Objects, images and documents in collections are often connected in different ways, but these relationships are not always visible in existing metadata or classification. Coherence and structure may therefore remain underdeveloped. With Grouping, we help cluster material based on content similarities, such as shared themes, object types, visual characteristics, usage context or document content.

We help group related objects, images and documents based on content. We look at similarities in metadata, text, image and context, so that material that belongs together becomes visible as such. This makes it easier to order collections, recognise relationships and use material purposefully for management or presentation. Grouping supports practical applications such as storage planning as well as digital presentations centred on coherence and connection.

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.