Knowledge. Organized. Searchable. Yours.
Your notes, shared cases, and quality-aware literature — synthesized. Every case is PHI-scrubbed before it is stored, so surgical knowledge stays useful without putting patient identifiers at risk.
Two-minute voice note transcribed and structured
The problem
This is how surgical knowledge flows today
None of this is a personal failing. It is an infrastructure problem — there has never been a safe, shared place built for the way surgeons actually capture and reuse what they learn.
- 01
Operative details are scattered across many surfaces, requiring consolidation and summarization
- 02
Sharing a case safely means manually stripping anything that identifies a patient
- 03
Reference literature is scattered across journals with uneven quality signals, disconnected from your own notes
- 04
Sharing with a colleague means sharing over email or via multiple platforms with limited access management
- 05
Knowledge isn't easily compounded within institutions, schools, or societies, wasting your time to get caught up
Why a vault
As AI becomes ubiquitous, the ground shifts under the tools you trusted
The everyday apps where knowledge accumulates were built for convenience, not patient confidentiality. As general-purpose AI is wired into more of them, the place you keep a case matters as much as how you capture it.
- 01
General-purpose tools are designed to read, index, and summarize whatever they hold — patient information included.
- 02
Convenience surfaces were never built to keep clinical detail confidential, and that gap widens as AI reaches further into them.
- 03
A vault built for PHI scrubs every entry before it is stored and keeps access to verified colleagues you choose.
The solution
Capture freely. Commit cleanly.
Four steps move a case from the operating room to durable, searchable knowledge — without ever putting patient identifiers at risk.
Get the case out of your head in about two minutes.
- Voice-first dictation, transcribed automatically
- Structured into a consistent case format
- Import from Evernote, Notes, Notion, and voice memos
The vault stays clean. Every write is de-identified first.
- Automatic HIPAA Safe Harbor removal of all 18 identifiers
- Dual-pass processing before anything is committed
- High-confidence PHI is hard-blocked, never silently stored
Your notes, shared cases, and quality-aware literature — synthesized.
- Search across your own vault and cases shared with you
- Literature ranked with transparent quality signals
- Briefs organize source material for review, not clinical authority
Controlled access inside a credentialed network.
- Visible only to verified colleagues you choose
- Granular permissions: view, comment, edit, copy
- Complete audit logging, with access you can revoke
Surgical Knowledge, Secured
From a single case to a searchable body of surgical judgment
Before the procedure
Review prior cases before entering the OR.
Search your vault for similar techniques, complications, positioning decisions, and prior outcomes before the next case begins.
Immediately after the case
Capture surgical judgment while details are still fresh.
Open the app, dictate for two minutes, and preserve the nuance that usually disappears by the end of the day.
As your vault grows
Turn scattered experience into a body of work.
Cases, notes, attachments, outcomes, and technique refinements become organized by procedure, specialty, and context.
When a case should be shared
Share the right case with the right people.
Share specific notes or cases inside a verified environment with permissions, PHI Clean status, and access visibility built in.
Months or years later
Find the case you would have forgotten.
Search by procedure, complication, technique, date, outcome, or anything you dictated — even years after the original case.
Surgical knowledge, secured
Document each case once, keep it clean, and let what you learn compound for the next one — inside a network of physicians you trust.
Credentialed physicians only · Identity & credential verification required · Every access logged
