Eigen puts the power of big data to work improving the manufacturing process through real-time monitoring, analysis and optimization.
Our process begins with data. We acquire data from existing factory equipment or with cost-effective smart sensors. Our customizable solution uses OEM equipment such as thermal cameras to provide a data stream from the factory floor, one that gives managers and operators a new view of what’s happening in the manufacturing process. With our hybrid architecture, we capture and analyze this data, storing it locally or transmitting it to the Cloud.
Once captured, data from multiple sensors and equipment sources is combined into a simplified interface allowing operators to quickly get an aggregate view of whats going on in their plant floor operations. By combining all this data into a single view, operators can quickly identify and define commonalities and outliers in the data.
We use Big Data analytics to identify the complex relationships that affect productivity and quality in each factory. In addition to data from equipment, we also capture the unique insights offered by operators on the factory floor. By using machine learning, our solution continually gets smarter as it acquires and analyzes data. This allows us to use analytics to create predictive models – anticipating and correcting potential problems before they become operating issues.
Understanding where the problems are and what causes them is helpful. But we don’t stop there. Our patented real-time optimization algorithm and predictive modeling gives you the power to automatically adjust equipment to maximize both productivity and quality. Eigen’s continuous analytics Software as a Service (SaaS) ensures 24/7 monitoring.