Fermai offers Doctor 4.0, a patented AI‑driven monitoring device that combines four built‑in sensors (temperature, vibration, sound, magnetic flux) with five auxiliary channels for additional measurements, all operating battery‑free for lifetime durability in harsh industrial environments. The system captures data every second, processes it on‑device, and streams it to a cloud‑based dashboard and mobile app, providing real‑time metrics, predictive maintenance alerts, and integrated video surveillance of equipment.
Funding
Funding not disclosed
Founders
Product
Problem
Industrial facilities often rely on disparate, battery-powered sensors and manual data collection, leading to gaps in real-time monitoring, limited predictive insight, and frequent device replacements in harsh environments.
Solution
Doctor 4.0 is a patented, AI‑driven monitoring platform that combines four built‑in sensors (temperature, vibration, sound, magnetic flux) with five auxiliary channels for additional measurements such as voltage, current, flow, pressure, and speed. The device operates without batteries, drawing power from its environment to provide lifetime durability in demanding settings. Data are captured every second, processed on‑device with AI algorithms, and streamed to an IoT cloud platform accessible via web and mobile apps. Users can view real‑time metrics, historical trends, and receive instant alerts, while an integrated webcam enables remote visual inspection of equipment. The system’s modular sensor architecture allows easy expansion to monitor any additional parameter required by the user.
Target Audience
Primary customers are manufacturing plants, energy producers, and heavy‑industry operators that need continuous, high‑precision condition monitoring and predictive maintenance for their critical equipment.
Features
- Battery‑free design that eliminates maintenance and ensures continuous operation
- Four native sensors (temperature ±10 °C, vibration ±1.02 g, sound ≤70 dB, magnetic flux ±1.02 mWb) with per‑second AI‑enhanced data analysis
- Five auxiliary input channels supporting voltage, current, flow, pressure, speed, and other custom measurements
- Cloud‑based dashboard and mobile app for real‑time monitoring, historical data comparison, and configurable alerts
- Integrated webcam for remote video surveillance of machinery directly from the portal
- Plug‑and‑play installation via QR‑code scanning, enabling rapid deployment without specialized tools
- Scalable architecture allowing addition of new sensor types without hardware replacement