Immersive VR training

Train for any scenario built your way.

Immersive VR modules across healthcare, soft skills and health & safety. Run them out of the box, or fully customise to fit your learners, your environments and your outcomes.

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Immersive VR training environment modelled on a GP consultation room Nurse wearing a Meta Quest 3 headset during an immersive training session
Pre-made templates Detailed scenario creation VR, Web & Immersive Walls

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A growing library, ready to deploy.

Every Imersifi module is a production ready starting point with endless configuration options, so educators and organisations can shape a training experience that is truly their own.

AI, Healthcare

AI Patient
Consultation

Adaptive, AI driven patient conversations. Configure conditions, demographics, clinical pathways and assessment criteria. An endless canvas for educators to build consultations that fit their exact curriculum.

Patient seated in a GP clinic during an AI driven patient consultation training scenario Explore module
Safety, Industrial

Fire Extinguisher
Control

Immersive hands on fire response training. Organisations configure fire classes, environments, extinguisher types and failure scenarios. Endless combinations to mirror the exact risks on your sites.

Trainee practicing fire extinguisher control on a combustible fire inside a warehouse environment Explore module

The library keeps growing.

New base modules are in development, shaped with educators and organisations. If you need something bespoke, our specialists also build custom immersive experiences from small concepts to large projects.

Book a demo Talk about a module

One base module, infinite experiences.

Every module is a foundation. Reshape symptoms, personality, environment and appearance in minutes, without writing a single line of code.

imersifi.app/modules/ai-patient-consultation/configure
Environment Imersifi GP Environment Imersifi Home Environment Imersifi Dentist Environment
Patient Old Female 01 1 Young Female 03 1 Child Male 01 1 MiddleAged Female 02 1 MiddleAged Male 06 1 Old Male 04 1
Backstory* Set the scene for the consultation
54-year-old retail manager. Smoker (20/day, 30 years), lives alone since divorce. Father died of MI at 58. Symptoms started at work 3 hours ago, dismissed as indigestion. Drove themself to the GP. 254 / 500 characters
Medical History* Relevant history for the patient
Hypertension (diagnosed 2019, poorly controlled). Type 2 diabetes. No previous cardiac events. Family history of coronary artery disease. Currently on metformin and ramipril. 186 / 500 characters
Current Symptoms* Symptoms the patient is experiencing
Central chest tightness (radiating to left arm, 7/10). Shortness of breath on minimal exertion. Nausea. Symptoms partially relieved at rest but persistent. Reluctant to describe pain in full — minimises severity when directly asked. 241 / 500 characters

Training you step into, not sit through.

Playable on
Web Virtual Reality Immersive walls

Every session measured, understood, improved.

The Imersifi platform turns each VR training session into a rich, structured record. AI generated feedback, live performance metrics, and objective tracking, all ready for review in the dashboard.

Intelligent Summary AI Generated

Session analysis Live

The learner opened the consultation well, confirming patient identity and establishing a clear baseline. Antimicrobial stewardship was handled with confidence, though empathy and safety netting remain the priority areas for next session.
Confirmed identity and date of birth at the start, setting a professional tone.
Explained antimicrobial stewardship when declining unnecessary antibiotics.
De escalate with empathy when a patient expresses frustration, rather than ending the conversation.
Close with safety netting and clear self care guidance before ending the session.
Empathy Score
Attentiveness
Learning Objectives 3 of 4 met
  • Structured clinical assessment of upper respiratory symptoms 2 / 2
  • Antimicrobial stewardship and clinical reasoning 2 / 2
  • Managing challenging behaviour with empathy 1 / 2
  • Safety netting and management plan 0 / 2
Patient sat in the GP clinic holding her stomach during a consultation
Practice 0:00 / 7:02

Chapters

  • 01 Practice Consultation Experience 0:27
  • 02 Establish symptom history using structured questioning Objective 1:22
  • 03 Acknowledge frustration Objective 1:22
  • 04 Screen for red flag symptoms Objective 2:11
  • 05 Provide clear rationale for not supplying antibiotics Objective 2:11
  • 06 Explain likely viral nature of symptoms Objective 3:52
Steve Brown Trainer 2 days ago
Great job confirming the patient’s identity and setting a professional tone at the start. That’s a habit worth holding on to.
Steve Brown Trainer 2 days ago
Around the 3:40 mark the patient gets visibly frustrated and you move straight to closing the consultation. Have a think about what an empathic acknowledgement would sound like here, even a single sentence changes the dynamic.
Victoria Andrews Learner 1 day ago
Thanks Steve, that’s a fair point. I’ll rerun the scenario this week and try out a couple of de escalation phrases before jumping to the plan.
Sam Morris 6 hours ago
The antimicrobial stewardship explanation around the two minute mark was really clear, I might borrow that phrasing for my own session next week.

Eliminate the guesswork. Prove the return.

Every session on the Imersifi platform is measured, recorded, and audit ready. Training managers see progress across the whole organisation, educators see where individual learners thrive and where they struggle, and leadership sees the numbers that justify the investment.

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AI Patient Consultation

Some patients arrive angry. Meet them before it is real.

Learners step into VR and simply talk. Virtual patients are AI driven, so there are no rigid scripts and no pre set pathways; just natural language and natural response.

  • Unscripted conversation
  • Configurable scenarios
  • Your marking criteria
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An agitated man raising his voice at a pharmacy counter during a consultation

Patient Forty minutes I have waited, and now you tell me it is not ready?