Autonomy past the shift change.

Autonomous-haul orchestration

Cat MineStar Command for hauling has been in commercial deployment for over a decade. Komatsu Frontrunner and Sandvik AutoMine cover similar ground. Ipnops Industry sits above the OEM autonomy layer, orchestrates fleet dispatch + shift handoff + preventive-service windows, integrates with mining-execution and mine-planning systems, and provides a unified ops picture for mixed-vendor fleets (Caterpillar adapted Cat autonomous tech for the Komatsu 930E precisely because operators want this).

Fleet telematics + asset health

CAT VisionLink, Komatsu KOMTRAX, John Deere TimberManager, Volvo CareTrack — vendor telematics ingested into a unified asset graph. TimesFM forecasts fluid temperatures, vibration trends, and remaining-useful-life on rotating components. Predictive maintenance triggers shop visits before the failure happens, reclaiming uptime that's measured in shifts, not minutes.

Mining + construction

The mobile-mining-equipment market is growing from $75B in 2026 to a projected $97.5B by 2030 — driven by autonomous-fleet investment, emission reduction, and smart-mining initiatives. Construction is following the same curve at a lag. Ipnops Industry provides the intelligence layer above the OEM autonomy stack so the operator's view doesn't fragment by vendor.

Forestry harvesters + forwarders

Ponsse Opti 5G, John Deere TimberMatic, Komatsu Forest Machine Control — control systems already integrate GPS, telematics, and analytics. Ipnops Industry adds the cross-fleet intelligence layer: which harvesters need preventive servicing first, which forest blocks are highest-yield given current weather, where the bottlenecks are between cut and forwarding.

Marine + rail

Heavy-marine assets (dredgers, port cranes, tugs) and rail (locomotives, MOW equipment) increasingly look like the mining/construction telemetry pattern. The platform abstracts these into the same asset graph and runs the same predictive-maintenance + dispatch-optimisation stack across them.

Operator + remote-supervision UX

Heavy machinery typically retains a human in the supervisory loop, not the cab. The platform's UX is designed for the supervisor: concurrent fleet view, anomaly triage, route adjustment, scheduled preventive-service injection, and a replay of every dispatch decision the autonomy layer made.