. Its key features include attaching flexible metadata, establishing relationships and provenance, enabling precise querying beyond mere filenames, and supporting multiple interaction modes—direct usage, integration with existing software, or agent-based access—making it suitable for developers, data managers, and enterprise users seeking reliable, structured, and searchable storage solutions. It addresses issues of data organization, retrieval accuracy, contextual understanding, and seamless integration, ensuring that users can efficiently manage, locate, and utilize their stored objects with clarity and confidence.
Keva pode ser encontrado em Digital Asset Management (DAM) categorias.
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