AALisi Engine — Invisible Intelligence at the Service of Life
The technological core of Zaiera S.r.l.: integration of millimetre-wave physics and artificial intelligence for non-invasive biometric monitoring and operational integration with the HEMS Hub.
mmWave Radar Technology (60–77 GHz)
AALisi Engine uses millimetre-wave radar to generate point clouds of the environment without acquiring recognisable images, allowing for micro-movement measurements with sub-millimetre precision while ensuring user privacy.
- Privacy-by-Design: no images, only point clouds and numerical features.
- Precision: remote extraction of heart rate and respiration through thoracic micro-movements.
- Fields: private homes, healthcare facilities, and HEMS operational areas.
Xenia AI — The Predictive Brain
Xenia processes radar streams in real-time with deep learning models optimised for mmWave signals, enabling advanced detection, life pattern analysis, and explainability modules for clinical use.
- Advanced Fall Detection: >98% reduction in false alarms compared to traditional thresholds.
- Pattern Analysis: habit learning and early detection of clinical anomalies.
- Validation: experimental protocols with CNR-IRIB and university partners.
For reviewers: technical whitepaper and sample dataset (anonymised) available on request.
Integration with HEMS Infrastructure
AALisi Engine is not limited to home monitoring: it serves as an environmental telemetry system for the HEMS Hub, monitoring operational parameters of the take-off/landing area and the status of operators, with priority streams for critical events and interfaces for SEUS-118 dispatch.
Clinical Validation and Data Governance
Validation protocol with scientific bodies for cardiorespiratory measurements and detection of critical events. All studies follow ethical guidelines, informed consent, and data anonymisation policies.
- Controlled studies for sensitivity/specificity.
- Anonymisation pipeline and GDPR-compliant storage.
- Certification process and documentation ready for audit.
Privacy & Security
Edge-first processing, end-to-end encryption, data minimisation, and role-based access control. Xenia exports only aggregated features to the cloud; raw point clouds are managed with minimal retention criteria.