Frandzzo: AI Wearables for Real-Time Vital Sign Monitoring

Smart wearable IoT devices enable real-time vital tracking and predictive care, revolutionizing patient monitoring

In a digitally connected care environment, continuous health monitoring is no longer a futuristic concept—it’s a clinical necessity. At Frandzzo, we bring this vision to life through AI-integrated wearable IoT solutions that enable real-time tracking of patient vitals like heart rate, oxygen saturation, body temperature, respiration rate, and blood pressure— both inside and outside the hospital setting.

Frandzzo’s intelligent wearables, powered by TinyML and on-device AI inference, process vital signals locally, minimizing latency and ensuring that sensitive health data remains secure.

These smart devices work seamlessly across Wi-Fi, Bluetooth, or LoRaWAN networks, transmitting only anomaly-triggered alerts or aggregated insights to care teams, thereby conserving bandwidth and enhancing system responsiveness.

Our platform leverages federated learning to refine health predictions without exposing raw patient data. By training AI models collaboratively across devices, we maintain strict compliance with global healthcare privacy regulations (HIPAA, GDPR) while still enabling adaptive learning at scale.

Further enhanced with predictive analytics, these devices can detect early warning signs of deterioration, send automated alerts to clinicians, and even trigger emergency protocols when critical thresholds are breached—ensuring timely, data-driven intervention.

Frandzzo’s wearable ecosystem transforms passive monitoring into active, AI-guided care, offering patients safety, clinicians clarity, and health systems a scalable solution for proactive healthcare delivery.