virtauto.OS

Industrial decision intelligence for production and energy.

virtauto.OS connects production data, energy signals and operational constraints into a governed decision layer for industrial operations.

The first focus is on energy-intensive production lines: especially Body-in-White processes, SCADA/MES/ERP data and traceable recommendations based on ALLOW / HOLD / BLOCK.

Industrial AI architecture
Why virtauto?

From data to governed decisions.

1. Operational Data

Production, energy and system data from SCADA, MES and ERP become the basis for operational decisions.

2. Decision Layer

virtauto.OS evaluates constraints, risks, energy opportunities and operational admissibility.

3. Traceable Recommendation

Every recommendation remains bounded, reviewable and prepared for human approval.

First Use Case

Energy Scan for BIW production lines.

The Energy Scan analyzes production and energy data locally in the browser and shows where a line is losing energy — without data upload, without write access and without intervention in production.

Runtime Surface

Governance and runtime state are visible.

virtauto.OS exposes agent status, decision events, governance contracts and operator-review states through a dedicated Runtime Surface. The current mode is advisory-only and human-in-the-loop.