nSights — turning clinical research into a few minutes of work, not weeks.

Most of what a clinical researcher needs is locked inside electronic medical records — and most of that sits in unstructured notes that no query can reach. Building a defensible cohort, comparing it against a control, and tracing every result back to source evidence is slow, manual work that can run for weeks before a single insight lands.

The goal was to collapse that loop. Let a researcher go from cohort to patient to evidence in minutes — with criteria that read like clinical language, statistics that hold up to scrutiny, and every claim deep-linked to the note it came from.

The hard part of the experience is upstream of any screen: a clinical note is free text, and a researcher needs it as discrete, addressable facts. The curation pipeline reads a note, finds its section headers, predicts where each sentence belongs, and resolves the ambiguous cases — so a later question like "what was the tumour size, and did it change?" can be answered against labelled structure rather than a wall of prose.

That structure is what makes the rest of the product honest: every highlighted entity, every statistic, every AI answer traces back to a specific sentence in a specific note.

The platform pulls cohort definition, statistical analysis, evidence curation, AI Q&A and medical imaging into a single workspace — so the researcher never has to leave one tool to verify what another claimed.