Increasing production targets. Strict compliance requirements. You can’t afford to make mistakes when manufacturing specialized optoelectronic components.
And detecting faulty units too late in the manufacturing process means more wasted materials, manpower, and decreased efficiency at all stages.
Add to that the specialized engineers needed to complete a root cause analysis—and it’s clear why detecting faulty units as early as possible isn’t just important—it’s a necessity.
But with poor visibility into your manufacturing data, identifying the cause of faulty units can feel like guesswork.
That’s where Early Fault Prediction comes into play, providing you with powerful prediction analytics that turns the data you already collect into an accurate system that detects faults faster and more accurately.
See Innoviz’s success story to discover how Early Fault Prediction increased their throughput by 9% and reduced faulty units being tested by over 70%See full case study
Unlock more value out of your data by using it to identify faulty units across the manufacturing process in real-time.
Quickly see how many of your units will pass and fail.
Identify the root cause of failure with pinpoint precision.
Automate or maintain complete control of the approval process.
Bridge the gap in your data flows with a solution that’s integration-ready with the most popular data storage solutions.
Full support for Google Cloud, Microsoft Azure, AWS, and more.
Eliminate the need for complex integrations.
Unlock the full value of your data in only hours.
Predictive analytics give your company deep insights into all areas of your manufacturing process.
Learn exactly what’s going wrong in the production process with enhanced deficiency discovery.
Spend less manpower and time troubleshooting and performing root cause analysis.
Discover new insights, process bottlenecks, and other issues with advanced reports.