KLVIN's monitoring ecosystem connects every layer—from sensor to cloud—to create an intelligent feedback loop that keeps your assets at peak performance.
Multi-parameter sensors continuously capture temperature, vibration, acoustic, electrical, and environmental data from critical assets in real time.
Edge AI algorithms process data locally to detect anomalies and patterns that signal emerging problems long before failure.
Machine learning models forecast equipment failures days or weeks in advance, enabling proactive maintenance planning.
Automated alerts and recommendations guide maintenance teams to intervene precisely when and where needed.
KLVIN's core industrial AI and predictive maintenance technology is protected by a granted patent in India, reflecting our commitment to genuine innovation in the edge-AI and IIoT space. Our intellectual property underpins the advanced anomaly detection, RUL forecasting, and automated decision-support capabilities that power every SENTINEL deployment.
AC and DC motors across all power ratings, from 30 HP to 550 HP.
Air compressors, blowers, and pneumatic systems.
Centrifugal, submersible, and specialty pumps.
Furnaces, boilers, and heat exchangers.
CNC machines, presses, and automated lines.
HVAC systems, autoclaves, and cleanrooms.
Backed by Industry & Academia