A warehouse is a flow problem that never sleeps. Intelligent machines give it a memory, a plan and the discipline to keep both.
A warehouse is a flow problem that never sleeps, run by machines that do not talk to each other.
Most large operations run fleets from three or four manufacturers, each with its own map, its own priorities and its own idea of who owns the aisle. Peak season arrives, the plan changes mid shift, and the people on the floor absorb the difference.
The flow data that would fix this, every pick, mispick and near miss, is scattered across vendor portals. It describes the business precisely, and the business does not hold it.
One operating layer above the brands, on the operator's infrastructure.
Machine OS sits above the equipment vendors and coordinates the whole fleet as one system: shared maps, shared traffic rules, one set of priorities. Machine Autonomy handles the mobile robots, tugs and yard vehicles that share floors with people, with conservative behaviour near them and the authority for any supervisor to redirect any machine at once.
Foundation resolves inventory, orders and movements into one true record. The Machine Data Engine turns peak seasons and exceptions into the training set for the next one. It all runs on infrastructure in the operator's buildings, under the operator's keys.
Throughput without chaos, and a flow record that stays in the building.
Fleets that plan together move more with fewer conflicts and keep moving when the plan changes. The control room sees every moving machine and the reasons behind its route. What moves through the buildings stays the operator's, to price, plan and defend.
Realloc tracks what the change does to the workforce, so the operation can show that intelligence promoted its people into supervision and planning rather than removing them. That evidence is part of the deployment, not an afterthought.
Fleets that plan together move more with fewer conflicts, and keep moving when the plan changes mid shift.
Intelligence that sits above the equipment brands, so the operation is never hostage to any one of them.
What moves through your buildings describes your business. It is not a dataset for someone else to sell.
The questions we hear first.
What is fleet orchestration in a warehouse?
It is the coordination of many autonomous machines as one system: shared maps, shared priorities and traffic rules, so machines cooperate instead of competing for the same aisle.
How do autonomous warehouse machines work safely around people?
Through layered perception, conservative behaviour near people, strict speed and distance rules, and the ability for any supervisor to stop or redirect a machine instantly.
Can one platform manage robots from different manufacturers?
That is the whole point of an operating layer. It abstracts the differences between vendors so the operation sets the rules once and every machine follows them.