Senzary in production today across 8 countries. P&G, AES, ENI, Clarios, Cotemar, Alkhorayef, UPSA, JAX, Corpacero. The same platform — different modules per department.
Senzary has been a great partner in bringing LoRaWAN-enabled vibration sensors and predictive maintenance to our plant. Two of their engineers came on-site for the initial setup, and the team has stayed engaged with regular check-ins throughout the trial.
What sets Senzary apart is their broad device portfolio combined with a management platform that has visibly matured over the course of the pilot. The time and development the team pours into IoTLogiq is evident, and it’s backed by unwavering technical support. Instead of chasing telemetry across half a dozen native device interfaces — and the inevitable sprawl that follows — we get one central hub.
We’re already expanding into additional monitoring areas and integrating IoTLogiq with our other plant applications. That’s what makes the “IoT operating system” vision the right one — and it’s a direction we like very much at P&G. Excited to see the full value delivered.
Problem: Reactive maintenance burning OT budget across multi-country energy generation rotating equipment.
Outcome: Vibration, acoustic, thermal on rotating equipment. Reactive → predictive in 90 days. Now installed in the AES Azure platform with single sign-on.
Problem: Production-line conveyor failures and bucket elevator monitoring across multiple shifts.
Outcome: Predictive maintenance on 300+ production motors. The flagship US RotaryIQ deployment. Live data, fleet-level health scoring, prediction-to-failure timeline per machine.
Problem: Worker safety on H₂S-exposed drill site. Manual XLS-based monitoring. No real-time location for evacuations.
Outcome: Live in production right now. Every shift, 350 employees and contractors. Real-time location, H₂S exposure tracking, evacuation muster. Replaced manual XLS and radio-based monitoring with live, defensible data.
Problem: Baghouse health monitoring in oxide rooms + rotating equipment reliability. EPA exposure risk.
Outcome: Continuous differential-pressure and motor-health monitoring. EPA-defensible audit trail. Manufacturing reliability + air quality compliance on one platform.
Problem: High-value soldering machines and personnel tracked across shore-to-offshore transfers. Asset accountability across vessel boardings.
Outcome: Real-time asset and personnel tracking across shore and offshore platforms. Vessel boarding compliance. Tools tracked at every stage from warehouse to job site (RFID, BLE, LoRaWAN).
Problem: Passenger experience + facilities operations. Smart restrooms, asset tracking, satisfaction polling.
Outcome: Smart restroom occupancy and supply monitoring. Ramp asset tracking. People counting for capacity planning. Passenger satisfaction polling integrated with operations.
Problem: Critical AHU (Air Handling Unit) imbalance impacting production reliability. Need predictive maintenance to schedule repairs during technical shutdowns.
Outcome: Identified AHU imbalance through dashboard. Planned repair during next technical shutdown. Minimum production impact. Thousands of dollars saved.
Problem: Gearbox loose-coupling on lamination train axis risked catastrophic stoppage and operator safety.
Outcome: Identified gearbox loose-coupling. Fixed without stoppage. Saved $32K in revenue/repair/labor. Zero casualties. +$20K saved by reusing IoT network for other projects.
Problem: Multi-site visibility across energy services operations. Existing SCADA + CMMS silos couldn't be unified.
Outcome: On the path AES, ENI, Cotemar are moving to — one operational picture, one operating system. Beyond SCADA, beyond AVEVA, beyond silos.
90 days. Pays back on the first failure avoided. Additive — your SCADA, AVEVA, and CMMS stay where they are.