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.
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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.
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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.
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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.
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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.
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These solutions are being used to accelerate data-driven decisions and productivity within our customers.

OMNES conformS to industry standards

ISAD(G)

ISAD(G) stands for "General International Standard Archival Description" and it provides guidelines for the description of archival materials. It outlines principles and rules for the creation of consistent and comprehensive descriptions of archival collections, including their content, context, and structure.

EAD

The origin of EAD (Encoded Archival Description) dates back to Berkeley University in California in 1993, with the aim of developing a non-proprietary standard for encoding in digital format research tools such as inventories, summary lists, and indexes using the Standard Generalized Markup Language (SGML).

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

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.

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

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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