cloud/server deployment.

Full Description:

AI learned to think. EmoPulse gives it eyes.

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 fixes that.

EmoPulse is the emotion and perception infrastructure layer for AI platforms. The platform measures 47 real-time biometric and emotional parameters — heart rate (rPPG), HRV, stress, micro-expressions, cognitive load, gaze tracking, voice emotion, authenticity scoring, and Action Units (FACS) — from any standard camera, with no wearables or hardware required.

What makes EmoPulse unique is the 5-layer ontological architecture underneath:

1. Signal Extraction — 47 biometric parameters from a single camera 2. State Vector S(t) — raw signals fuse into a multidimensional human state representation 3. Moral Geometry Layer — ethical evaluation framework computing behavioral directives from human condition 4. Dynamic Prompt Architecture — AI behavior dynamically generated from the human state 5. Ontological Response — AI that operates from perception, not assumption

Dual-use architecture gives clients full flexibility: 100% on-device processing for maximum privacy (GDPR and defence-grade compliant, air-gapped capable), or cloud/server deployment for enterprise-scale integration. No special hardware needed in either mode.

The platform also introduces a new category of cybersecurity: 47-signal multi-modal biometric authentication. Unlike passwords (leaked), fingerprints (replicated), or face unlock (deepfaked), EmoPulse authenticates who you are — a living, multi-dimensional biometric signature that changes every second and cannot be replayed.

Core proprietary technologies: NeuroMesh™ (68-point facial landmark + Action Unit tracking), PulseSense™ (rPPG-based heart rate and HRV extraction), TruthLens™ (Duchenne-based authenticity scoring), MoodCast™ (predictive emotion timeline and contagion tracking), and MoralGeometry™ (ethical evaluation framework for AI behavioral directives).

On March 5, 2026, the system achieved a milestone: an AI read a human through all 5 ontological layers before responding — adapting tone, depth, urgency, and pace from a live biometric stream. Not a concept — working code, running now.

2 patents filed (EU/US, covering ontological architecture and biometric-to-AI pipeline), 3rd in preparation.

Target markets: defence and security ($49B defence AI), cybersecurity and biometric authentication ($37B), healthcare ($15B telehealth), education ($8B EdTech AI), AI platform integration ($30B AI assistants), HR and wellbeing, and market research. Total addressable market: $130B+.

Independent clinical evaluation completed by Dr. Anastasia Vasina (Clinical Product Management, HealthTech) — platform validated as a credible real-time behavioural signal and biofeedback tool.

Currently raising a €2M seed round. Pre-money valuation €6M. 18–24 month runway. Use of funds: 40% product & engineering, 35% team, 25% go-to-market (defence pilots, NATO DIANA pipeline, healthcare validation).

Founded by Arvydas Pakalniskis. emopulse.app | info@emopulse.app