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Engineering context for systems that act in the real world.
Explore requirements, interfaces, controlled changes and evidence through the decisions your team needs to make.
Start with physical AI.
For systems, robotics, embedded software and verification owners building embodied or autonomous hardware and software. Connect the operating environment, perception and control assumptions, hardware interfaces and tested configuration.
Use a concrete engineering question.
Which requirements change when a sensor changes? Which result supports this configuration? Who owns the interface and decides whether evidence still applies? These are the questions our physical AI guides answer with clearly labelled fictional examples.
Defence and drones are the next areas for dedicated guidance. Until their scope and evidence are reviewed, discuss your programme’s data, deployment and assurance constraints directly with Arc.
Bring one engineering change.
Evaluate Arc with a requirement, its affected interfaces and a representative evidence record. Agree scope and data handling before adding sensitive programme information. Luc will follow up to arrange setup.