We predict dangerous heat exposure before it happens—giving individuals, workers, and cities the time to act and save lives.
From elderly individuals to construction workers to entire cities—our technology adapts to every use case.
Maria lives alone in Lisbon. On a 38°C day, her smartwatch detects rising heart rate and skin temperature. PHDZN alerts her 25 minutes before danger—she rests indoors with water. Her daughter receives a "Maria is safe" notification.
João works on a building site in Porto. At 11am, his employer's PHDZN dashboard flags him as "approaching risk." His supervisor rotates him to indoor tasks. João avoids heat exhaustion and stays productive.
Lisbon's heat dashboard shows 847 heat stress incidents at one intersection last month—92% elderly. Dr. Costa requests shade structures. Next summer, incidents drop 73%. She has proof for the budget committee.
Miguel's automotive plant runs UPTOE. The system predicts Zone B will exceed safe temperature in 45 minutes. It automatically increases cooling and suggests moving 5 workers to Zone C. Production continues without interruption.
Follow real users through their day and see exactly how our technology protects them.
Heart rate, HRV, skin temperature from any compatible smartwatch
Algorithms estimate core temperature 15-60 minutes ahead
User, caregiver, or supervisor notified before danger
Show nearest cooling, recommend actions, confirm recovery
Our platform combines multiple advanced technologies to predict heat stress before it becomes dangerous—a capability that didn't exist until now.
Our proprietary algorithm estimates core body temperature from wearable sensor data (heart rate, HRV, skin temperature) combined with environmental conditions. Using Kalman filtering and physiological modeling, we predict dangerous heat stress 15-60 minutes before it occurs—enough time to take preventive action.
A real-time 3D thermal model of facilities that simultaneously tracks humans, robots, servers, and HVAC systems. The first platform to treat all thermal assets as one unified optimization problem.
Multi-objective optimization that balances competing goals: worker safety, robot efficiency, energy costs, and productivity. Finds the optimal tradeoff in real-time.
Intelligent workload distribution that assigns heat-intensive tasks to robots and moves humans to cooler zones—automatically, based on real-time thermal conditions.
Privacy-preserving AI that learns across facilities and users without sharing raw data. The system gets smarter with every deployment while protecting individual privacy.
Anonymized, aggregated data from thousands of users reveals hidden urban heat danger zones. The first system that can prove which city interventions actually work.
Works with existing smartwatches—Apple Watch, Fitbit, Samsung, Garmin—through HealthKit and Health Connect APIs. No proprietary hardware required.
MetaEnterprise directly addresses the EIC's priority of "Combating extreme heat in urban environments"—developing climate-neutral solutions that address urban heat island effects through AI-powered monitoring, predictive analytics, and evidence-based urban cooling strategies.
Personal Heat Danger Zone Navigator
Unified Productive Time Optimization Engine
Whether you're a city, employer, or healthcare provider—let's discuss how MetaEnterprise can help.