What Flight Simulators Did for Pilots, We’re Doing for Clinicians
We’re building the next generation of trauma-ready therapists through adaptive AI that ensures real competence, confidence, and clinical readiness before they ever see a patient.
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Google Docs

8P3P Readiness and Risk Mitigation Memo

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🧩 Mission & Vision
What's the mission of 8P3P?
To transform mental health training from a slow, expensive, in-person process into a scalable, clinically validated AI platform that expands the trauma-clinician workforce 4× faster at 1/10th the cost.
What's your long-term vision?
To ensure every trauma survivor, veteran, and family can instantly access a skilled clinician by making readiness training universally available through adaptive AI across desktop, mobile, and VR platforms.
💡 The Problem
Market Gap
Only 15,000 EMDR-certified clinicians for 122 million trauma survivors in the U.S.
Training Barriers
Certification takes 6–12 months, costs $3K+, and leaves many clinicians underprepared
Global Impact
Long waitlists and a $16T global mental-health burden
Why hasn't this been solved before?
Training systems were designed for small classrooms, not scalable, validated, adaptive simulations. We're bringing simulation-based mastery learning and AI to mental health education for the first time.
🧠 How does 8P3P solve this?
01
Short-cycle certifications
AI micro-lessons + AI-coached simulations
02
Adaptive AI Patient
Responds in 100 ms (mimic human behavior) using gaze, tone, and body cues
03
Competency-based progression
Clinicians must prove mastery before advancing
04
Desktop/Mobile First, VR-Ready
CE-integrated for lifelong learning

Why is your approach defensible?
Our provisional patent (#63/827,671) protects the EEAP micro-stack, real-time adaptive dialogue, multimodal cue recognition, and TRG reasoning layer. IRB validation provides regulatory defensibility and institutional trust.
How It Works (Clinician Flow)
Video 1. Provides a demonstration of our internal back-end system showing how our team implements new courses and includes a preview of the AI curriculum trainer, highlighting its appearance and voice.
Video 2. Showcases our user experience, including the secure login process, a dashboard for tracking progress and milestones, streamlined module selection, and the dedicated space where the Interactive AI Instructor (introduced in Video 1) is integrated and accessible.
Image 1. A Custom LMS with an Interactive AI Instructor built right in. Our platform transforms passive video courses into adaptive, guided training where every learner gets real-time feedback, coaching, and measurable progress. Faster, smarter, and more engaging built desktop/mobile-first and XR-ready.
Video 3. What you’re seeing is one of our AI Instructor built right in our custom LMS. The platform turns passive video courses into adaptive, guided learning where every learner gets real-time coaching, instant feedback, and measurable progress. Far more engaging than traditional e-learning.

Google Docs

Rough Draft of Simulator AI Patient

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Video 3. Is a sneak peek, rough draft (v1) of one of our Ever-Evolving AI avatars, built on our patent-pending system. This avatar will be used in the Simulator to conduct lifelike therapy sessions a first in any industry to combine psychological body cues, AI, voice inflection, and 100ms latency for truly realistic interactions.
1
Login & Dashboard
Track progress & milestones through your personalized training journey.
2
Select Module
Choose from modules with clear time estimates to fit your schedule.
3
Interactive Instruction
Engage with concise lessons and knowledge checks to build foundation.
4
Practice in Simulation
Apply skills with Ever-Evolving AI Patient role-play scenarios.
5
Real-Time Feedback
Receive guidance on pacing, eye-movement cues, and empathy markers.
6
Performance Summary
Review strengths, growth areas, and recommended refreshers.
7
Continuous Progress
Unlock next modules as you demonstrate mastery of concepts.
Supports CE requirements (20 Hours Typical; Puerto Rico 40 hours)
⚙️ Technology & Architecture
Built on AWS Bedrock for scalable LLM orchestration, Aurora PostgreSQL with pgvector for competency mapping, and Unity XR for photorealistic avatars and many more.
EEAP
Sub-100 ms adaptive AI patient
TRG
Neuro-symbolic reasoning ensuring protocol fidelity
Multimodal Input
Voice, gaze, gestures analyzed in real time
Desktop/Mobile First, VR-ready
Runs on laptops or mobile and scalable to Quest 3 tomorrow
HIPAA/FedRAMP Alignment
Ready for DoD/VA procurement (Only when needed)
What's the moat?
IRB datasets, proprietary AI stacks, sub-100 ms latency, and embedded clinical fidelity protocols.
🧪 Clinical Validation Model (IRB)
IRB study with Marshall University:
Study Details
  • 100 participants (50 trainees + 50 clinicians)
  • OSCE & CASES assessments at baseline, 4 weeks, 12 weeks, 9 months
  • 8 hypotheses measuring competence, fidelity, cost-effectiveness, retention, and pipeline acceleration
What's the expected outcome?
Non-inferiority to traditional training (0.3 SD), 4× faster readiness, and credential-ready, auditable proof for hospitals and DoD.
Why is an IRB Important?
We don’t actually have to conduct an IRB. Most training or AI startups never do but if we want to be different, the first, and ultimately the gold standard, then we need to run a formal IRB study and hold ourselves to the same strict standards as clinical research institutions. It’s how we force change for the better in how clinicians are trained and certified.
Note: There is no such thing as ‘failing’ an IRB study. The process is iterative. It allows us to continuously tweak and strengthen our system to ensure it’s fully clinically grounded and aligned with real-world therapist performance. Each evaluation cycle helps refine our adaptive AI and improve training outcomes.
Publishing Results
While our peer-reviewed papers are under journal review, we’ll publish the results as preprints on academic platforms like TechRxiv or medRxiv. That allows us to claim scientific priority, share early findings transparently, and let reviewers and partners cite our work even before final publication.
Once peer review is complete, those preprints convert into full journal publications giving us both speed and credibility: speed through early dissemination, and credibility through formal academic validation. It’s the same playbook leading healthtech companies use to establish authority early while waiting for peer review to finalize.
Why Now / Timing
We’re at a breaking point in mental health. The U.S. faces a record shortage of trauma-trained clinicians while demand for trauma care has never been higher. Federal and state agencies are now prioritizing workforce expansion, competency-based training, and measurable outcomes over legacy certification models.
Institutions are under pressure to prove clinical readiness and demonstrate faster, scalable training pipelines. At the same time, clinicians are demanding flexible, remote, and affordable ways to upskill without leaving their practice.