By industry
Where a confident wrong answer does harm.
Regulated, safety-critical and provenance-driven. The near-miss — an answer that is plausible, adjacent and wrong — is the failure mode that matters most here.
What goes wrong today
The problem in healthcare & life sciences
- A system that always returns its best match will answer a question it cannot answer, with the same confidence it uses when it can.
- Research and clinical provenance has to survive scrutiny years after the work, and usually lives in people and documents rather than in a system.
- Protocols and guidance change; the old version keeps circulating.
What you would do with it
The same platform, pointed at your problem
Refusal as a feature
When the answer is not in your knowledge, it can say so instead of returning the nearest thing it found — where every other method we tested could not say so at all. On the benchmark it declined 41 of the 49 questions the documents could not answer.
Provenance that holds up
Every claim carries its source, author and date, so the basis for a decision can be reconstructed long after.
Current protocol only
Superseded guidance is dated and set aside rather than competing with what replaced it.
What changes
In terms your finance director recognises
Fewer confidently wrong answers reaching clinical or research work
Provenance available on demand rather than reconstructed
Guidance changes that propagate rather than linger
The lead angle here is reliably right, with recall — but the platform underneath is the same one on every page of this site. See how it works.
Other industries
Start with one team.
Small teams use Cornerstone free. No card, no sales call, nobody to approve it.