Nanoprecise: Helping manufacturers avoid costly downtime with scalable AI & IoT

The advent of digitization and technological revolution has pushed the need for predictive maintenance industry like never before. Through a combination of technological advancements such as IoT, cloud computing and machine learning/AI, the ability to extract value from legacy industrial rotary machinery such as pumps, compressors, motors etc. is now a reality — and this data helps to predict when and where failures will occur in particular components inside those machinery, through specific failure pattern recognition. Overall, this end to end solution enables predictive asset maintenance for the end-users.

According to the Statista Research Department, the global predictive maintenance market is expected to reach around $23.5 billion by 2024 with an annual growth rate of nearly 40% from 2018 to 2024. Serving this ever-growing market is Nanoprecise - a trusted Indo-Canadian futuristic tech company, in the predictive maintenance industry.

Nanoprecise: Manifesting the Finest Tune of Predictive Analysis

Maintenance issues can quite literally make or break business operations. Fortunately, Nanoprecise, a leading predictive & prescriptive maintenance solution provider has developed advanced IoT + AI-based technology to fuel innovation, drive new opportunities and accelerate smart manufacturing.

Nanoprecise has carved a niche in the next-gen industrial technology business by coupling Artificial Intelligence and IoT with physics, material science and data analytics to diagnose issues with physical assets in various industries. They are known in the field of condition monitoring for their precision in diagnosing issues with industrial machinery and predicting the remaining time to failure so that proper corrective actions can be taken at an appropriate time, thereby avoiding costly downtimes in the manufacturing plants.

Preventive maintenance was the industry standard for reducing downtime due to machine malfunctions and for running pieces of equipment efficiently. But the automated AI-based predictive maintenance solution by Nanoprecise takes it to next level as it offers insights that focus on early detection of even small changes in the health of individual components inside that machine well before their failure impacts production or cause downtime. This ultimately streamlines the existing maintenance practices of the companies dealing with rotating machinery and brings next-level efficiency to the same.

Enabling End-to-End Automated Solutions

Cofounded by Sunil Vedula & Prashant Verma, Nanoprecise delivers innovative solutions that crush business complexity by maximizing the machine's lifetime value and helping brands solve problems faster, thereby transforming business operations. The firm is backed by a team of in-house experts and professionals that routinely deliver impactful results in terms of predictive asset maintenance and condition monitoring.

While talking about his venture and the future that lies ahead, founder Sunil Vedula says, “Our AI-based intelligent automation system comprises of a unique six-in-one sensor that measures the 6 most important parameters that describe the health of any rotating machinery and patented algorithms that analyze these 6 streams of data in real-time and provide peace of mind to customers."

"We’ve built our hardware and software to be scalable enough to stay ahead of rapid change. Our solutions save time so that our clients, employees and customers can get back to what matters most, i.e., what and how the maintenance to be done rather than on what equipment and when maintenance is needed, thus bringing a revolution in the world of industrial machine maintenance with industry 4.0. Driven with strong business ethics and principles, we strive to create a 360-degree integrated system that can predict the lifespan of any rotating machinery asset with more than 95% accuracy and empowers users with the right insights at right time for the particular components in appropriate assets" he adds.

Pattern Recognition – A Predictive Approach

Every failure that can ultimately grow to be catastrophic, starts small. Thus, early detection and failure growth pattern recognition is key for accurate predictive maintenance. Nanoprecise can achieve this feat reliably, without a need for specialists such as certified condition monitoring analysts or reliability engineers. Its system is able to differentiate between normal and abnormal machine behaviour, measuring even subtle patterns, thus ensuring early detection of failures with individual components inside the machinery with more than 95% accuracy and reliability. This is a significant achievement in the field of predictive maintenance as it provides a glimpse into the future performance of the machines, allowing manufacturing units to avoid any catastrophic failures.

Peace of Mind with Predictive Maintenance

Automated Predictive cum prescriptive maintenance is a game-changer for rotary machinery in industrial or commercial complexes as it makes maintenance a true value creator for businesses, by optimizing asset performance through increased reliability. Nanoprecise envisions ensuring peace of mind for its clients by empowering businesses with predictive capabilities using a combination of seamless networking and quantifiable results.

The distinctive Plug-n-Play deployment feature allows for easier and smoother mounting options without worrying about any extra IT infrastructure. It offers real-time monitoring of the machine health and advanced anomaly detection, fault characterization and remaining time to failure prediction well in advance. This provides manufacturers valuable time to organize maintenance activities thereby saving machine shutdowns.