Connecting data silos for better factory
visibility & optimized welds

improve inspection accuracy to catch & fix issues in time

In automotive device and electronics manufacturing, once there’s a crack or defective weld in a product, it can be nearly impossible to know what went wrong in the process.

Whether in ultrasonic, spot, laser, wire, magnetic pulse, or arc welding – it is critical to understand what caused the weld defect, not only for that specific part but also for understanding whether there is a systemic occurrence that may be affecting other parts as well in the field.

The key to assessing quality in-line and to getting at the root cause, is to collect and connect data from all the relevant manufacturing equipment, apply powerful analytics, and deliver real-time feedback.
Through this powerful combination, manufacturers can gain visibility into the manufacturing process and incoming materials to make the adaptations required for ensuring that quality products are delivered into critical applications.

So, while there may be other ways of achieving such adaptive manufacturing, this holistic approach is the only way to unlock its power and to gain its full benefits.

Connect data silos

OptimalPlus collects, harmonizes, analyzes, and connects data from across all the relevant sources, from incoming material, to manufacturing equipment, to product, to infield – so you can monitor the health and performance of your processes and products, while also detecting issues sooner.

Leverage ML based vision inspection

We correlate all parametric weld data and apply advanced machine learning-based analytics to outperform both manual and automated inspections. This enables advanced crack detection and improves weld quality to help manufacturers optimize product quality.

Enable adaptive manufacturing

By leveraging our unique infrastructure, OptimalPlus is the only company that that enables the use of in-line machine learning algorithms, so manufacturers can finally realize adaptive manufacturing and improve product quality, operational efficiency, and yield, as well as optimize materials, equipment, and processes.