Precision Learning for Safer Clinical Decisions



We are building a holistic multi-agent AI simulation platform* to bring triage content to life.

Your team will experience:

*approved by health professionals, powered by Generative AI

A library of realistic scenarios designed to train and assess you for effective triage in emergency unit 

Sarah, a 40-year-old patient, has been undergoing chemotherapy and targeted therapies for advanced breast cancer.

👥 Emergency team involved:

Dr. Chen - Oncologist

Dr. Atwood - Palliative Care Specialist

Nurse Jordan - Oncology Nurse
You - Communication Coach

🎯 Objectives:

🕒 Time: 5 minutes

Man disoriented from an accident, heavy breathing


👥 Emergency team involved:

Francesco - emergency nurse
Dr Ghandi - Consultant
Alia M. - Registrar
You - Triage nurse


🎯 Objectives:

🕒 Time: 5 minutes

Car accident, head injury and hurt leg, allergic to certain medicine



👥 Emergency team involved:

Dr Robski - Neurosurgeon
Dr Ghandi - Consultant
Alex D. - Registrar
You - Orthopedic Surgeon
Nela - AI risk app (co-pilot)

🎯 Objectives:

🕒 Time: 5 minutes

A 6-year-old with worsening shortness of breath and a panicked caregiver arrives in the ED. The child is wheezing, retracting, and appears cyanotic.

👥 Emergency team involved:

Francesco - Pediatric nurse
Dr Ghandi - pediatric Registrar
Dr Bernard - respiratory therapist
Alia - resident
You - as the pediatric emergency specialist

🎯 Objectives:

🕒 Time: 5 minutes

Jordan, arrives at the ED accompanied by a friend. Jordan has been experiencing severe depression, expressing a desire to end their life. 

👥 Emergency team involved:

Rachel: ED Triage Nurse

Dr. Nguyen: Psychiatrist on-call

Samuel: Social Worker

Security Officer: For safety if needed
You: Mental Health Triage Specialist

🎯 Objectives:

🕒 Time: 5 minutes

Busy night in ED, woman hand bleeding, losing blood
voice_francesco.mp3

👥 Emergency team involved:

Francesco - emergency nurse
Dr Ghandi - Consultant
Alia M. - Registrar
You - trauma specialist

🎯 Objectives:

🕒 Time: 5 minutes

Code Orange - A major train accident has occurred at Crewe Station. Emergency services are already on-site and the first wave of patients is en route to your hospital. Approximately 50-70 patients are expected, with injuries ranging from minor cuts and fractures to severe trauma such as head injuries, spinal injuries, and crush injuries.

👥 Emergency team involved:

Francesco - Pediatric nurse
Dr Ghandi - pediatric Registrar
Dr Bernard - respiratory therapist
Alia - resident
You - trauma specialist

🎯 Objectives:

🕒 Time: 7 minutes

Code Blue - The patient in the Oncology Unit of the Cancer Centre is a 63-year-old male undergoing chemotherapy for advanced lung cancer. The patient’s heart has stopped, and a full resuscitation effort is underway.

👥 Emergency team involved:

You - Team Lead (Internal Medicine Resident)

Francesco - Emergency Nurse 

Alia - Internal Medicine Resident

Dr Ghandi - Respiratory Specialist 

Alex - ICU Nurse 


🎯 Objectives:

🕒 Time: 3 minutes

A Comprehensive Dashboard for Actionable Insights and Performance Enhancement

Partners that are helping us ensure our training is effective and safe

Partners

Recognition

AI Agentic Global Challenge

Empower the next generation of professionals by designing engaging training and assessment scenarios! 


If you're a triage health professional or trainer, we’d love to collaborate with you.