European freight railcar lessor Ermewa has deployed Load Status in Motion (LSiM) technology from Amsted Digital Solutions SAS across cars already equipped with Amsted Digital telematics.
Ermewa has a fleet of 50,000 railcars covering the aggregates and worksites, automotive, chemistry, grain, energy, intermodal, palletized goods, and steel markets.
The new LSiM technology delivers real-time load status and mileage tracking, without the use of external sensors, Ermewa and Amsted Digital Solutions SAS reported late last month.
According to the companies, LSiM “transforms each railcar into a smart, self-aware asset by analyzing high-frequency motion and vibration data. Its AI [Artificial Intelligence] engine learns in real time, adapting to railcar types, truck designs, and route profiles to deliver sensor-level performance—at a fraction of the cost.”
“At the core of LSiM is unsupervised deep learning (AI learning),” Ermewa and Amsted Digital Solutions SAS explained, “which detects anomalies without needing predefined fault signatures. With edge computing built into every device, insights are processed locally, ensuring low latency, high data integrity, and continuous operation even in low-connectivity environments.”
LSiM supports both predictive maintenance and sustainability goals, they pointed out, as the technology can help users extend asset life, reduce shop time, and eliminate unnecessary part replacements.
“The insight unlocked by LSiM far exceeded our expectations,” commented Peter Reinshagen, Managing Director at Ermewa. “Thanks to Amsted Digital’s AI-native design, we’ve remotely activated powerful new capabilities—without hardware changes, installation costs, or added emissions. The result: significant reduction of the impact of the maintenance on our customers’ supply chain.”
“Activating LSiM fleet-wide—even on units installed years ago—proves the long-term value of embedding edge AI into telematics,” noted John Felty, Managing Director of Amsted Digital Solutions SAS. “And with over-the-air upgrades, we can now add advanced diagnostics—like brake fault alerts, bearing wear, and wheel condition monitoring—without ever touching the wagon.”
“We are proud to push AI forward without relying on additional wireless sensors,” added Evan Weiner, Vice President, IoT Technologies for Amsted Digital. “Sensors increase cost, raise long-term reliability concerns, and contribute to environmental waste through battery disposal. Our architecture enables upgrades without downtime—no depot visits, no field crew interruptions, just seamless performance.”
