Improve from the actual procedure, not fragmented recollection.
Aimbient is procedural ambient AI infrastructure for quality and safety teams. It creates a synchronized, integrated, de-identified view of every procedure — then uses AI to help teams find the cases, patterns, and evidence that deserve review.
Built on 15M+ hours of real procedural data
Backed by 100+ peer-reviewed publications
Designed for non-punitive improvement
The Problem
Quality teams cannot improve what they cannot reliably see.
For decades, the procedural environment has been a black box for retrospective improvement. Today, without ambient infrastructure, systemic quality improvement is blocked by a lack of objective truth:
01
Missed learning opportunities
Important learning cases are missed unless someone remembers to escalate them.
02
Incomplete review evidence
RCA and M&M often rely on fragmented memory, chart review, and disconnected documentation.
03
Observation that cannot scale
Putting observers in rooms changes the work and cannot cover the enterprise.
04
Patterns found too late
Trends across cases are hard to see until they become recurring harm, waste, or variation.
The Solution
Automatically surface the cases your quality teams should not miss.
Instead of waiting for voluntary reporting or manual chart review, Aimbient's AI models analyze every case and provide your team with a searchable queue of cases that deserve review.
Synchronized case record
Video, audio, vitals, EHR context, tags, and timeline aligned in one procedural view.
Review-ready evidence
The actual case record prepared for structured debriefs, RCA, M&M, audits, research, and quality initiatives without requiring manual observers in the room.
Integrated context
Clinical, operational, and procedural signals are connected instead of scattered across systems.
De-identified review
Review workflows designed to focus teams on process, patterns, and improvement.
Outcomes
When teams review a case from memory, the conversation starts with reconstruction. When they review from the synchronized procedural record, the conversation can start with evidence.
Root Cause Analysis
Start RCAs from the actual case record, not scattered recollection.
Morbidity and Mortality
Give teams a shared, de-identified view of the moments that matter.
Quality Council
Bring objective procedural evidence into recurring quality governance.
Service-line initiatives
Track local priorities and recurring patterns across procedures, rooms, and teams.
Audits
Review workflows without in-room observers who change behavior and skew the data you’re trying to capture.
Research
Create structured, searchable procedural records for approved research and learning initiatives.
Who It’s For
01
02
03
The Platform Advantage
Every procedure creates intelligence that should make the whole system better. Start with the problem in front of you. Scale into the platform behind it.
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Operational Efficiency
Run the day from reality.
Coordinate rooms, cases, and handoffs from what is actually happening — not stale schedules, manual updates, or disconnected systems.
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Surgical Education
Turn real cases into a learning system.
Support review, coaching, standardization, and continuous improvement from the work as it actually happened.
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Compliance
Make readiness part of the workflow.
Support evidence, documentation, governance, and accountability without creating another silo for teams to maintain.
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Trauma Video Review
Go to the tape. Improve the system.
Capture resuscitations with synchronized video, audio, vitals, and EHR context — then review as a team to find the delays and decisions that change outcomes.
Build a continuously learning health system.
Empower your teams to see clearly, act confidently, and drive measurable gains in safety and quality.
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