Leading the future of industrial equipment diagnostics
At IndusFaultLib, we are dedicated to revolutionizing industrial equipment maintenance through cutting-edge diagnostic technology. Our mission is to empower manufacturers worldwide with intelligent, predictive maintenance solutions that minimize downtime, reduce costs, and maximize operational efficiency.
We believe that every machine tells a story, and our advanced AI-powered platform helps you read between the lines, predicting failures before they happen and ensuring your factory operations run smoothly 24/7.
We continuously push the boundaries of what's possible in industrial diagnostics, leveraging the latest AI and IoT technologies.
We build trust through consistent, accurate diagnostics and unwavering support for our clients' success.
We work closely with our clients to understand their unique challenges and deliver tailored solutions.
Founded in 2020, IndusFaultLib emerged from a simple observation: industrial equipment failures were causing billions in losses annually, yet most failures were preventable with the right diagnostic tools.
Our team of engineers, data scientists, and industry experts came together with a vision to transform reactive maintenance into predictive intelligence. Starting with a small pilot program in three manufacturing facilities, we've grown to serve over 1,000 clients worldwide.
Today, IndusFaultLib stands at the forefront of Industry 4.0, helping smart factories optimize their operations through AI-powered diagnostics, real-time monitoring, and predictive maintenance analytics.
Our diverse team combines expertise in industrial engineering, artificial intelligence, cloud computing, and manufacturing operations.
CEO & Founder
20+ years in industrial automation
CTO
AI & Machine Learning expert
Head of Engineering
IoT & Cloud infrastructure specialist