Ask a difficult collection better questions.
Gemynd connects the answer to the record behind it, so a researcher can move from a question to claims, documents, and pages without losing the trail.
Product preview. The workspace below shows the intended research flow with representative collection data.
Research a collection
RUN 00482In the 1930s, Turnbull appears in the collection as a growing district shaped by school activity, agricultural work, and local road improvements. The answer is assembled from linked claims rather than a single keyword hit.
Search gives you a result. Gemynd gives you a trail.
The workspace is designed for collections where names vary, OCR is imperfect, and the useful context is distributed across documents.
Start with a real question.
Use plain language to explore people, places, dates, events, and relationships across a permitted collection.
Follow the linked claims.
See which extracted claims support the answer, with confidence and the surrounding research context.
Return to the page.
Move from a claim to its document and page reference, so the source stays part of the result.
Keep the context attached.
Gemynd is built for institutional collections that need more than a list of matching words. It turns extracted facts into a connected research surface while the original collection remains under its agreed custody rules.
Bring one difficult question.
A guided preview can use a representative sample from your collection and show what can be searched, connected, and cited.