Surgikal turns raw OR recordings into protocol-compliant summaries, objective performance scorecards, and draft operative notes — building a searchable case library that you own, on your own machine.
Built by a surgical oncologist. Runs on your Mac. You pay only for the AI you use (~$1–3 per case).
A 2-hour laparoscopic recording becomes everything you actually need from it — in about the time it takes to write up the case by hand.
A 10–30 minute cut of the surgically meaningful moments, chaptered by phase, defined by your own retain/skip protocol.
Objective per-case metrics — critical view of safety, phase efficiency, confidence — compared against your own history.
A structured SAGES-format note drafted from video evidence and your dictation. You review, edit, approve, export.
Your corrections become new protocol versions. The system classifies the next case the way you would.
Every case indexed and full-text searchable. Curate teaching collections and export highlight reels.
Approve cases, edit notes, and dictate from your phone — while the raw video stays on your machine.
No uploads, no waiting on someone else's servers. The heavy work happens where the video already is.
Drag it into the app, or point Surgikal at a folder — the OR computer can feed cases to your Mac automatically.
Frames are extracted locally and classified against your protocol by Claude. Only still images are sent — never the video.
Review the classification, flip anything the AI got wrong, approve the cut. Your corrections make the next case better.
Data handling a clinician can explain to their hospital in one sentence.
We're onboarding a small group of laparoscopic surgeons. Bring one recorded case; leave with a summary, a scorecard, and a draft note.
Request early access