Surgeons make 3D decisions from a 2D image. LapSx plugs into any existing laparoscopic stack and delivers real-time AI guidance — improving efficiency, reducing complications, and capturing every frame for training.
Over $40 billion is spent on laparoscopic operations every year in the US alone. Surgeons navigate complex 3D anatomy through a 2D screen — with no real-time decision support, no data capture, and no scalable training feedback.
Every laparoscopic procedure requires a surgeon to interpret a flat, 2D video feed and mentally reconstruct the 3D anatomy beneath the surface. This cognitive leap happens thousands of times per day across operating rooms worldwide — with no technological support, no objective verification, and no record of what was seen or decided.
Complications drive extended stays, re-operations, and litigation. Overruns cascade through OR schedules, costing hospitals hundreds of thousands in lost throughput annually. Meanwhile, the surgical workforce trains the same way it did 30 years ago — watching, assisting, hoping to learn enough before operating alone.
From the LapSx demonstration reel — the same 2D feed a surgeon sees, with the anatomy made explicit.
LapSx is a real-time AI co-pilot that connects to any existing laparoscopic stack. No hardware purchase. No workflow change. No IT project.
From the LapSx demo — critical anatomy identified on the surgeon's existing monitor.
The LapSx device connects to any existing laparoscopic tower via standard video output — HDMI, DVI, VGA. No capital expenditure. No procurement cycle. A surgeon can start using it the same day.
The AI processes the live video stream frame by frame — identifying anatomy, tracking instruments, and building a spatial understanding of the surgical field from the 2D feed.
A real-time overlay delivers guidance directly on the surgeon's existing monitor. Every frame is stored for training, audit, and continuous algorithm improvement.
Anatomical structures segmented frame by frame — from the LapSx demo reel.
Real-time anatomical identification and risk-zone flagging provides an objective second opinion during the critical moments of every procedure.
AI-assisted procedures reduce decision latency and theatre overruns — enabling higher surgical throughput and better OR scheduling predictability.
Every procedure becomes a training asset. Annotated surgical video provides residents and fellows with a data-driven learning environment no textbook can replicate.
The NTAP pathway enables hospitals to receive additional reimbursement per qualifying case — making LapSx cost-neutral or revenue-positive from day one of deployment.
4 million laparoscopic operations per year in the US alone. LapSx is procedure-agnostic — starting with the highest-volume indications and expanding across the full laparoscopic, endoscopic, and robotic surgical landscape.
LapSx is led by a surgeon who has lived this problem for over a decade at the operating table — with a track record of selling to hospitals at scale, navigating FDA pathways, and bringing SaMD products to market.
The founding team combines frontline clinical expertise with deep surgical AI engineering. A global advisory network spans North America, Europe, and India — providing clinical validation, regulatory access, and alpha site partnerships from day one.
LapSx is raising a pre-seed round. We welcome conversations with investors who believe AI will transform how surgery is performed, taught, and measured.
sham@lapsx.ai