Company
Make surgery the first truly observable craft in modern medicine.
That's the bet we made at Stanford Biodesign in 2022. Five proprietary CV models and 33,600 operative hours later, it's a working platform.
The problem
Hospitals know more about every other corner of their operations than they know about the OR. Schedule slips, supply waste, charge-capture errors, sterile-field breaches — all happen in a room that documents itself in paper checklists, scribbled circulator notes, and after-the- fact billing reconciliation. By the time a measurable problem surfaces, the case is six weeks closed.
The surgical team isn’t at fault. The recording infrastructure isn’t there.
The bet
In 2022, the founders began a Stanford Biodesign program with a simple premise: if you put enough cameras in an OR and apply the right computer vision, you can produce a fully objective record of every case. From that record, everything else — efficiency analytics, cost containment, quality improvement — becomes possible.
Three years and 1,400 cases later, the bet is paying off.
The platform
nSight ships an end-to-end pipeline: 5- to 8-camera capture rigs in the OR, on-premise anonymization, cloud analytics across efficiency / cost / quality, and an in-OR cockpit for circulators. Two Stanford worldwide-exclusive patents form the technical foundation; four pending applications cover the rest of the CV pipeline.
The platform has been deployed in production at Oklahoma Surgical Hospital for 2.75 years. It is the only surgical-intelligence platform in the field built on a fully consented, perpetually owned multi-camera dataset of this scale.
What we’re raising for
We’re scaling to the next ten health systems. The platform is built; the dataset is mature; the clinical champions are aligned. The question is no longer whether surgery can be objectively documented. It’s how fast we can get it into the next OR.