They provideadvanced condition monitoring, analytics, and decision-support technologies that enhance performance, reliability, energy efficiency, and safety of industrial assets.
Funding
Funding not disclosed
Founders
Product
Problem
Industrial operators often rely on scheduled maintenance and limited sensor data, which can miss early signs of equipment degradation. This leads to unexpected failures, reduced energy efficiency, and higher safety risks across plants and marine vessels.
Solution
Inorun delivers custom condition‑monitoring systems that combine advanced signal processing, anomaly detection, and machine‑learning analytics to continuously assess equipment health. Their solutions generate real‑time decision support, enabling predictive maintenance schedules that reduce unplanned downtime and lower energy consumption. The company also offers consulting and advisory services to integrate these technologies into existing operations and to optimize overall asset performance. Collaborative research projects with industry partners and universities further extend their IoT‑enabled sensing capabilities for deployment in diverse industrial environments.
Target Audience
Primary customers are plant managers, reliability engineers, and maintenance teams in heavy‑industry sectors such as manufacturing, energy, and marine vessel operations seeking to improve asset reliability and efficiency.
Features
- Tailored monitoring hardware and software stacks built for specific asset types and operating conditions
- AI‑driven predictive maintenance models that forecast failures from operational data and sensor streams
- Real‑time anomaly detection using advanced signal‑processing algorithms
- Integrated decision‑support dashboards for maintenance planning and energy‑efficiency insights
- Consulting and advisory services for performance optimization and digital transformation
- Collaborative R&D programs with universities and startups to develop and validate new sensing and analytics technologies