Population health & analytics · Operating room operations AI
Proximie
Proximie connects operating rooms to the cloud, with remote surgical collaboration and video recording plus room-level AI that tracks turnover, utilization, and delays.
Strong fit
- Health systems that want live data on OR turnover, utilization, and on-time starts across many rooms
- Teaching hospitals and device companies that want surgeons to join cases remotely and build a video library
- UK and international hospitals that want a vendor with a large NHS footprint
Weak fit
- Hospitals that only need scheduling optimization without cameras
- Small surgery centers with a few rooms
- Buyers who need a published price list
Bottom line
Proximie, founded by London plastic surgeon Nadine Hachach-Haram, connects operating rooms to the cloud. Its Surgical Suite lets surgeons join cases remotely and record video, and its Intelligence Suite captures room data to show turnover, utilization, and delays in real time. It fits health systems that want OR efficiency data and remote surgical collaboration from one vendor.
Score breakdown
Weights: Outcomes 35% · Product 30% · Implementation 20% · Pricing clarity 15%.
Nadine Hachach-Haram, a plastic surgeon at Guy's and St Thomas' in London, launched Proximie in 2016 so surgeons could virtually scrub in to operations anywhere in the world. Its Surgical Suite streams a case to remote experts, who can mark up the view and guide the team, and builds a library of recorded procedures. The newer Intelligence Suite captures image frames and procedure data from each room, predicts delays, and sends alerts to nurses, surgeons, anesthesiologists, and OR managers about turnover, utilization, and on-time starts. It works with Epic.
Proximie raised an $80 million Series C in 2022 led by Advent Life Sciences. In July 2026 it signed a multi-year deal with UC San Diego Health to deploy the Intelligence Suite in 44 operating and procedure rooms at four hospitals. In September 2026 it began a year-long evaluation with AWS, Deloitte, and eight NHS hospitals across 104 operating theatres, endoscopy suites, and cath labs, and its Surgical Suite is available in about 20 percent of NHS hospitals. Proximie's figures from two NHS trusts using the Intelligence Suite show an 8.2 percent increase in cases and a 30 percent cut in turnover time. Proximie is used in more than 500 facilities in 50 countries.
Compare Aimbient when safety review and published research drive the purchase, Apella when a U.S. hospital wants ambient AI focused on OR status and EHR updates, LeanTaaS when block scheduling from EHR data is the goal, Opmed when schedulers want AI to rebuild the OR schedule, Qventus when patient flow across the hospital matters most, and Artisight when nursing units need sensors too.
Competitor landscape
| Vendor | Overall | Ease of implementation |
|---|---|---|
| Aimbient | 7.9 | 6.4 |
| LeanTaaS | 7.8 | 7.2 |
| Apella | 7.6 | 7.2 |
| Proximie | 7.6 | 6.1 |
| Opmed | 7.3 | 8.2 |
| Qventus | 7.2 | 6.8 |
| Artisight | 7.1 | 6.6 |
Pricing
| Item | Detail |
|---|---|
| Model | Enterprise contract quoted by Proximie. |
| What usually drives cost | Number of rooms and sites, hardware in each room, and whether the Surgical Suite, the Intelligence Suite, or both are licensed. |
| What to ask in diligence | The price per room per year, hardware costs, and what EHR integration and analytics add. |
| Published pricing | No public list price. |
Prerequisites for purchase
| Need | Why it matters |
|---|---|
| What you need to get Proximie to function | |
| Perioperative operations lead | Owns turnover and utilization targets. |
| Room hardware and network plan | Each room needs capture equipment and bandwidth. |
| EHR integration | Room data needs case context. |
| Privacy and information governance review | Images leave the room for analysis. |
| Surgeon champions for remote collaboration | Remote cases need willing experts. |
| What will maximize your value | |
| Start with turnover and on-time starts | These show gains first. |
| Share alerts with charge nurses in real time | Delays get fixed while the day runs. |
| Use the video library for training | Recorded cases help new surgeons. |
| Deal-breakers | |
| No network capacity in ORs | |
| No operations owner | |
| Needs scheduling software only | |
Value creation time frame
| # | Stage | Typical range |
|---|---|---|
| 1 | Contract, privacy review, and room survey | 1-3 months |
| 2 | First rooms live | 2-4 months |
| 3 | More rooms and sites | 6-12 months |
Leadership
Methodology
| Weight | Factor | What it measures |
|---|---|---|
| 35% | Customer outcomes | Whether buyers get measurable operational or clinical-workflow results after go-live |
| 30% | Product | Capability depth, reliability, and fit for the job the category buys |
| 20% | Implementation | How hard it is to stand up, integrate, train, and stabilize |
| 15% | Pricing clarity | Whether a buyer can model total cost without a mystery quote |
| Label | Meaning |
|---|---|
| Highly recommend | Strong outcomes and product with manageable caveats |
| Recommend | Solid fit for the right buyer; know the tradeoffs |
| Conditional | Only with a specific use case or heavy caveats |
| Not recommended | Avoid for most buyers in this category |
Read our full methodology for how we weight scores and assign recommend labels.