EyeKnow

An AI-enabled clinical support tool that analyzes full-color retinal images to screen for referable eye diseases and evaluate patient health. The non-invasive solution uses advanced algorithms to provide accurate assessments and standardized care recommendations for providers, patients, and insurers.

Software system utilizing artificial intelligence algorithms to analyze retinal imaging data. Processes fundus photographs to identify pathological changes and generates clinical reports. Integrates with pharmacy and health center networks for distributed screening programs.

A cloud-based, AI-powered platform that delivers hospital-grade visual field testing for glaucoma detection accessible via any computer or device without requiring specialized hardware. The system uses AI webcam monitoring for patient positioning and generates detailed visual field maps by comparing sensitivity at multiple test points against age-matched normal data. It eliminates traditional clinic machinery barriers, reducing costs while improving accessibility in underserved regions.

AI-enabled Software as a Medical Device (SaMD) that analyzes full-colour retinal images to screen for referable eye diseases and cardiovascular disease risk. The software generates instant risk assessment reports for clinical decision-making and patient care optimization.

VR-based eye-tracking system for cognitive assessment and rehabilitation in neurological disorders. Integrates AI algorithms with comprehensive brain imaging databases to support diagnosis of CNS diseases, cognitive evaluation, and rehabilitation training. Provides standardized quantitative analysis for clinical research and patient monitoring.

User-friendly computer application for controlling eye-tracking protocols and recording procedures. Enables practitioners to select protocols, receive real-time feedback, and analyze results extracted from eye movement data for clinical interpretation.

An AI-powered knowledge management platform enabling remote expert support for healthcare and industrial operations. Facilitates real-time video assistance, automatic report generation, and multilingual communication between frontline teams and specialists.

Eye-tracking software interface customization enabling real-time analysis of ocular movements for clinical assessment and patient monitoring. Supports personalized configuration for physiotherapy, neurological evaluation, and rehabilitation applications.

EyeControl-Med is a personalized ICU communication platform enabling patient-provider interaction when speech or physical movement is limited. The adaptive system adjusts to changing cognitive and physical states, supporting patients from sedation through recovery while reducing operational burden on medical teams. Facilitates connection between patients, families, and providers to enhance engagement and support evidence-based, nonpharmacological care strategies.

AI-powered non-invasive health screening system that integrates multimodal optical imaging with computational biology models to assess multiple health parameters including glucose, blood pressure, and body composition from facial analysis. Combines digital biomarkers with machine learning algorithms for real-time multi-dimensional health predictions across clinical and consumer health settings.

An AI-powered knowledge management platform that empowers frontline teams with 24/7 expertise through remote support, live translation, transcription, AI agents, monitoring stations and smart reporting. The platform is designed for industry and healthcare sectors, offering features like remote assistance, AI-generated reports, live translation, and ISO 27001 certified privacy and security.

Artificial intelligence-based software that automatically evaluates conjunctival redness and allergen response severity from captured eye images. The system provides objective, reproducible measurements to assess treatment efficacy and predict medication response. Integrated with the AllergoEye imaging platform for quantified allergiediagnostik.