For clinicians, lawyers, advisors, the organizations they work in, and anyone whose work runs on hard boundaries: mnemur seals every patient, client, and case in its own room, runs your rules on every call, and keeps what your AI learns yours.
At any time we hold many different contexts, and keep them apart without thinking about it, while learning from each:
We keep these apart with law, privilege, professional duty, and plain judgment. Today's AI pools everything together and forgets the walls, so it can't safely touch your most sensitive work. What it learns from you also belongs to the vendor.
mnemur gives AI the boundaries we already live by: it keeps every context in its own room, compounds your learnings across them, and keeps them yours, portable to the next model.
Keep using your tools — Claude, ChatGPT, Copilot, your own apps, including EHRs:
The AI learns the person's craft and surfaces the best practices the whole organization can adopt. Both compound in your system, both stay yours, and both stay portable to the next model.
Who sees what, your operational (including clinical or local compute) and financial rules, and the walls between contexts: all enforced before the call leaves, not audited after the fact.
No new app to adopt: it works inside the assistants, apps, and EHRs your people already open, so it lands on day one and meets them where the work already happens.
A mnemur productivity app is on the way.
Your people already use AI to reason through a case and draft the work. Today they do it on someone else's surface, with the confidential part masked out in their head, which not only creates organizational risk, but leaks learnings that could compound as your own IP. mnemur lets them do it on the real thing: behind your wall, under your rules, with the learning kept yours.
Clinicians already lean on AI to look up the evidence, reason through a case, and draft the note. Today they do it through an outside app like OpenEvidence or Abridge — masking the PHI by hand on the fly, then copy-pasting the answer back.
Somehow that gets accepted, despite the PHI risk, the learning that leaks to the vendor instead of compounding for you, and how little of the process you can govern.
Lawyers, bankers, and consultants already use AI to research, reason, and draft. Today they do it on an outside surface — masking the privileged or restricted detail by hand on the fly, then copy-pasting the answer back. Somehow that gets accepted, despite the confidentiality risks, the learning that leaks to the vendor instead of compounding for you, and how little of the process you can govern.
The shape isn't limited to medicine and advisory. It fits any field where one body of work must stay sealed from the next:
We intend to open-source our system components over time, and we'll name each one as it's ready.
We stand the system up inside your organization and codebase with you, hands-on: fully custom, fully yours, with our guidance the whole way. We run our own work through it every day.
We run it inside your perimeter, under your guardrails and audit requirements. The learning still lives in your store, and you still own it.
Run mnemur as services on your own infrastructure, with our support — the learning store, the policies, and the audit all stay on your side.