01 — Automotive final assembly
Torque and alignment drift on fastening cells is often invisible until a downstream defect shows up in quality — sometimes thousands of units later.
Opi Robotics watches fastening force curves and alignment tolerances cell-by-cell, flagging drift against the cell’s own baseline rather than a fixed OEM spec.
A tier-1 supplier running door-module assembly cut downstream torque-related rework by identifying drift an average of 6 shifts before it reached quality control.
02 — Warehousing & logistics
Mixed AMR fleets and conveyor junctions are hard to coordinate safely at scale, and near-misses rarely get logged until there’s a collision.
A shared spatial model gives every AMR and fixed conveyor junction the same live read of congestion and blocked paths, rather than each robot reasoning alone.
One regional fulfillment site reduced AMR idle-routing time by 19% and cut logged near-miss events by more than half within the first quarter.
03 — Food & beverage lines
Bearing and seal wear on high-speed fillers and packaging lines tends to fail suddenly, often mid-shift, with expensive cleanup and changeover cost.
Vibration and thermal sensing on rotating components builds a wear curve per asset, with lead time on failure typically measured in weeks, not hours.
A beverage co-packer moved from reactive to scheduled bearing replacement, avoiding an estimated 3–4 unplanned line stops per quarter.
04 — Heavy equipment yards
Mixed-age fleets of loaders and excavators are expensive to retrofit with OEM telematics, and structural stress patterns vary heavily by operator.
Opi Robotics’s sensor-agnostic perception layer reads structural and hydraulic stress patterns from retrofit sensors, without requiring OEM-specific hardware.
A yard operator with a 40-unit mixed fleet extended average maintenance intervals by 22% after establishing per-unit stress baselines.