Solutions

What AI is running?

Start from the workload.

The same independent runtime layer applies to every kind of AI. What changes is the runtime risk and the right place to begin.

AI Agents & Orchestration

When agents take actions across your systems.

AI Agents · AI Orchestration

WorkloadWhat is runningAgents that call tools, query data and act on business systems — on their own or coordinated by an orchestration layer across many agents.
Runtime riskWhat can go wrongAn agent acts outside its intended scope, agents conflict with each other, or a chain of individually permitted actions adds up to an outcome nobody authorised.
Mirror OSIndependent controlMirror OS evaluates governed actions against one policy framework, outside the agent and the orchestrator, and preserves structured evidence of in-scope runtime decisions.
Start withDeploymentMirror Shield Agent Edition — For supported AI agent and AI agent orchestration deployments · Release scope in confirmationMirror Shield — For agents and AI applications already in productionMirror Runtime — When orchestration itself needs runtime control

AI Factories

AI Factories · GPU clouds · AI infrastructure

WorkloadWhat is runningLarge volumes of inference and agent workloads running for many tenants or business units on shared AI infrastructure.
Runtime riskWhat can go wrongInstability in one workload spreads across shared capacity, and unnecessary consumption of tokens, compute and energy goes unseen until it shows up as cost.
Mirror OSIndependent controlMirror OS adds an independent runtime layer across the factory’s workloads. Mirror Token applies the same foundation to consumption, evidenced against an agreed baseline.
Start withDeploymentMirror Runtime — Runtime control fitted to the factory platformMirror Foundry — For sovereign or purpose-built AI infrastructureMirror Token — Runtime efficiency · In Productization

Physical AI, Robotics & Autonomous Systems

Robotics / Physical AI · Autonomous Systems

WorkloadWhat is runningAI that perceives, plans and acts through robots, vehicles, drones or industrial equipment — often at the edge, often without a person in the loop.
Runtime riskWhat can go wrongA model’s decision is carried out by a physical platform before anyone can intervene, and afterwards there is no reliable record of why.
Mirror OSIndependent controlMirror OS adjudicates and the platform executes: authority over the AI’s decisions stays independent of the system carrying them out, with structured evidence preserved for operational review and investigation.
Start withDeploymentMirror Runtime — Embedded in edge, robotics and autonomous platformsMirror Foundry — Configured to the operator’s domain and evidence rules

Where to next

Four questions give you a recommended starting point.

The runtime layer, the control loop and the deployment components.

What AI you run, and where Mirror OS starts for it.