Products for Real-Time Human-State Intelligence
Synheart delivers an end-to-end HSI platform unifying biosignal processing, on-device inference, ingest APIs, and AI agents to enable applications that interpret emotion, focus, and behavior with strong privacy guarantees.
(Install SDKs · Connect Wearables · Visualize Human State)
Synheart Wear
Connect any wearable. Stream biosignals. Power HSI
Synheart Wear is the sensing layer of the Synheart ecosystem. It connects with platforms like WHOOP, Garmin, Apple Watch, Fitbit, and Pixel Watch, and standardizes their physiological signals into a unified stream.
What Synheart Wear Supports
Heart Rate (HR)
Real-time heart rate monitoring from connected wearables
Heart Rate Variability (HRV)
Advanced HRV metrics for stress and recovery analysis
Electrodermal Activity (EDA)
Skin conductance measurements for emotional state detection
Motion / Accelerometer (ACC)
Movement and activity tracking for context-aware insights
Temperature (when supported)
Body temperature monitoring for comprehensive health tracking
Human-State Interface (HSI)
On-device models for Emotion, Focus, and Behavior.
HSI is Synheart’s multimodal inference engine — a unified framework that processes biosignals such as HRV, EDA, motion, and heart rate to compute real-time measures of emotional, cognitive, and behavioral state directly on the device.
What HSI Supports
Ultra-Light Edge Models: Optimized for fast, private processing on mobile and wearable devices.
Emotional State Estimation
Stress, calm, engagement, arousal — derived from autonomic physiology.
Multimodal Fusion Engine
HRV + EDA + motion + cardiac signals combined for robust, real-time inference.
Cognitive State & Focus
Cognitive load, sustained attention, and focus stability inferred from cardiac and motion dynamics.
Behavioral Understanding
Micro-motion, fidgeting patterns, activity levels, and intentional movement decoded into behavioral markers.
SWIP - Synheart Wellness Impact Protocol
Measure how apps affect human state. In real time.
For developers: SWIP lets your apps quantify your user's emotional, impact using on-device HSI inference.
For users: Install the SWIP App to see how your apps affect you.
Share anonymized metrics publicly on the open SWIP Dashboard — fully open-source.
SWIP Components
SWIP SDK
Mobile SDK for integrating SWIP into apps
SWIP App (Coming Soon)
User-facing app to view app impact metrics
SWIP Dashboard
Public dashboard for anonymized metrics
Swip Core
Fusion engine for SWIP Score
Use Cases
UX research
Understand how design changes affect user emotional state and engagement
App evaluation & A/B testing
Quantify the emotional impact of different app features and variations
Digital well-being analysis
Measure and improve the overall wellness impact of digital products
Emotion/focus-aware apps and interfaces
Build adaptive interfaces that respond to user emotional and cognitive states
Synheart Behavior
Understanding Micro-Motion & Behavioral Dynamics
Synheart Behavior analyzes motion signatures and autonomic activity to detect real-world behavioral states.
Restless vs. calm patterns
Engagement & intentional movement
Sedentary vs. active behavior
Movement signatures paired with physiological markers
Synheart Emotion
Emotional Intelligence From Your Physiology
Synheart Emotion decodes autonomic patterns to estimate real-time emotional state directly on-device.
Stress & arousal patterns
Calm & recovery states
Engagement & emotional activation
Personalized baseline affect
HRV + EDA + motion multimodal fusion
Synheart Focus
Real-Time Cognitive State Inference
Synheart Focus interprets cardiac variability, micro-motion, and autonomic signals to infer cognitive load, sustained attention, and focus stability.
Cognitive load & mental effort
Sustained attention patterns
Focus stability & drift
Fatigue indicators
HRV + motion fusion for cognitive insight
The Synheart Stack from signal to self-awareness.
Each product connects a layer of the emotional computing stack — sensing, inferring, analyzing, and reflecting emotion across research and real life. Together, they create the Synheart ecosystem: a complete platform for emotion-aware AI.
Pulse Focus
Measure how your app makes people feel — in real time.
SWIP is a mobile SDK that lets apps measure emotional well-being during digital interactions — privately, locally, and in real time. It fuses biosignals, emotion probabilities, and behavioral data into a unified SWIP Score (0–100) that reflects user wellness impact.
Cognitive Tasks
Focus and emotion datasets
Live Monitoring
Focus and emotion datasets
Emotion Correlation
Focus and emotion datasets
Research Studies
Focus and emotion datasets
Synheart Platform
APIs, dashboards, events, and developer tools for HSI.
The Synheart Platform unifies the entire HSI stack into one developer experience.
Create API keys
Access HSI telemetry events
Stream anonymized human-state metrics
View dashboards & analytics
Manage apps and integrations
SYNI
APIs, dashboards, events, and developer tools for HSI.
Human-State-Aware AI Agent Framework
Large Language Models
Real-time HSI (emotion + focus + behavior)
Multimodal & biosignal perception
Personalized interaction loops
Syni Life
Wellness Powered by Your Body
Syni Life is your personal companion built on Human-State Intelligence
Daily emotional trends
Focus cycles
Cognitive recovery
Sleep & circadian alignment
Stress & arousal patterns
Personalized baseline insights
The synheart stack from
signal to self awareness
Each product connects a layer of the emotional computing stack — sensing, inferring, analyzing, and
reflecting emotion across research and real life. Together, they create the Synheart ecosystem: a
complete platform for emotion-aware AI.