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Vision

Every dose in medicine, witnessed.

Not watched — witnessed. There's a difference, and the difference is the company.

Why medications, why cameras, why now

Medication handling is the one clinical documentation task where the thing worth seeing isn't a person. The subjects are vials, syringes, and labels; the record it produces is already mandatory in every OR on earth; and the answers are physically checkable — a volume is physics, a label is print. It is, we believe, the most logical first job for camera AI in all of clinical medicine: the place where machine perception can earn trust without asking anyone to be watched.

First the OR. Then everywhere a drug moves.

The operating room is the hardest capture environment in the hospital — occlusion, glare, speed, sterility. Solving it first is deliberate. The same perception being built for the anesthesia workspace extends to sterile compounding, controlled-substance custody and waste, procedural sedation, and every point where human hands touch high-stakes medications.

One platform. One kind of record. Ambient medication intelligence for the whole hospital — built in the open, validated in public, one published study at a time.

The debate about cameras will continue. Somewhere, camera AI has to earn trust the honest way.

We think that place is a stainless steel tray, ninety seconds before incision.

Help build it