Datamachine AI Knowledge Platform
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.
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 describe new collections faster.
When new images or documents are added, the platform can automatically compare them with existing data, metadata and thesauri. New information becomes easier to find and immediately better connected to the rest of the collection.
What does it deliver?
With the platform, organisations can:
- search images and text faster;
- automatically enrich metadata;
- describe new collections faster;
- find duplicates, variants and related images;
- connect people, places, objects and documents;
- apply thesauri more consistently;
- use AI agents safely on your own data;
- bring knowledge from different systems together.
Connect images, documents, metadata and AI in one smart knowledge layer.
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.
A concrete first step
We prefer to start with a clearly defined test set. Together we agree the required output, quality criteria and review flow. This shows what works before you scale up.