Industrial machine learning software designed to optimize industrial processes for higher yield and quality and lower production costs.
Suboptimal decision making and control in industrial facilities leads to process inefficiencies which damage production quality, yield and results in high production costs and low OEE. Traditional process improvement systems fail to solve process improvement challenges faced by Industrial facilities.
Our AI software uses data to learn how your facility operates and how processes can be optimized for higher yield, quality and lower production costs.
Production process inefficiencies have a direct impact on product quality and yield. Traditional process improvement systems have failed to solve process improvement challenges. With our intelligent Machine Learning software process engineers and plant operators can
Predict and prevent process inefficiencies,
Use actionable insights and control actions to increase yield and cut production costs
Automatically detect and prevent machine and asset failures
Increase Yield and Capacity
Improve quality metrics
Hidden factors can affect the quality of products, increase production costs and ultimately affect deliveries. Using Aegasis you can now
Predict quality issues and perform root cause analyses in real time,
Prevent quality issues with realtime actionable intelligence
Minimize scrap, rework and warranty claims by preventing quality issues and rework calls
Process inefficiencies can result in resource wastage and high energy consumption. This can increase production costs. With our AI software you can
Predict future energy consumption
Understand root cause of increase / decrease in future consumption patterns
Understand key factors and take actions to reduce energy consumption
Achieve optimal set point values with realtime autonomous control
Reduce Energy consumption