Turn production data into clearer decisions with AI-powered insights, real-time OEE, and digital twins built around your operation.
See Beacon in actionWe use advanced AI to build analytics around your operation, from customer-specific dashboards to machine-learning models that analyze real-time and historical production data. Identify patterns, spot anomalies, and connect production, OEE, and quality in a view your team can act on.
Where your application and data support forecasting, predictive analytics help your team anticipate issues and plan ahead.
Understand true performance across production lines and shifts. Beacon aggregates Flow data into real-time OEE calculations, downtime analysis, and throughput trends with drill-down capabilities.
Live OEE monitoring, production metrics, and performance indicators that update automatically as your operations run.
Explore real-time and historical production data through visualizations that reveal patterns, bottlenecks, and opportunities for improvement.
Compare planned vs. actual performance across the metrics that matter to your manufacturing operations.
Bring real-time machine metrics into a view of your operation. Beacon supports digital twins in 2D or 3D, collecting and exposing equipment data in the format that works best for your team.
Use a clear 2D layout to see status and metrics across a production line or work area. Put the information beside the equipment it comes from, so your team can see where attention is needed.
Use a 3D equipment view when physical context helps explain the data. Expose real-time metrics alongside the relevant machine or component, with the level of detail your users need.
Illustrative views. The metrics shown in your digital twin depend on your connected equipment and application.
Bring production conditions, quality results, and schedule performance together so your team can see where to focus.
Beacon combines quality data from Verify with production metrics to identify correlations and investigate quality changes, with predictive analysis where applicable.
Connect quality trends to production conditions to support proactive quality management and reduce scrap.
Track actual production against planned schedules from Align. Visual dashboards compare planned vs. actual production timing, highlighting deviations and helping teams stay on track.
See production delays in context and focus attention where the plan is slipping.
Analytics code and machine-learning models can run entirely on your infrastructure, so production records stay inside your network. Once deployed, these analytics run independently of the external AI tools used to help build them.
External AI coding tools are part of our development process. We use them with schema information—the structure and relationships in your data—without sending production records.
We align production-data access and processing with your AI policies, and make our AI-assisted development approach clear during planning.
Explore AI-powered analytics built around your production goals, infrastructure, and production-data requirements.
