Efficiency
Turnover, utilization, FCOT, benchmarks. Shorten setup and turnover times, increase case volume per OR.
- Turnover times
- First-case on-time starts
- OR utilization
- Phase-by-phase benchmarks
- Case-volume forecasting
The objective surgical record.
Automatic documentation for OR efficiency, cost containment, and quality improvement.
nSight is the first end-to-end platform for automatic surgical documentation. Five to eight synchronized cameras per OR capture every case; five proprietary AI models turn surgical video into live insight for OR efficiency, cost containment, and quality improvement. 2.75 years in production at our design partner. 1,400 cases analyzed. 33,600 operative hours captured.
2.75 years in production · 1,400 cases analyzed
33,600 operative hours captured · 8 synchronized cameras
Pilot model · 6 ORs · 3 years
$4.3M net savings. 850% three-year ROI.
Modeled across efficiency gains, charge capture, supply waste, and quality improvements at our 6-OR design partner. Outcomes benchmarked against pre-deployment baseline.
Three jobs, one continuous record.
From the same multi-camera capture, nSight produces structured insight across the three jobs every OR has to do well.
Cost
Charge capture, supply waste, tray rationalization, case costing. The beachhead.
- Charge-capture audit
- Supply-waste reduction
- Tray rationalization
- Preference-card optimization
- Real-time case costing
Safety & Quality
Surgical count support, sterile-field adherence, room traffic, checklist compliance, SSI analysis.
- Surgical-count support
- Sterile-field adherence
- Room-traffic monitoring
- Checklist compliance
- SSI rate analysis
Design partner
- Oklahoma Surgical Hospital (OSH)
Academic partners
- Stanford University
- Stanford Byers Center for Biodesign
- UCSF Department of Orthopaedic Surgery
Recognition
- HLTH 2023 Best in Class
- MedTech Innovator 2026 Radar Forum
- SXSW Pitch 2023 Finalist
- Endless Frontier Labs Digital Health
As seen in
- Leader's Edge Magazine — AI in the OR
The moat
The field’s largest multi-camera surgical dataset.
Fully consented, HIPAA-aligned, perpetually owned. Five proprietary computer-vision models trained on it.
- Operative hours captured
- 33,600
- Surgical cases analyzed
- 1,400
- Synchronized cameras
- 8
- Years in production
- 2.75
Five proprietary CV models
- Face & voice anonymization (on-premise)
- Surgical phase segmentation
- Item & instrument detection
- Sterile-field & staff-movement detection
- Safety-count automation
“My circulator mixed up 6 meniscus repair implants for one suture cutter. In this example the hospital lost $2,725 basically for the incorrect billing. 20% of my cases have a significant error that results in lost revenue. I can't even tell you the number of times this happens.”
Kevin Shea, MD
Stanford Children's Hospital — Director of Sports Medicine, Vice Chair Pediatrics Ortho Research
See it in your OR.
30 minutes with our team. We’ll walk through capture, analytics, and how the workflow lands in a real OR. No prep needed.