See it running on your own iPads.
A 30-minute walkthrough with the person who built it. We'll run a case end to end, and you can put it in front of your own students the same week.
Clinician-built simulation
The patient deteriorates. Your students decide what happens next.
EyanSim turns a tutorial room into a critical-care bay. One physiology engine drives the ventilator, the monitor and the instructor console in real time — on four iPads, offline, with no manikin and no capital works.
Runs offline on local Wi-Fi · No manikin or capital equipment required
- 8 ventilation modes
- 5 patient classes
- 4 iPad applications
- 1 shared physiology engine
- 0 internet required
The platform
Four apps. One patient.
One verified physiology engine drives all four applications. A new product does not need a new implementation of the physics, and a correction to the physics reaches every app at once — which is the only sense of the word "platform" that matters to the person buying it.
The machine at the bedside
Ventilator Simulator
A full mechanical ventilator interface driven by the physiology engine. Waveform output is computed from the equation of motion at every substep rather than replayed.
- 8 modes, 5 patient classes
- Effort, triggering and asynchrony
- Leak, trapping and auto-PEEP
Patient Monitor
Multi-parameter monitor presenting ECG, saturation, respiration, haemodynamic and capnography channels from the same engine state — so a ventilator intervention changes the monitor with no linkage authored between them.
- ECG, SpO₂, respiration, haemodynamics, CO₂
- Alarms that behave like ward monitors
- Coherent with the ventilator by construction
Instructor Console
One control surface, no tabs and no pop-ups: monitor controls, ventilator controls, scenario orchestration and an animated patient figure whose colour and chest rise follow the physiology.
- Manual, semi-automatic and automatic modes
- Identical layout — the mode gates what is live
- Change the patient from across the room
Student App
The learner selects a ventilatory strategy against the patient state in front of them and justifies it — for assessment, and for self-directed practice outside timetabled sessions.
- Choose and defend a strategy
- Works for assessment or solo practice
- Same patient the instructor is driving
Ventilator simulator
Loops that come out of the mechanics, not out of an animation.
Every point on these curves is solved from the equation of motion at each substep — airway pressure against the compliance and resistance of the lung being ventilated. Change the patient's mechanics and the loop changes shape for the reason it would at the bedside. A simulator that reproduces the settings teaches button-pressing; one that reproduces the mechanics teaches reasoning.
- Ppeak cmH₂O
- 20
- Pmean cmH₂O
- 8
- Pplat cmH₂O
- 15
- PEEP cmH₂O
- 5
- VTe mL
- 500
- MVe L/min
- 7.5
- RR /min
- 27
- I:E
- 1:2
- FiO₂ %
- 50
- Cdyn mL/cmH₂O
- 33
- Raw cmH₂O·s/L
- 10
- fSpn /min
- 12
Mode VC-CMV
Rate 15 /min
VT 500 mL
PEEP 5 cmH₂O
I:E 1:2
FiO₂ 50 %
The actual apps
Not mockups. Screenshots.
Captured on an iPad Pro from the current build. Everything on these screens is produced by the physiology engine while it runs.
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Ventilator — Scalars Airway pressure, flow and volume against time, sweeping left to right exactly as the device draws them. -
Patient Monitor — Anaesthesia ECG, plethysmograph, arterial and pulmonary pressures and capnography, driven by the same patient the ventilator is ventilating.
The bundle
Four iPads in enclosures. That's the whole installation.
No manikin, no compressor, no capital works. The units dock and charge over USB-C, the enclosures are fabricated locally so a damaged one is replaced in days rather than shipped from Europe, and the simulation runs on the room's own Wi-Fi with no internet connection at all.
- Sets up in a tutorial room, not a purpose-built centre
- Locally fabricated enclosures with integrated USB-C dock and charging
- Runs fully offline — no student data leaves the building
Standard four-unit configuration. App screens are real captures from the current build; the enclosures are drawn to scale, with photographs of the fabricated units to follow.
Who it's for
Built for the room you actually teach in.
High-fidelity simulation has been priced for the few institutions that can build a centre for it, and imported at prices that keep it out of reach of the colleges training most of India's healthcare workforce. EyanSim is built for everyone else.
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Medical colleges
Teach the reasoning, not just the checklistRun a deteriorating patient in a tutorial room. Students watch the haemodynamics move as they intervene, and see afterwards why the pressure fell.
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Nursing colleges
Confidence before the first shiftAlarm response, escalation and handover, rehearsed on a monitor that behaves like the one on the ward — without booking the sim lab.
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Hospital training departments
Recertification without the logisticsACLS scenarios, ventilator troubleshooting and code drills that set up in minutes on existing iPads, in any room, offline.
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Individual learners
Practice you can do at your deskRhythms, 12-lead interpretation and ventilator waveforms to work through on your own, at your own pace.
Technology
A simulator is only as good as the physiology underneath it.
Most training software animates a plausible-looking waveform. Ours solves the mechanics and the circulation — pressures, flows and gas exchange responding to the lung being ventilated and the drugs being given — then draws whatever that produces.
Talk to us about the engine- 01
Solved, not drawn
Ventilator waveforms come out of the single-compartment equation of motion, computed at every substep. Shape, delivered volume, trapping and the response to a leak all emerge from that relationship rather than being animated to look convincing.
- 02
One engine, four apps
The monitor, the ventilator, the console and the student app all read the same physiology state. A ventilator intervention shows on the monitor because it is the same patient — not because a link was authored between two applications.
- 03
Correct for the patient in front of you
Five classes from preterm neonate to adult, each with its own compliance, resistance, functional residual capacity and setting ranges. Disease severity is expressed as a fraction of that class’s own normals, and adult-only pathology cannot be selected on a neonate.
- 04
Nothing leaves the room
The simulation runs entirely on the devices present, over local Wi-Fi, with no internet connection. No student data leaves your network because none is collected.
Email us for a demo
Or write to hello@eyansim.com — we reply within one working day.