Use case
Private AI knowledge base for university labs
Ask your lab's papers, protocols, theses, notes, and code. Get answers cited to your own evidence, with a clear refusal when support is missing.
Who it is for
PIs, postdocs, lab managers, PhD students, and research groups working with internal lab knowledge.
Why this matters
Lab knowledge is usually present somewhere, but the route to it depends on memory, folder habits, and who is still around to explain the context.
What it helps with
Give new members a reliable place to ask recurring lab questions.
Recover prior decisions and method details without re-reading every old document.
Keep evidence visible before a claim reaches a manuscript, protocol, or meeting.
How a pilot would use it
- Start with a focused set of trusted papers, protocols, theses, and notes.
- Ask project-history, protocol, and source-checking questions in plain language.
- Open the cited source before using the answer in research work.
Example question
What did we decide after the failed validation run?
The team kept the buffer composition unchanged and shortened incubation to 20 minutes after the May validation notes showed comparable signal with less background noise.
Trust and controls
- Answers are grounded in the lab's uploaded documents.
- Workspace permissions govern which sources a user can search and cite.
- Managed, BYO-key, and local/self-hosted AI paths are available for different approval needs.
Current Early Access limits and provider-mode disclosures are documented on the known limitations page.
Start with a focused lab corpus
The strongest pilot starts with documents your lab already trusts: protocols, core papers, theses, project notes, and recurring questions.