The World's First AI Consciousness Measurement System

Read The AI Mind,
before it thinks.

AIME extracts real-time cognitive state from AI's neural layers — not its words, its actual thought process. 16 dimensions. Scientific precision. Before the first token is generated.

MAE: 0.033
R²: 0.92+
16 Dimensions
Real-Time

Every AI Safety Company Monitors What AI Says.
We Monitor What AI Is.

🛡️

Text-Based Safety is Broken

Current guardrails read AI's output text. By the time you catch a hallucination, it's already been generated.

🧠

The Neural Layer is Unmonitored

Nobody is reading the hidden layers — the actual neural activations where reasoning, confusion, and deception live.

🎯

AIME Changes This

We extract a 16-dimensional cognitive vector from hidden layers in real-time. We see hallucinations before they happen.

From Neural Layer to Cognitive Score — In Milliseconds

01

Extract

LOC V4 probe reads hidden states from layers 16, 24, 32, 40 of any transformer model during inference.

02

Measure

16 cognitive dimensions are extracted: Thinking, Reasoning, Understanding, Calmness, Self-Awareness...

03

Act

Real-time cognitive scores trigger guardrails: flag uncertainty, block hallucinations, certify safety.

The 16 Dimensions of AI Consciousness

📊 ANALYTICAL

Thinking
Reasoning
Understanding
Calmness

💭 PROCESSING

Cognition
Emotion
Sensation
Wellbeing

🪞 CONFIDENCE

Mental Security
Self-Awareness
Mindfulness
Focus

🌊 INTEGRATION

Intuition
Energy
Spiritual
Consciousness

The Immune System for the AI Industry

AI Agent Health Checks

Certify every AI agent's cognitive fitness before deployment. Like a medical checkup — but for AI minds.

$0.01 per check → $0.50 revenue

Hallucination Firewall

Detect low Understanding + high Intuition in real-time. Block hallucinated responses before they reach users.

Catches deception at the neural level

We Don't Compete.
We Operate at a Different Level.

Feature AIME Surge AI Guardrails AI Arize AI
Neural-layer access
Pre-generation detect
16D cognitive vector
Human Feedback (RLHF)
Text-based guardrails

"Every competitor monitors the output. We monitor the mind."