Operational AI for manufacturingYour largest operational problems aren't unknown. They're unseen.
Worlds is an Operational AI platform that leverages your existing cameras and sensors to continuously measure OEE, labor efficiency, and cycle performance, providing your manufacturing teams ground-truth visibility into what's actually happening on the floor.
Operational AI for manufacturingYour largest operational problems aren't unknown. They're unseen.
Across your manufacturing floor, cameras and sensors are already capturing operations 24/7, but most operators still lack visibility into the inefficiencies, delays, and process breakdowns driving performance loss behind the metrics.
Worlds is the Operational AI platform built to layer intelligence across your existing cameras and sensors, continuously measuring OEE, labor efficiency, and cycle performance to give teams real-time, ground-truth visibility into what’s actually happening on the floor.
the problemEvery untracked inefficiency leaves money on the floor.
Most manufacturers still rely on manual observation, periodic reporting,
and siloed data to understand operational performance. As a result, critical sources of production loss often go undetected across daily operations.
Worlds continuously measures operational activity in real time so teams can identify constraints, recover capacity, and improve throughput.
WHAT WORLDS PROVIDESA continuous System of Record for how your operations actually run.
Worlds continuously measures production activity across every line, station, and shift.
Production flow, labor movement, machine interaction, and operational events become structured operational intelligence teams can understand and act on in real time.
Operational AI for manufacturingOperational intelligence becomes the foundation for identifying constraints, improving throughput, recovering capacity, and triggering workflows directly from live production data.
See it.
Track cycle time, downtime, takt adherence, and operator activity continuously.
Understand it.
Reveal bottlenecks, abnormal cycles, idle time, and OEE loss by root cause.
Act on it.
Escalate stoppages, automate workflows, and recover lost production faster.
Operational intelligence suite
Recover
Lost Production
Detect downtime, stoppages, abnormal cycles, and flow disruption before production losses compound.
Replace Manual Time Studies
Measure cycle performance and labor activity continuously across every line and operator.
Turn Downtime Into Recoverable Capacity
Identify the exact events driving OEE loss, idle time, and throughput constraints.
Build a Live Operational System of Record
Combine PLC, MES, ERP, and production activity into one operational intelligence layer.
Automate
Operational Response
Trigger escalations and workflows directly from live production activity.
Enforce Standard
Work in Real Time
Detect SOP misses, inconsistent execution, and operator variance before defects move downstream.
OEEHidden downtime was costing more than anyone realized.
A Fortune 500 manufacturer believed a critical production asset was running nearly 24 hours a day. Worlds showed where production was actually being lost — through stoppages, flow disruption, material delays, and operational interruptions across the shift.
When Worlds continuously measured machine activity, downtime, stoppages, and operational flow across the line, the team discovered the machine was only actively producing for roughly half that time.
24-HOUR OPERATION
Scheduled production window
~50% TRUE RUNTIME
Actual active production uncovered
LOSSES CLASSIFIED
Downtime tied to root causes, not assumptions
What the team uncoveredHidden downtime accumulating across the shift
Idle production time masked inside "running" operations
Flow disruption caused by forklift cycles and material staging
Changeover and handoff delays reducing throughput
Operational interruptions never captured in traditional reporting
Clear opportunities to recover measurable production capacity
Data-backed justification for line optimization and equipment investment decisions