Datamachine AI Knowledge Platform
AI assistants with source references
Ask questions about your own sources and receive answers that, where relevant, link back to the documents, passages, records or media they are based on.
A reliable AI assistant for collection and knowledge environments needs more than a chat window. Quality depends on the underlying sources, metadata, rights, search layer and context.
Ask questions about your own information
The assistant first searches the configured knowledge layer and uses relevant sources to support its answer. Users can see where information comes from and review it themselves.
Configured around your organisation
Terminology, access rights, filters, source priority and answer rules can be adapted to the organisation and use case.
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.