We have developed supervised & non- supervised ML algorithms which analysis all structured and non-structured data to predict failure with 97.2% real-time accuracy. They provide actionable information on real time circumstances under which real breakdown is going to happen and alert you much before the time to take suitable action. It can help you in increasing uptime, reducing operational and capital expenses and better streamlining of workflow.

We have developed word-class solution for inventory optimization which not only analysis multi-structured data but also learns from them in continuous manner. By using our solution, you will be able to get live recommendations, reduce inventory costs and better visibility of future uncertainties.

Our solution enables you to reduce maintenance expenses and increase customer satisfaction by resolving issues in a remote and quick manner. It gives you the priority list of sensors which are going to fail in near future.

Our solution enables you to optimize energy management by utilizing highest number of AI algorithms. It generates better energy demand predictive models and gives you better visibility to see future uncertainties and energy saving opportunities. It enables you to automatically manage and optimize operations in real time. It can help you in achieving your carbon emission and sustainability goals.

Our smart and simple solution enables you to increase the precision, efficiency and speed of your quality control process. It can help you in reducing the number of faulty parts and the high costs resulting from them by proactively identifying the mistakes and faults that negatively affects your production process and quality of your products. We do this by making your manufacturing process and machines smarter.