REV O2
Beyond incremental improvements — five entirely novel categories of safety technology
Experience ARTIFEX in action with our high-fidelity training environment simulation at full operational load.
Traditional crisis training methodologies are constrained by their static nature and inability to model complex human-system interactions under stress
Current systems lack real-time predictive insights into communication breakdown precursors, missing critical intervention windows.
Valuable crisis protocols remain isolated in their industries without a generalized translation framework.
Training fails to adjust to an individual's evolving cognitive load or stress responses, leading to suboptimal development.
Conventional simulations suffer from engagement fatigue due to lack of dynamic incentivization.
We are introducing five distinct, yet integrated, categories of safety technology. Each module is engineered for modularity, scalability, and high-fidelity data processing to create a comprehensive and adaptive training ecosystem.
EXPLORE THE FIVE FRONTIERSLast 30 days
Across all scenarios
Each breakthrough component works in concert to create a transformative training experience
Real-time predictive pipeline for communication breakdown detection with 30-90 second lead time for intervention.
ZCR, RMS energy, F0 estimation, pause detection
Gemini 2.0 Flash for contextual analysis of linguistic patterns
"Uh... can you... I think we might need to..."
⏱ 12s elapsed | 73% confidence | stress markers: 3
RECOMMENDED INTERVENTION
Prompt for role clarification & protocol reset
Core Components
pyaudio, numpy, Google Cloud STT, Gemini 2.0
Prediction Window
30-90 seconds lead time @ 85% accuracy
Latency
≤200ms end-to-end processing
Interventions
12 standardized protocols with dynamic adaptation
Cross-industry protocol AI translator that intelligently adapts successful crisis communication strategies between domains.
"Confirm epinephrine dose of 1mg IV push"
"Confirm flap setting to 20 degrees"
MEDICAL PROTOCOL INPUT
"Team leader clearly delegates medication administration with dosage verification"
AVIATION PROTOCOL OUTPUT
"Pilot flying delegates checklist execution to pilot monitoring with explicit confirmation"
Translation Model
Claude 3.5 Sonnet via anthropic API
Source Analysis
Hugging Face Transformers (BERT, NER)
Validation
Continuous internal validation loop
Knowledge Growth
Translation memory for meta-learning
Multi-modal biometric-communication correlation engine providing real-time insights into cognitive load and stress.
FATIGUE
STRESS
GAZE STAB.
HR VARI.
Elevated stress markers (55%) correlate with declining communication effectiveness (-22% last 90s).
Data Sources
WebRTC, OpenCV, MediaPipe FaceMesh/Pose
Biometrics
EAR, rPPG, gaze tracking, posture analysis
Correlation
RandomForestRegressor, Ridge models
Latency
≤150ms processing pipeline
Gamified crisis training platform with dynamic scenario generation and real-time performance feedback.
Perfect communication during 3 consecutive scenarios
2/3 completed
Maintain composure during 5 stress level 4+ events
1/5 completed
Scenario Generator
IntelligentScenarioGenerator with 47 parameters
Gamification
XP, levels, 89 achievements, leaderboards
Feedback
Real-time visual/audio cues & reinforcement
Adaptation
Biometric-driven challenge progression
Advanced MSFS integration for immersive crisis scenario execution with real-time adaptive difficulty.
EMERGENCY TYPE
Fuel Leak
FAILURE MODE
Gradual Degradation
COMPLEXITY
Tier 3/5
TRAINEE STATE
STRESS LEVEL 3
ADAPTATION
Reducing scenario complexity
SIM CONNECT
ADAPTIVE LOOP
Integration
simconnect library with 178 controls
Emergencies
12 primary types, 3 failure modes each
Adaptation
Biometric-driven scenario modulation
Latency
≤100ms injection delay
Zero-cost deployment through strategic use of open-source and free-tier technologies
Progressive Web App with React + TypeScript for responsive, platform-agnostic UI accessible across devices.
Python FastAPI for high-performance asynchronous API endpoints with WebSocket communication.
Gemini 2.0 Flash & Claude 3.5 Sonnet for complex pattern recognition supplemented by Hugging Face Transformers.
Microsoft Flight Simulator integrated as core simulation environment via Xbox Game Pass.
A phased development approach ensuring foundational, high-value components are established first
Initial focus due to immediate safety impact and novel approach to real-time human performance monitoring
Key differentiator providing unique physiological and behavioral insights into performance under stress
Essential for practical application and realistic training environment for predictive capabilities
Drives sustained engagement and learning retention through intrinsically motivating experience
Long-term feature building a generalized framework for crisis intelligence across industries
This framework represents not merely an advancement in existing safety systems, but the genesis of five entirely new categories of safety technology.