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)
- Heart Rate Variability (HRV)
- Electrodermal Activity (EDA)
- Motion / Accelerometer (ACC)
Key Features
- Unified Data Access across devices & vendors
- Real-Time Streaming for HR, HRV, EDA, and motion
- Local Preprocessing SDK for artifact removal and noise handling
- Developer CLI for simulation, testing, and local pipelines
Pulse Focus
Train your mind to stay focused in a world full of distractions.
Pulse Focus is a biofeedback-powered focus game that trains attention under pressure while measuring real cognitive focus, stress, and emotional response through heart signals and gameplay, helping you stay sharp in a chaotic world.
Key Benefits
- Strengthen focus under real distraction, not artificial calm
- Build mental resilience in fast, noisy, high-pressure environments
- Understand your focus and stress patterns through real-time biofeedback
- Turn focus into a measurable skill, not a vague feeling
Features
- Biofeedback-Driven Focus Gameplay
- Focus Training Game Modes
- Emotion & Stress Awareness
- Distraction & Recovery Tracking
- Competitive & Social Motivation
SWIP
Measure how apps affect human state. In real time.
For developers: SWIP lets apps quantify their emotional, cognitive, and behavioral impact using on-device HSI inference. For users: Install the SWIP App to see how your apps affect you.
SWIP Fuses:
- Biosignals (HR, HRV, EDA, ACC)
- HSI Emotion outputs
- Device context
Use Cases
- UX research
- App evaluation & A/B testing
- Digital well-being analysis
into a unified SWIP Score (0–100) representing human-state impact.
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
Micro-motion and motor-state understanding.
SynHeart Behavior is a privacy-preserving framework that converts digital interaction dynamics—such as timing, fragmentation, and interruptions—into structured numerical representations of user behavior without collecting content or personal data.
Perfect for:
- Focus and distraction modeling
- Digital well-being analytics
- Behavior-aware AI agents
- Adaptive UI and system design
- Privacy-first behavioral research
Key characteristics:
- Content- and identity-free data collection
- Event-, session-, and daily-level aggregation
- Interpretable continuous metrics (not labels)
- Temporally grounded interaction modeling
- Privacy-preserving by design
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.
Synheart Core
Unified SDK for human-state intelligence — single integration point for all Synheart features
Synheart Core SDK is a modular, on-device human state intelligence system that collects multi-modal signals, fuses them into a unified state representation (HSV - Human State Vector), and provides optional interpretation modules for focus and emotion.
Wear Module
Collects biosignals from wearable devices.
Phone Module
Collects device-level signals.
Behavior Module
Captures interaction patterns.
Emotion Module
Estimates affective states from physiological and behavioral signals.
Synheart Focus
Real-Time Cognitive State Inference
Synheart Focus is a heart-driven framework that measures and enhances cognitive focus by linking real-time heart rhythm dynamics (HRV) with task performance, enabling physiologically grounded, adaptive focus assessment without relying on subjective reports.
Applications:
- Focus and attention scoring
- Bioadaptive cognitive training
- Stress–performance balance analysis
- Human–AI state awareness
- Research on heart–brain coherence
Core principles:
- Physiology-first focus modeling
- Continuous, real-time measurement
- HRV–behavior coupling
- Adaptive, feedback-driven design
- Privacy-preserving experimentation
Human-State Interface (HSI)
On-device models for Emotion, Focus, and Behavior.
Human State Interface (HSI) is a language-agnostic, contract-only specification for exchanging human-state signals between independent systems (producers and consumers).
Applications:
- Focus and distraction modeling
- Digital well-being analytics
- Behavior-aware AI agents
- Adaptive UI and system design
- Privacy-first behavioral research
Core principles:
- Contract-only
- Language-agnostic JSON
- Canonical schema
- Normalized scores + confidence
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.