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ngnsimulation is now in active pilots with Alberta nursing & HCA programs.Request a pilot
Evidence-based AI for healthcare education
Built by a registered nurse and an AI engineer — the clinical judgment and the engine come from the same team.
One AI simulation engine spans 57 allied-health and nursing roles across 64 jurisdictions, so a single deployment covers a whole division — not just one program. Five role-specific products, including NCLEX IT and CareAide, run on the same platform. Built and owned end-to-end, in-house.
The flagship
Every profession resolves to its correct local title, regulator, and credential, so one deployment can support a whole health sciences division — whatever roles or rules it requires.
Role-specific entry points
NCLEX IT, Lumina AI, CareAide, NOTCE AI-Tutor, and the MyLMS AI engine — each purpose-built for a single credential, all powered by the same platform behind Allied Health Sciences.
Built around the frameworks that matter
The thesis
We build the complete stack for healthcare education, from the learner's screen to the clinical-judgment algorithms beneath it.
Health programs aren't capped by applicants — they're capped by clinical placements, preceptors, and lab hours. Simulation is how a division raises that ceiling without adding seats it can't staff.
One engine covers 57 roles across a health sciences division, so the unit of sale is the division, not a single program. We build the full stack — UI, API, and algorithms — rather than a thin wrapper over someone else's model.
Every product is precision-mapped to real competency blueprints (NGN, CPNRE, HCA) and built on a transparent, evidence-based R&D methodology that reviewers and partners can audit.
Rooted in Alberta's health system and regulatory frameworks, engineered to scale nationally and globally.
The difference
Anyone can wrap a chatbot. Owning the UI, API, and algorithms is what makes accuracy, customization, and trust possible.
Experience the engine
Answer a sample question and watch the engine coach the reasoning — recognize cues, analyze, act. This is our proprietary algorithm, not a wrapper.
Clinical scenario
A 68-year-old client is admitted with new-onset shortness of breath. Vitals: HR 118 and irregular, BP 98/60, RR 24, SpO₂ 90% on room air. The client reports chest tightness and feels 'like my heart is racing.'
Illustrative sample for demonstration — not official exam content. The full, SME-reviewed item bank lives inside the products.
Why now
A workforce shortage, a licensure model built around clinical judgment, and AI mature enough to teach it, all arriving at once.
Sustained shortages across nursing and allied health roles.
The Next-Gen NCLEX re-centered licensure on clinical judgment.
The unit of sale is the health sciences division, not a single program.
Titles, regulators, and credentials re-mapped per province and state.
Figures are illustrative pending sourced citations.
Who we serve
Built B2B-first, with a direct route for every audience — from individual candidates to the institutions and partners that scale them.
In their words
“The clinical-judgment coaching is what set it apart — it explained the reasoning, not just the answer. I walked into the NGN actually understanding how to think through a case.”
FAQ
Whether you're a learner, an institution, an investor, or a research partner, there is a path here for you.
