Real-time predictive analytics for manufacturing
Optimize your Smart Factory with machine-learning (ML) predictive models from Lynceus. The only AI-powered predictive platform that runs inline and in real-time with the manufacturing process steps in your fab using the data you already have. The Lynceus Argo platform can be easily integrated with any MES-based process flows.
The Lynceus Argo platform provides immediate alerts to process engineers and fab managers if there is a predicted process excursion, and then provides the contextual information to rapidly drill down into the root cause. The combination of real-time predictions with quick and easy drill downs into your fab data transforms your engineers into manufacturing yield and quality superstars.
ML predictive models that can be up and running in weeks, not months or years, and no “big data infrastructure” is required. Only the data that you already have today.
Monitor 100% of units produced and reduce mean time to detection from hours to minutes
Faster cycle-time by only sampling units that do not pass ML predictions
Rapid and more focused root cause analysis with automated diagnosis
The Lynceus platform (Argo) is architected for Industry 4.0 and Smart Manufacturing
Our ML models are uniquely designed from the ground up with a process-centric approach for maximum performance and accuracy
Our technology is patented with proprietary training techniques that deliver superior robustness in real-time manufacturing
Lynceus Argo is a cloud-native platform for maximum performance and flexibility, but can also run on-premise if needed
