Powering Predictive Intelligence Across the Factory Floor
OctoCore gives your team the ability to spot deviations early and act before they escalate. Live data, intelligent patterns and vision insights all connect in one unified platform. Predict failures, detect anomalies and maintain performance stability across every line and site.
Why Predictive Projects Struggle to Scale
Most predictive initiatives never move beyond pilots. The reason is not the algorithms but the data. Industrial data is fragmented, inconsistent and lacks context, so models are trained on unreliable signals and cannot be reused. Without a clean, governed and structured foundation, predictive logic stays locked in isolated machines instead of scaling across your network.
.avif)
Solution in Three Steps
OctoCore Predictive Operation Use Cases
Predictive Maintenance
OctoCore analyzes vibration, temperature, current and cycle time to detect early patterns of wear or imbalance before failure occurs. Define logic or train models directly on the platform. When early signs of trouble appear, the system alerts your team instantly to prevent unplanned downtime.
Predictive Process Deviation
Train machine learning models directly on your production data without external tools. OctoCore detects subtle shifts in process parameters, cycle times or signal combinations that indicate quality or performance drift. It identifies recurring patterns across machines and sites, helping your team act early and maintain stable operations.
Vision-Based Detection
OctoCore links live video streams with machine and process data to detect what sensors miss. The system highlights issues such as dirt, misalignment or visual defects in real time. Each detection is synchronized with related machine events, enabling instant traceability and corrective action.
Who This Is For
Empowering every role driving process improvement
Maintenance Teams
Stay ahead of failure risks with early warnings, actionable insights, and visual context. Plan interventions before downtime happens and move from reactive to strategic maintenance.
Continuous Improvement Teams
Identify process drift and recurring deviations early. Connect signals, KPIs, and video data to uncover improvement opportunities and sustain consistent quality.
Process Engineers
Correlate patterns across machines, parameters, and production lines. Detect anomalies, optimize process stability, and prevent quality or performance issues before they escalate.
Ready to Act Before Things Go Wrong?
OctoCore gives your teams the foresight to intervene before failures, process deviations or quality issues occur — with structured signals, machine learning, and computer vision working in sync. Let’s explore where predictive power could save you time, cost, and stress.
