Specialized robots
Specialized robots
One core module, four chassis
The same core module - control, AI and hot-swap batteries - on the chassis your terrain needs: legged, tracked, wheeled or wheel-leg.
Industries
Data and compliance in the EU. On-device, no imagery sent outside.
For many institutions, data from production halls and infrastructure is sensitive information. Our models can run locally, on-device, without sending imagery outside. With rising regulatory requirements, that stops being a technical argument and becomes a condition of purchase.

Challenges
What this industry is up against.
Compliance and auditability are a condition of the conversation, not an add-on.
Imagery and operational data must not leave the organisation or the European Union.
Public institutions expect a transparent, European supply chain.
The added value - design, software, assembly and service - should be created on site.
How we help
How POLCERO answers those challenges.
Perception and inference run locally; data and compliance stay in the European Union.
A plant in Kietrz and Polish suppliers for most components - control over the supply chain.
Photonic computing accelerates AI inference at lower power draw.
POWER INFRASTRUCTURE
For public installations, both power and data stay on site. Fixed infrastructure runs off the local grid through cable or rail; mobile inspection and patrol robots run on hot-swap packs — and, like the models, nothing has to leave the premises.
Stationary machines and charging docks run off the building grid via cable or fixed rail.
Inspection and patrol robots stay autonomous on three hot-swap packs, swapped at a local dock.
Power, charging and on-device inference all live on the premises — no dependency sent outside.
The POLCERO branches we most often deploy in this industry.
Specialized robots
One core module, four chassis
The same core module - control, AI and hot-swap batteries - on the chassis your terrain needs: legged, tracked, wheeled or wheel-leg.
Software
The AI brain that learns by demonstration
The core module with the AI layer: control, perception and planning. The robot learns by demonstration - an operator performs the task, the system understands and acts autonomously, cutting programming time up to tenfold.
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