To build the operating system of the autonomous factory.

People and factory, in symbiosis.

When people hear "autonomous factory", many picture a lights-out plant with nobody inside. That is not what we are after. We will not replace people: we will make people and the factory work together.

The first to notice that something is wrong is whoever is standing in front of the problem. That perception is the richest sensor in industry, and it is almost always lost. To us, autonomy is the factory and its people responding to each other:

• Expand: extend what each person perceives, and show what they could not see alone.
• Adjust: adjustment runs both ways. The factory calculates the capacity of people and equipment and sets its pace; people understand the risks and set theirs. Both, to prevent accidents or losses, and to keep a continuous, optimized production flow.
• Give back: the factory gives decision-makers a clear reading of the place, the risk and what to do first.

Accident or stoppage: the same logic of loss.

An accident is the ultimate loss: it injures a person and also stops the flow. A stoppage is the material loss: the line that halts, the truck that waits, the ship that is not loaded. Avoiding accidents or stoppages is the core purpose of any operation seeking maximum efficiency.

• On the assembly line, a badly seated O-ring that nobody records becomes, weeks later, a held batch and a stopped line.
• In continuous logistics, a queue at the scale, a clogged chute, a loader waiting: small signals that add up to lost machine hours.
• In the same yard, a loader entering the bay while the truck is still tipping is both a near miss and a potential stoppage.

Why now.

When factories replaced steam with electricity, productivity barely moved for decades: they had swapped the engine and kept the line shafts and belts. Industry is living its dynamo moment. Artificial intelligence is being bolted onto methods from the 1980s. The tools changed; the methods didn't. What was missing was not technology: it was redesigning the method around it.

The foundations.

• Risk is centered on the person. The hazard lives in the place; the risk depends on who interacts with it. An open manhole behind a hedge carries almost no risk; the same manhole in the middle of the road is serious.
• The base of the pyramid, finally recorded. For every serious accident there are hundreds of near misses and unsafe conditions (Bird, 1969). The same holds for stoppages. When perception becomes a record in seconds, the base starts to exist, and it is the base that warns you first.
• Risk read where it forms. Every record is a signal at the exact spot where it happened, weighed by the context of that place. Where severity concentrates, the cloud darkens.
• The control chart, in every dimension. None of this is a new concept: it is Shewhart's control chart, proven for a century, applied at once to safety, quality, production and logistics. The goal is to keep the operation in dynamic balance, at its point of highest efficiency and safety.
• The cycle industry already knows. Safety reads it as Record, Anticipate, Alert and Verify; quality recognizes the same PDCA running through DMAIC, all the way to verifying that the fix prevented recurrence (clause 10.2 of ISO 9001 and ISO 45001).

Where we are.

The method behind our maps has been applied in more than 30 steel and mining operations, over more than 25 years of the founder's work. Our first complete solution, MapOmega Core, went through its proof of concept at Samarco's Germano Mine. Voice-based event recording is launching now; risk analysis and recurrence verification are in development on the same map.