OMNES
AI

PRODUCT OVERVIEW
A Knowledgebase to Empower AI
DB Seret has a Research and Development Laboratory committed to the development and implementation of solutions using Artificial Intelligence.

This R&D Laboratory specializes in the study and implementation of solutions using Artificial Intelligence, which has included research projects leading to the creation and experimentation of new algorithms and innovative models.

The DB Seret team works in the fields of Machine Learning and Deep Learning, and has developed solutions capable of interpreting, text, image, and video,. We are also developing solutions for automatic metadata tagging, synthesis, and reprocessing of textual and multimedia content.

Over the years, innovative products have been created using pioneering initiatives in AI technology, and DB Seret has acquired advanced expertise in both natural language processing and Generative AI.

DB Seret provides customized solutions to integrate advanced services such as textual or animated chatbots, image and video recognition systems, text generation, creation of personalized dashboards, and workflow automation.

These solutions are being used to accelerate data-driven decisions and productivity within our customers.
OMNES conformS to industry standards
PREMIS
Preservation Metadata Maintenance Activity (Library of Congress) The PREMIS Data Dictionary for Preservation Metadata is the international standard for metadata to support the preservation of digital objects and ensure their long-term usability.
OAIS
The Open Archival Information System reference model, is a conceptual framework for an archival system dedicated to preserving and maintaining access to digital information over the longterm. It ensures stability and consistency, including terminology.
Dublin core protocol
Dublin core protocol is an international metadata standard, formally known as the Dublin Core Metadata Element Set, and includes 15 metadata terms. These terms offer expanded cataloging information and improved document indexing for search engine programs.
METS schema
Metadata Encoding and Transmission Standard (METS). The METS schema is astandard for encoding descriptive, administrative, and structural metadata regarding objects within a digital library, using the XML schema language, which expresses the hierarchical structure of digital library objects.
PREMIS
PREservation Metadata Information Strategies (Library of Congress) The PREMIS Data Dictionary for Preservation Metadata is the international standard for metadata to support the preservation of digital objects and ensure their long-term usability.
OAIS
The Open Archival Information System reference model, is a conceptual framework for an archival system dedicated to preserving and maintaining access to digital information over the longterm. It ensures stability and consistency, including terminology.
Dublin core protocol
Dublin Core is an international metadata standard, formally known as the Dublin Core Metadata Element Set, and includes 15 metadata terms. These terms offer expanded cataloging information and improved document indexing for search engine programs.
METS schema
Metadata Encoding and Transmission Standard (METS). The METS schema is a standard for encoding descriptive, administrative, and structural metadata regarding objects within a digital library, using the XML schema language, which expresses the hierarchical structure of digital library objects.
OMNES conformS to industry standards
PREMIS
Preservation Metadata Maintenance Activity (Library of Congress) The PREMIS Data Dictionary for Preservation Metadata is the international standard for metadata to support the preservation of digital objects and ensure their long-term usability.
OAIS
The Open Archival Information System reference model, is a conceptual framework for an archival system dedicated to preserving and maintaining access to digital information over the longterm. It ensures stability and consistency, including terminology.
Dublin core protocol
Dublin core protocol is an international metadata standard, formally known as the Dublin Core Metadata Element Set, and includes 15 metadata terms. These terms offer expanded cataloging information and improved document indexing for search engine programs.
METS schema
Metadata Encoding and Transmission Standard (METS). The METS schema is astandard for encoding descriptive, administrative, and structural metadata regarding objects within a digital library, using the XML schema language, which expresses the hierarchical structure of digital library objects.
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