HarmonEyes
Develops camera-based computer-vision and machine-learning methods that convert video eye-movement and pupillary streams into quantitative oculomotor and pupillometry metrics and human-state inferences. Provides cross-platform edge SDKs and runtimes, a web/cloud and on-prem monitoring workspace with APIs, and model lifecycle and governance controls for regulated and enterprise deployments. Supports clinical and preclinical research with curated normative datasets, peer-reviewed study portfolios, and preclinical workflows including rodent ontogenetic exposure paradigms, standardized behavioral assays, ultrasonic vocalization analysis, biochemical and oxidative-stress assays, hormone immunoassays, RT-qPCR, and longitudinal small-animal imaging (MRI, PET/CT, SD-OCT).
Industries
Nr. of Employees
small (1-50)
HarmonEyes
Products
On-device eye-movement inference model and runtime
Trained models and compact runtimes that produce continuous human-state outputs (examples: cognitive load, attention, fatigue) from camera-based gaze inputs; engineered for on-device operation with low latency and small memory footprint.
Validated computerized oculomotor test battery
Standardized test battery measuring saccades, smooth pursuits and fixation metrics with derived composite scoring and reported psychometric performance against clinician-administered exams.
Device ingestion and normalization pipeline
Components to detect device-specific characteristics, normalize incoming gaze and ocular signals, and reduce per-device QA burden during heterogeneous device rollouts.
Mobile pupillometry capture and analysis
Mobile camera-based pupillary light reflex capture workflow and analysis for pupillary metrics (latency, peak/minimum diameter, constriction velocity, recovery time) validated in clinical data.
On-device eye-movement inference model and runtime
Trained models and compact runtimes that produce continuous human-state outputs (examples: cognitive load, attention, fatigue) from camera-based gaze inputs; engineered for on-device operation with low latency and small memory footprint.
Validated computerized oculomotor test battery
Standardized test battery measuring saccades, smooth pursuits and fixation metrics with derived composite scoring and reported psychometric performance against clinician-administered exams.
Device ingestion and normalization pipeline
Components to detect device-specific characteristics, normalize incoming gaze and ocular signals, and reduce per-device QA burden during heterogeneous device rollouts.
Mobile pupillometry capture and analysis
Mobile camera-based pupillary light reflex capture workflow and analysis for pupillary metrics (latency, peak/minimum diameter, constriction velocity, recovery time) validated in clinical data.
Services
Lightweight SDKs, documentation and examples for integrating real-time eye-movement and pupillary inference into applications across camera-based devices; includes developer quickstarts and sample code.
Web-based workspace to configure alerts, schedule reports, manage privacy and users, review sessions with annotation and export tools; available as SaaS with enterprise on-premise options.
Partnerships for clinical and preclinical studies, co-development access to validated datasets and models, and licensing pathways to support translation into diagnostic or regulated products; includes support for experimental design, behavioral phenotyping, biochemical and cytokine assays, PET/CT and MRI acquisition and processing, blinded analysis, and access to hosted publications and supplementary materials.
Implementation and analysis of tissue homogenization, FRAP, SOD, CAT, GST, TBARS, lipid-peroxidation assays, ELISA-based protein and cytokine quantification, RT-qPCR preparation, small-animal PET/CT and MRI image processing, SD-OCT retinal analysis, automated and manual behavioral scoring, and statistical reporting for rodent studies.
Lightweight SDKs, documentation and examples for integrating real-time eye-movement and pupillary inference into applications across camera-based devices; includes developer quickstarts and sample code.
Web-based workspace to configure alerts, schedule reports, manage privacy and users, review sessions with annotation and export tools; available as SaaS with enterprise on-premise options.
Partnerships for clinical and preclinical studies, co-development access to validated datasets and models, and licensing pathways to support translation into diagnostic or regulated products; includes support for experimental design, behavioral phenotyping, biochemical and cytokine assays, PET/CT and MRI acquisition and processing, blinded analysis, and access to hosted publications and supplementary materials.
Implementation and analysis of tissue homogenization, FRAP, SOD, CAT, GST, TBARS, lipid-peroxidation assays, ELISA-based protein and cytokine quantification, RT-qPCR preparation, small-animal PET/CT and MRI image processing, SD-OCT retinal analysis, automated and manual behavioral scoring, and statistical reporting for rodent studies.
Expertise Areas
- Computer vision and machine learning for gaze and pupillary analytics
- Edge and on-device inference deployment
- Oculomotor signal processing and feature engineering
- Design and validation of computerized oculomotor test batteries
Key Technologies
- Camera-based eye tracking and video pupillometry
- Edge-optimized inference runtimes and cross-platform SDKs
- Velocity- and dispersion-based event segmentation algorithms
- Oculomotor feature extraction pipelines
News & Updates
Integration of cognitive-state measurement into an XR spatial analytics platform for training, defense, and research.
Acquired a company to add an eye-tracking-based ADHD medication-management capability to its human-performance platform.
Received funding to measure and predict astronaut cognitive load and fatigue in real time under extreme environments as part of readiness research.
Applied eye-tracking models to driver and high-performance training to measure cognitive load and fatigue in simulation environments.
Semi-supervised ML analysis of tens of thousands of participants identifying age-group classifiers using a broad set of eye-tracking features across multiple oculomotor tests; reports classifier accuracy and group-comparison statistics.
Peer-reviewed study validating computerized oculomotor tests against clinician-administered exams with reported sensitivity, specificity and AUC values.
Integration of cognitive-state measurement into an XR spatial analytics platform for training, defense, and research.
Acquired a company to add an eye-tracking-based ADHD medication-management capability to its human-performance platform.
Received funding to measure and predict astronaut cognitive load and fatigue in real time under extreme environments as part of readiness research.
Applied eye-tracking models to driver and high-performance training to measure cognitive load and fatigue in simulation environments.
Semi-supervised ML analysis of tens of thousands of participants identifying age-group classifiers using a broad set of eye-tracking features across multiple oculomotor tests; reports classifier accuracy and group-comparison statistics.
Peer-reviewed study validating computerized oculomotor tests against clinician-administered exams with reported sensitivity, specificity and AUC values.