At the heart of DIAQNOSTIC is our clinically aligned Digital Twin model. It continuously profiles each user by combining health history, environmental exposure, daily behaviour, and physiological responses. The Digital Twin feeds our logic engine to create real-time, individualised health insights and adaptive prevention strategies.
DIAQNOSTIC operates as a cloud-based analytic service with a modular pipeline structure. Personal data streams — including geo-tracking, movement patterns, air quality metrics, and user health inputs — flow securely into our processing environment. Data is analysed in real-time, generating risk assessments and recommendations back to user-facing mobile apps or healthcare platforms.
Data privacy and security are fundamental to DIAQNOSTIC’s architecture. All personal data is anonymised where possible, encrypted in transit and at rest, and processed in compliance with GDPR and other applicable data protection standards. Our system follows international best practices for health data handling and operates within secure cloud infrastructure.
We provide a secure, scalable API framework for seamless integration of DIAQNOSTIC’s analytics into partner apps. Our API delivers exposure data, health risk scores, personalised recommendations, and chatbot-ready prompts, ensuring flexibility for both B2C and B2B2C models.
