Factory Cortex
Operational intelligence for
hidden factory losses
Factory Cortex helps manufacturers expose bottleneck losses, low-speed drift, microstops, and other silent performance erosion that ordinary reporting misses.
Book a 45-minute callThe problem
Headline KPIs do not show where performance is actually going
Most factories measure OEE, planned downtime, and major breakdown events. These numbers are real and matter. But they aggregate away the smaller losses — the two-minute microstops that happen forty times a shift, the machine running at 87% of rated speed all morning, the quality deviation that tracks upstream to a subtle mechanical drift nobody detected.
This is not a data problem. Most machines already produce the signals that would reveal these losses. The problem is that ordinary reporting is built to surface alarm-level events and planned stops, not to show accumulated deviation patterns, low-speed drift sequences, or below-threshold microstop clusters.
The result is a consistent gap between what headline KPIs show and what is actually happening on the line — a gap that typically contains measurable, recoverable capacity.
What Factory Cortex does
Capability blocks
Detect hidden bottleneck losses
Surface the accumulated micro-events and slow deviations that subtract capacity without triggering alarms or appearing in daily reports.
Surface drift and microstop patterns
Identify when and where machines run below rated speed, and cluster microstops into patterns that enable root cause investigation.
Connect operational signals to action
Link performance data to shift conditions, operator context, and process variables so that visibility leads to actionable decisions.
Build visibility without transformation programs
Start with what the existing signals show. No infrastructure overhaul. No months-long rollout. Visibility before platform.
Typical use cases
Where Factory Cortex applies
- Bottleneck line monitoring
- Microstop detection below alarm thresholds
- Low-speed loss analysis across shifts
- Shift-level performance pattern visibility
- Quality correlation to upstream machine behavior
- Repeated minor deviation clustering
Pilot model
One line. One problem. Short pilot.
Every Factory Cortex engagement starts with a single, tightly scoped problem. No broad programmes. No system overhauls.
- Select one bottleneck line or machine area
- Define the specific loss pattern to investigate
- Connect to existing signal sources — no new infrastructure required initially
- Run a short observation period with structured data collection
- Present quantified findings and pattern analysis
- Decide on next steps based on what the evidence shows — not on assumptions
Signal view — placeholder
Representative view only. Actual signals depend on available data sources.
Outcomes
What a pilot produces
Quantified hidden loss
A clear view of how much capacity is being lost to sub-alarm events and slow deviations — before any corrective action is decided.
Pattern identification
Recurring microstop clusters, drift sequences, and bottleneck signatures become visible for the first time.
Actionable starting point
A narrow, evidence-based basis for deciding where to act next — not a broad action list.
How we engage
Start with one line, one problem, one question.
Every engagement begins narrow. We define scope around a single operational signal, run a short pilot, and present evidence before recommending any expansion.
Discuss a Factory Cortex pilot