PRAXIS
Transforms clinical policies and standard operating procedures into structured competency maps that downstream agents can build against.
AIWIZN · The Wisdom Engine
AIWIZN is an AI-driven nursing education and competency mastery platform that replaces outdated onboarding with immersive, scenario-driven learning — measurably reducing clinical errors, turnover, and time-to-competency across a nurse's entire career lifecycle.
The Problem
Inadequate onboarding is cited in 35% of first-year nurse departures — yet most hospitals still rely on slide decks, shadowing, and annual compliance modules. The nursing workforce crisis is not a supply problem.
It is a retention and competency development problem — and no platform has meaningfully addressed it with the rigour the profession demands.
The Solution
Every design decision is evidence-anchored. Each stage feeds the next and the next refines the first.
Clinical policies transformed into rich, animated scenario introductions. No slide decks. Narrative-first, evidence-grounded.
SOP → Scenario
Dynamic patient state machine. Goldilocks difficulty calibration. Fail-forward mechanics — the patient deteriorates on wrong choices. Rescue required.
Simulate & Fail Safely
No explicit testing. Competency inferred invisibly from every simulation action via Bayesian knowledge networks — the gold standard in psychometric science.
Stealth Intelligence
Instant formative feedback. Spaced repetition scheduling. Expert nurse performance back-harvested to seed better scenarios. The system gets smarter with every nurse it trains.
Reinforce & Advance
The Platform
Each agent owns a distinct stage of the competency lifecycle — policy authoring, narrative generation, simulation, stealth assessment, formative coaching, and lifecycle orchestration.
Transforms clinical policies and standard operating procedures into structured competency maps that downstream agents can build against.
Generates rich, evidence-grounded scenario introductions — narrative-first, not a slide deck.
Renders animated clinical procedures and patient states so learners see — not just read — the situation they are walking into.
Dynamic patient state machine. Goldilocks difficulty calibration. Fail-forward mechanics — the patient deteriorates on wrong choices and rescue is required.
Tunes scenario complexity to the learner's current proficiency band — not too easy, not impossibly hard.
No explicit testing. Competency is inferred invisibly from every simulation action via Bayesian knowledge networks — the gold standard in psychometric science.
Synthesises a Benner-stage proficiency profile after each session — Novice, Advanced Beginner, Competent, Proficient, Expert.
Real-time competency analytics for unit leaders, educators, and chief nursing officers.
Instant, evidence-anchored coaching that targets the specific gaps detected in the previous scene.
Spaces, sequences, and back-harvests expert performance to seed better scenarios — the system gets smarter with every nurse it trains.
Research Foundation · 21 Years
AIWIZN evolves from Aten Inc.'s 21-year portfolio of adaptive, scenario-driven training systems — anchored in research-proven pedagogy and serious-game best practices. The same engine that taught pilots, manufacturers, and clinicians now teaches nurses.

Clinical · NBME-recognised
Bedside clinical scenarios

Aviation · Adaptive
Cockpit decision training

Industry · Immersive
Pharma manufacturing VR

Education · Adaptive
Role-play decision scenarios
Recognition
Independent industry analyst recognition for serious-game design.
Selected from a global field for clinical-assessment innovation.
Recognised by the CEO for excellence in enterprise innovation.
Awarded for adaptive, data-driven learning methodology.
Recognised for evidence-anchored learning design.
Aten methodology
AIWIZN's flywheel is the clinical implementation of Aten's research-proven adaptive learning loop — the same Cerebrum / Cerebellum / Arete architecture that powered enterprise simulations for Fortune 500s and earned a JP Morgan Chase innovation award under Jamie Dimon. Built on serious-game best practices, validated by NBME, MacArthur, and Gates.

Leadership & Advisors
Credentialed expertise across clinical, academic, and financial domains.
Founder & CEO · AIWIZN / Aten Inc.
Architect of the AIWIZN multi-agentic learning platform and founder of Aten Inc. Serial ed-tech entrepreneur across immersive learning, serious games, and AI-driven training simulations, with research partnerships at NC State, Virginia Tech, and Duke. Founding board member of BEST NC and Research Triangle High School. Leads platform strategy, product vision, and investor relations across the 14-month build roadmap.
LinkedInDeputy Executive Director, Tennessee Population Health Consortium·University of Tennessee School of Health Sciences — School of Medicine
Valid active RN and Advanced Nurse Practitioner licensure. Experienced clinical, operational, and business leader across health-system organisations. Pairs frontline nursing practice with health-economics, analytics, and value-based-care strategy — informing how AIWIZN translates nursing-education frameworks into scalable clinical learning architectures.
LinkedInMedical Director, WakeMed Center for Innovative Learning·WakeMed · Associate Program Director, UNC Emergency Medicine
Longest-serving clinical champion of simulation-based training at WakeMed. Co-developed AIWIZN's clinical validation framework. Engineer-turned-emergency-physician who runs WakeMed's Center for Innovative Learning — a high-fidelity training facility serving thousands of clinicians annually. Guides SIMULUS physiological fidelity and COGNITA clinical validity.
LinkedInManaging Director · Head of Digital Health·EisnerAmper LLC
Healthcare-technology strategist with 25+ years across executive and advisory roles — former CIO at Cincinnati Children's, SVP at Xerox Healthcare, and digital-risk leadership at a Big 4 firm. Adjunct faculty at Harvard School of Public Health, Northeastern, and Suffolk. Advises AIWIZN on responsible AI deployment, clinical validation, and healthcare-technology risk.
LinkedInSurgeon · Division Chief, Minimally Invasive Gynecologic Surgery · Co-Executive Director, FastTraCS·University of North Carolina
UNC surgeon-innovator leading the Division of Minimally Invasive Gynecologic Surgery and co-leading FastTraCS, UNC's clinical-innovation accelerator. Pairs procedural rigour with translational research and device design — informing AIWIZN's PRAXIS and NARRATIVE work on procedural fidelity, clinical-judgement formation, and innovation pathways from bedside insight to validated practice.
LinkedInGet in touch
Hospitals piloting onboarding redesign, schools modernising NCLEX preparation, and patient-aligned investors are invited to request the full data room.