Intelligence shaped around the person.
MATILDA combines a purpose-built machine-learning model, connected health data and AWS-powered infrastructure to build a changing picture of each person’s habits, routines and health context.
Health signalsDaily contextPersonal baselineChanging patternsUseful next steps
A model designed for individual lives, not average behavior.
MATILDA’s machine-learning model was developed in-house to form a personalized understanding of each user. It learns from connected metrics and the circumstances surrounding them, then adapts as the person’s life and data change.
Personal from the start
The model organizes information around the individual’s own history, routines and goals.
Context stays attached
Meals, activity, sleep, medication and personal observations remain connected to the readings they may help explain.
Designed to adapt
New information continually updates the internal picture, helping MATILDA remain relevant as patterns change.
From scattered signals to useful context.
MATILDA does more than place information on the same screen. Its intelligence layer preserves timing and relationships, compares new events with the user’s evolving baseline and presents patterns in a form people and care teams can review.
Scalable servicesReliable data processingSecure architectureResponsive experiences
A cloud foundation built to support connected intelligence.
MATILDA uses AWS to support the infrastructure behind data processing, model operations and responsive product experiences. The architecture gives the platform room to grow while keeping reliability, controlled access and responsible data handling central to the system.
AWS provides the foundation. MATILDA’s in-house model provides the patient-specific intelligence.
The model changes as the person changes.
Health behavior is not static. Schedules shift, preferences change and new information becomes available. MATILDA was designed to retrain its personalized understanding with each user’s authorized data so its view can evolve with them.
Powerful technology needs clear boundaries.
MATILDA organizes information, identifies patterns and supports more informed choices and conversations. It does not replace clinical judgment.
The clinician makes medical decisions.
MATILDA can surface context for review, while licensed professionals remain responsible for diagnosis, recommendations and treatment.
Access depends on authorization.
Care-team visibility is tied to the patient’s permission and the access model surrounding their account.
MATILDA is not emergency monitoring.
The platform does not automatically intervene, dispatch assistance or guarantee immediate clinician review.
The intelligence matters because the person does.
Explore the research principles and evidence framework guiding MATILDA’s continued development.