Where Intelligence Meets Its Operator
A five-layer ontological architecture that gives AI real-time perception of the human it serves. Not a feature - a new foundational layer. On-device by default. Privacy by architecture. 1 patent granted, 2 pending.
THIS SOFTWARE IS PROPRIETARY AND CONFIDENTIAL
1 patent granted, 2 pending
© 2026 EmoPulse
Unauthorized copying, cloning, modification, or distribution is strictly prohibited
and may result in legal action. Protected under applicable intellectual property law.
Every AI on Earth - ChatGPT, Claude, Gemini - responds to what you type. None of them know if you're stressed, exhausted, distracted, or about to make a critical error. They operate blind to the most important signal: the human state.
EmoPulse is not a scanner. It is not a sentiment classifier. It is an ontological architecture - a five-layer system that ingests multimodal signals from camera, voice, and text, maps them to a structured human state representation, assesses risk in real time, and constrains AI output accordingly.
"Payments got Stripe. Communications got Twilio. Search got Google. AI cognition got OpenAI. AI perception gets EmoPulse."
On March 5, 2026 - an AI read a human before responding.
Not from a questionnaire. Not from cookies.
From a live biometric stream - through all 5 layers - in real time.
Our own measurements are internal engineering checks, not a third-party evaluation. Accuracy figures in the literature for the underlying rPPG and facial-action methods are those methods' published results, not a benchmark of this system.
The AI adapted its tone, depth, urgency, and pace - all calibrated to the human's real-time state. No rules. No scripts. No guessing.
The EmoPulse Dashboard is a real-time demonstration of Layer 1 - signal extraction from a standard camera. It computes biometric parameters in the browser. As a demo it also sends the computed numbers, never video or audio, to our server so we can analyse and improve the engine. This is not the product. This is the proof that the pipeline is real.
478-point facial landmark system with 52 blendshapes, built on the open-source MediaPipe face model
rPPG heart rate estimation from skin micro-color changes, using published signal-processing methods
Authenticity scoring via Duchenne marker analysis
Predictive emotion timeline with memory system
All processing on-device
No server uploads
No cloud storage by default
GDPR aligned
Works offline and air-gapped
Dual-use: on-device OR server (choice)
The public dashboard demo sends computed numbers, never video or audio, to our server for analysis
Vanilla JS, WebGL, CSS3
Open-source face landmarks, published rPPG methods, on-device fusion pipeline
Web Audio API
Web Crypto API (SHA-256)
PWA, on-device, server, air-gapped
Each domain needs its own integration, its own evidence and its own regulatory route. The full description is at Solutions.
This software is PROPRIETARY and protected by copyright, with 1 patent granted, 2 pending.
Founder & CEO, EmoPulse
info@emopulse.app ·
emopulse.app