AI platform for automated performance analysis in clinical training
Expert-level feedback.
Every practice.
Anywhere.
DeepBrief gives every trainee expert-level feedback on every practice — and gives the institution, for the first time, a clear picture of who is ready and what to teach next.
Built by physicians.
Partner institutions
Your standard, loaded in first
Your protocols, station scripts, rubrics and performance criteria are loaded into the system before anything is recorded. The system measures against your standard — not a generic one.
1Capture
A trainee, an instructor or a full team records the session — in a simulation centre, a skills lab, a classroom, a department, or at home. Any browser. The audio and video sources you already use.
2Analyze
Speech and action are transcribed, attributed to roles, and placed on a single verified timeline. Each criterion is scored against your rubric, with a reference to the exact moment it was met, partly met or omitted.
3Improve
The participants receive a structured performance analysis within minutes. The institution receives the same material as accumulating data — by cohort, by station, by criterion.
If it has a standard, it can be measured.
DeepBrief does not assume one kind of session. It reads whatever format your standard was written for.
High-fidelity team simulation
Resuscitation, trauma, neonatal, obstetric and paediatric emergencies. Speech is attributed to roles — team leader, team members, patient — and commands, confirmations and clinical actions are timestamped. Each item of the protocol, whether ACLS, NRP or your own version of it, is scored as complete, partial or omitted with a reference to the moment it happened. The result is one agreed account of the scenario, so the analysis starts from what happened rather than from what anyone remembers.
OSCE and structured stations
The same rubric applied identically at every station, in every room, on every day of the cycle. Each encounter is scored against the checklist the department wrote, item by item. Station-level reporting also shows whether the station itself ran as defined — whether the required information was delivered, whether the scenario was diverted. Used to prepare candidates, and alongside examiners as a second opinion; never as the sole examiner.
Communication skills
History taking, patient education, breaking bad news, informed consent, shift handover, case presentation. This is where the platform is strongest: two people talking in a quiet room is the clearest signal it receives, and accuracy is highest there. These sessions need a microphone and nothing else, which means they can run in a classroom, in a corridor, or between two trainees with no room booked at all.
Procedural and physical examination
Which actions were performed, in what order, and what was omitted, against the sequence your rubric defines. This is video-driven and it is the harder problem — accuracy is lower here than in conversation-based work, and we report it as it stands rather than as we intend it.
Build better clinicians.
The limit on clinical training has never been the willingness to practice. It is that every practice needs someone qualified watching it, remembering it, and saying something useful afterwards. That expert is finite — so practice gets rationed, and the feedback that does happen depends on who was in the room and how late in the day it was.
DeepBrief removes the rationing. A student, a resident, a paramedic or a full team can practice again and receive a structured analysis every time — which is what deliberate practice has always required and clinical training has never been able to supply.
More practice, without more expert hours.
Cohorts and caseloads grow; senior clinicians and instructors do not. They are not replaced — their time is spent where only they add value: the nuance, the judgment, the conversation.
A picture across sessions, for the first time.
Not an impression of how a cohort, a course or a department is doing, but which criteria are being missed, by whom, and over what period.
One consistent standard.
The same criteria, applied the same way, to every trainee, by every instructor, at every hour of a long training day.
Built for institutions that teach, certify and train.
Medical and nursing faculties
A faculty is the only place with a long relationship with the learner — years, not a course — and the only place where progress is worth tracking as a curve rather than a result. Cohorts grow while instructor numbers stay flat, which is why practice gets rationed first.
Every student gets a structured analysis of every practice, including practice done outside the faculty. Every head of course gets the cohort picture: which criteria are being missed, by whom, and what to teach next. Candidates arrive at the exam prepared, and examiners spend their time on what only they can do.
For faculties →EMS and paramedic academies
A body that certifies people is a school, and it trains at a scale most faculties do not reach. Sessions run in vehicles, in the field and in classrooms rather than in a fixed room, which makes anything that depends on installed infrastructure unusable.
Trainees record their own sessions on a device they already carry and receive an analysis against the national protocol. The academy gets course-wide and cohort-wide reporting from material it never had before.
For EMS academies →Simulation centres
The scarce resource in a simulation centre is not rooms — it is the instructor who has to run the scenario, tag events while it happens, then lead a good analysis afterwards under time pressure. Quality falls across a long day, and no two instructors deliver the same session.
DeepBrief produces the analysis itself, so the instructor arrives at the conversation with the timeline already built and their attention free. It requires no change to the AV you already run and no integration project.
For simulation centres →Hospital departments
Practice in a department competes directly with clinical work, so it happens in short cases at the bedside rather than in scheduled sessions, and it is almost never reviewed afterwards. Expertise is available for minutes at a time, and residents rotate out before anyone has formed a view of them.
Short cases run where the work happens and are analyzed against the department's own protocols. Performance is tracked across a rotation instead of recalled at the end of it.
For departments →Research first, product second.
Automated Versus Instructor Checklist Scoring in Emergency Medicine Simulation: A Prospective Agreement Study
Podium presentation, ACEP 2026, Chicago.
Automated Detection of Missed Checklist Actions in Emergency Medicine Simulation
IMSH 2027, New Orleans.
See it run on your own standard.
A short session on your own material — your rubric, one of your stations, your protocol — analyzed in front of you.
A faculty, an academy, a simulation centre, a department. If you are the person who would bring this in, this is the right form.
Thank you — we will be in touch.
A member of the founding team will reply personally.