full autonomy, at every level.
Heavy industry runs on decisions made every second: which truck moves, which ladle gets dispatched, which station gets the part. Those decisions define yield, safety and cost. We build the intelligence that runs the operation, and the machine that executes it.
Most industrial software gives you a better view of the problem. Quantillion gives you the decision. We fit our technology to your operation, instead of asking the operation to change for the technology.
Every product in the stack is built to integrate with the others. Polaris decides, Compass dispatches, Scout drives. The loop closes without human intervention, and without middleware, integration projects or consultants.
The reinforcement learning engine behind every dispatch decision. It runs continuously, simulating hundreds of outcomes every second and choosing the sequence that keeps the operation moving, before the floor feels the impact.
Learn more → Management levelOrder and transport management, closed loop, from the moment a task enters the system to the last metre on the floor. Every order, vehicle and area managed in real time, with operators in control.
Learn more → Machine levelAn agnostic autonomy kit for the vehicles you already run. It maps the site itself and drives without reflectors, without GPS and without touching your infrastructure.
Learn more →Founded in Amsterdam with a single aim: real autonomy for the operations that run heavy industry. Everything since has been built on live sites, not in a lab.
Established in Amsterdam with one goal: real autonomy for the operations that run heavy industry.
The first reinforcement learning system deployed in an active industrial operation. Not a demo: a live site.
Closed-loop order and transport management, integrated into the intelligence stack.
Autonomous vehicle retrofit for industrial environments. No reflectors, no GPS, no site modifications.
The reinforcement learning engine that now sits behind every decision in the stack, running continuously, ahead of the disruption.
They decide what we build, and what we refuse to build.
Autonomy takes work off people, it does not take people out of the operation.
If autonomy needs the site to change first, it is not autonomy.
One system, many machines, many sites.
Autonomy has to pay for itself in the numbers the operation already tracks.
The next decade of industrial AI will be won by the systems that get used, not the ones that are theoretically best.Quantillion