Aimbient vs Apella (2026)
Both companies put cameras in the operating room and turn what they see into timestamps, forecasts and live room status, so perioperative leaders often meet them in the same evaluation. They start from different places. Apella was built for operations. Four fixed cameras per room feed its own detection models, which timestamp up to 14 events and can write them back to Epic in real time, and its modules forecast case duration, flag delays, fill open block time and report on turnovers. A Houston Methodist study tied it to a 7 percent rise in monthly case volume in a cardiothoracic suite, and the company publishes detection accuracy from a peer reviewed paper. Aimbient, the former Surgical Safety Technologies, began with the OR Black Box for surgical safety and review. It captures room video, operative video, audio and device data, and its models now forecast the day and timestamp events too, but much of its value sits in de identified case review, checklist auditing, trauma video review and surgical education, backed by more than 100 peer reviewed publications on what its recordings show about teams and outcomes. Apella suits a hospital whose first goal is capacity and on time starts; Aimbient suits one that wants operations, quality review and teaching on one recording platform.
- One platform for operations, quality and safety review, surgical education and trauma video review, across operating rooms, cath labs, endoscopy, labor and delivery and trauma bays.
- Operative video and audio captured alongside room video, with faces blurred, off field video blurred and patient details muted in audio.
- A long research record on checklist performance, team behavior and outcomes, including a Surgical Endoscopy study of 4,581 patients.
- SOC 2 Type II named on its trust page, and more than 99 percent of captured data deleted within 30 days.
- Event timestamps written back to Epic in real time, with Oracle Health Cerner also supported.
- Detection accuracy published in a peer reviewed paper, with F1 of 0.98 to 0.99 across five events at a Texas health system.
- A Houston Methodist study linking the platform to about 25 more cases a month in a 15 room cardiothoracic suite.
- Case duration forecasts, delay alerts and open time tools aimed at adding cases without adding rooms or staff.
This comparison is published by AI Health Index, an independent research platform that compares healthcare AI vendors objectively. Aimbient and Apella are each graded against the same capability taxonomy, from each vendor's own public materials and the regulatory record, under the AI Health Index verification standard. No vendor pays for placement, and no vendor has reviewed this page. How this evidence is graded
Plain facts
| Fact | Aimbient | Apella |
|---|---|---|
| Primary category | Hospital & Unit Operations | Hospital & Unit Operations |
| Founded | Not recorded | 2019 |
| Headquarters | New York, New York, United States | San Francisco, California, United States |
| Website | aimbient.com | apella.io |
Side by Side
Select any grade to read the note behind it.
Each vendor in one paragraph
Written to be quoted whole. Each paragraph states what the AI Health Index verified about the vendor, with the caveats attached.
Aimbient records the whole case, not just the room: ceiling cameras, operative video, audio and device telemetry feed more than 25 purpose built models. The same recording serves perioperative leaders, quality and safety reviewers and surgical educators, across operating rooms, cath labs, endoscopy, labor and delivery and trauma bays.
Source: AI Health Index, October 2026
Apella is built for perioperative throughput: four fixed cameras per room feed its own models, which detect up to 14 events from patient entry to room setup and write the timestamps into Epic as they happen. Hospitals use Pulse, Horizon and Insight to run the day, plan blocks and audit protocols afterward.
Source: AI Health Index, October 2026
Questions buyers ask
How does each one capture what happens in the room?
Apella uses four fixed wall cameras per operating room and identifies events and objects rather than people, keeping video no longer than 28 days and using it for model training and quality assurance. Aimbient captures room video, operative video, audio and device data, blurs faces and off field video, mutes patient details in audio, and says more than 99 percent of captured data is deleted within 30 days. From the AI Health Index, drawn from each vendor's own published materials and the regulatory record, verified October 12, 2026. No vendor pays for placement.
What research has each platform produced?
Apella cites a 2025 BMJ Health & Care Informatics paper scoring its event detection at F1 0.98 to 0.99, and a 2026 Journal of Imaging study from Houston Methodist that found about 25 more cases a month in a cardiothoracic suite. Aimbient cites more than 100 peer reviewed publications, many on checklist performance, team behavior and outcomes, while its operational gains, such as 8 percent more usable block capacity, are network averages with no named site. From the AI Health Index, drawn from each vendor's own published materials and the regulatory record, verified October 12, 2026. No vendor pays for placement.
Is pricing public for either?
Neither publishes a price. Apella supplies and maintains the cameras and offers a capacity calculator built on a hospital's own inputs. Aimbient sells an enterprise platform that starts in one procedural area and expands across rooms. From the AI Health Index, drawn from each vendor's own published materials and the regulatory record, verified October 12, 2026. No vendor pays for placement.
Related comparisons
Other published head to head assessments involving these vendors or their closest peers. The full set for this category is on the Hospital & Unit Operations page.
Until July 2026 Aimbient traded as Surgical Safety Technologies. Houston Methodist, where Apella runs in more than 200 operating rooms and where its case volume study took place, holds a minority equity stake in Apella, and an Apella economist ran that study's original analysis.