The company has developed a data analytics and machine learning platform technology that could be customised and scaled for specific needs in the utility and industrial asset management space. The company possesses not just technology expertise in data science and machine learning but also domain expertise in the energy and utility sectors. The technology is developed upon an inhouse Internet of Things (IoT) platform that can be deployed in less than 24 hours.
Understanding that each company would have specific requirements, the technology is therefore built with customization. While almost every aspect of the system can be customized, the company primarily offers two types of customization – dashboard customization and algorithmic customization. Dashboard customization is a front-end customization that involves data manipulation for visualization. Algorithmic customization can be machine learning algorithm, mathematical algorithm, or process algorithm.
The company does not operate in a “define and build” methodology as they believe in the importance of customer success. They work with customer on the agile methodology and allow customer to modify the project requirements on the get go. The development work does not usually end at the stage, as the company would still work with customer on regular basis to understand how they can be better served.
The company focuses its application on non-critical assets in the energy / industrial 4.0 sector. Some applications include: