Building human-aware systems shouldn’t require building the infrastructure too. Synheart HSI handles everything transforming raw physiological and behavioral data into a standardized, plug-and-play human state interface. Plug in and build. No redundancy. No fragmentation. No data leaving the device.
No human state signal.
Human state becomes a first-class signal.
Human state is already there in the data. It just needs the right infrastructure to surface it. Synheart introduces the missing layer transforming raw physiological and behavioral data into inferred human states such as stress, attention, cognitive load, and fatigue structured into a standardized schema called the Human State Interface (HSI). A contract your systems can immediately read and act on. Everything runs on-device. Raw biometric data never leaves the source. Built for developers, researchers, and human-centered AI systems.
Private, On-Device Processing
End-to-End State Inference
Local Inference Reliability
For decades, computers have listened to our words and tracked our behavior. Now they can understand the human state beneath both.
Synheart goes beyond models — it builds the full infrastructure layer, connecting raw physiological and behavioral data sources, running inference on-device, and delivering structured human state output your systems can build on.
Synheart goes beyond models — it builds the full infrastructure layer, connecting raw physiological and behavioral data sources, running inference on-device, and delivering structured human state output your systems can build on.
Heart Rate
72 BPM
Stress Indicator
Elevated
SWIP score
88
Stress Exposure
86%
Focus Score
75
Behavioral Coverage
360°
Every heartbeat carries signals related to stress, focus, and cognitive load. Synheart's HSI interprets these signals locally and privately, enabling human-state-aware experiences without compromising privacy.
Privacy-first processing with zero cloud dependence.
HR, HRV, EDA, and motion combined for robust emotional and cognitive state estimation.
Benchmarked using peer-reviewed, public biosignal datasets.
Reliable accuracy for real-world human-state and focus applications.
Synheart’s research sits at the intersection of cognitive neuroscience, biosignal processing, machine learning, and human-centered computing.
Our work focuses on one core question: how do physiological and behavioral patterns reflect human state — and how can that be standardized into infrastructure any system can use. Through scientific validation and collaboration with research labs, we develop the methods and technologies that power HSI.
"We are not thinking machines that feel; we are feeling machines that think."
Antonio Damasio
HRV
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We translate research into deployable human-state systems and tools.
Our pipeline transforms raw physiological data into clean, interpretable signals using advanced filtering, artifact removal, and feature extraction—all optimized for edge computing with minimal computational overhead.
Electrocardiogram and photoplethysmography signals for heart rate and cardiovascular monitoring
Variability metrics for stress, recovery, and autonomic state
Skin conductance signals reflecting arousal and emotional intensity
Motion and micro-movement data for context and behavior
Physiological thermal signals for state assessment
Whether You're A Researcher, Developer, Or Designer — If You Believe
Human-State Belongs In Intelligent Systems, There's A Place For You Here.
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