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Solution

Datamachine AI Knowledge Platform

Bring images, text, audio, documents, metadata, thesauri and relationships together in one searchable knowledge layer. The Datamachine AI Knowledge Platform makes existing knowledge actively usable for search, enrichment, linking and question answering.

Datamachine AI Knowledge Platform

Many organisations already hold valuable knowledge, but it is spread across collection records, documents, scans, images, audio, video, metadata, thesauri and separate files. The Datamachine AI Knowledge Platform brings these sources together in one multimodal knowledge layer. Users can search by words, meaning and visual content, discover relationships, find similar material and ask questions of their own information. Where relevant, results remain traceable to the original source.

Suitable for existing and new collections

The configured knowledge layer can be used to improve existing collections and to describe new collections faster.

When new images or documents are added, the platform can automatically compare them with existing data, metadata and thesauri. This makes new information easier to find and immediately better connected to the rest of the collection.

Who is the platform for?

The Datamachine AI Knowledge Platform is suitable for organisations with large volumes of image, document or collection data, such as:

  • museums;
  • archives;
  • heritage organisations;
  • image banks;
  • research institutions;
  • media companies;
  • organisations with photo collections, scans, documents or rights-sensitive visual material.

From separate data to connected knowledge.

Built around your knowledge, not a single AI model

The solution is not tied to one AI model or provider. Different models can be selected for image, text, audio, extraction and search tasks. When a better or more suitable model becomes available, it can be added without rebuilding the underlying sources, metadata, relationships, rights and quality rules.

Control and quality

AI does the preparatory work. Results remain reviewable and are configured around your sources, fields, terminology and quality criteria. Where relevant, the source or passage remains traceable. Your organisation decides what is adjusted, approved and ultimately used.