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Datamachine AI Knowledge Platform

Search across documents, metadata and media

Search documents, metadata, images, audio and video from one layer, combining keywords, meaning, filters and multimodal similarity.

Search across documents, metadata and media

Knowledge rarely lives in one file type or system. Datamachine brings different sources together in a search layer that spans documents, collection data and media.

One search entry point across source types

Search exact terms, semantic meaning, metadata filters and, where useful, visual content. Results can link back to the relevant source, page, passage or media fragment.

Existing systems remain the source

The search layer does not need to duplicate source data unnecessarily. We connect to existing collection, document and media systems and build a searchable knowledge layer on top.

Control and quality

AI does the preparatory work. Results remain verifiable and are configured around your sources, fields, terminology and quality requirements. Where relevant, the source, passage, image or recording behind a result remains visible. Your organisation decides what is corrected, approved and ultimately used.

A concrete first step

We prefer to start with a clearly defined test set. Together we define the required output, quality criteria and review flow, so you can see what works before scaling up.