KLVIN offers an AI‑driven predictive maintenance platform that continuously monitors critical industrial assets using edge‑deployed AI and IoT sensors to detect anomalies and forecast failures in real time. By delivering actionable alerts, energy‑efficiency recommendations, and digital‑twin simulations, the solution helps operations teams reduce unplanned downtime, extend equipment life, and improve safety and compliance.
Funding
Funding not disclosed
Founders
Product
Problem
Industrial plants often experience unplanned equipment failures, leading to costly downtime, excess energy consumption, and shortened asset lifespans. Traditional maintenance relies on scheduled inspections or reactive repairs, which cannot reliably predict failures in real time.
Solution
KLVIN provides an AI-driven predictive maintenance platform that continuously monitors critical assets such as motors, pumps, compressors, and thermal equipment. Edge‑deployed AI models analyze sensor data on‑device to detect anomalies and forecast failures before they occur. Detected issues are sent to a cloud analytics layer that translates raw signals into actionable alerts, energy‑efficiency recommendations, and digital‑twin simulations. Operators receive real‑time insights via a dashboard, enabling targeted interventions that reduce unscheduled downtime, lower energy waste, and extend equipment life while maintaining safety and compliance.
Target Audience
Primary customers are operations and maintenance teams in heavy‑industry facilities—such as steel mills, cement plants, rubber manufacturers, and large‑scale healthcare equipment providers—seeking to improve uptime, energy efficiency, and asset longevity.
Features
- Edge AI inference on each machine for instant anomaly detection without reliance on constant cloud connectivity
- Integrated IoT sensor suite that captures vibration, temperature, pressure, and other key parameters
- Cloud analytics platform that aggregates edge data into predictive failure models and energy‑optimization insights
- Digital twin capability to create virtual replicas of assets for simulation, testing, and performance tuning
- Continuous safety monitoring with compliance reporting and alerting
- Scalable architecture supporting multiple asset types across steel, cement, rubber, and healthcare facilities