Mindgraph Super Intelligence

Physical AI

Physical AI you can trust where failure is not an option.

AI is moving from screens into the physical world — ports, airfields, power plants, mines and chemical stores. Mindgraph Super Intelligence makes that move assured: supervised, certified and auditable from the first pilot to full autonomy.

Focus
Critical infrastructure
Autonomy
Graduated, L0 → L4
Safety
Human handover + safe state
Evidence
Audit-ready by design

The premise

When AI controls machines, the stakes are physical.

In critical infrastructure a wrong decision is not a wrong answer — it is an incident. Physical AI combines perception, reasoning and robotic action, and each step needs proof it is safe before it is trusted.

We do not build the robots. We provide the trust layer around them: testing, enforcement, supervised autonomy and certification, so operators, regulators and insurers can say yes.

The physical AI loop

Sense, understand, decide, act — and prove it.

01SenseCameras, lidar, radar and industrial sensors build a live picture of the site.
02UnderstandVision-language-action models interpret the scene and the task in context.
03DecidePlans are checked against site policy, safety cases and regulation before any motion.
04ActRobots, vehicles and machines execute within a certified operating envelope.
05AssureEvery decision and action is recorded, tested and fed back into certification.

Physical AI adviser

Turn an operational challenge into a deployment approach.

Describe the site, task and constraints. The adviser will outline a high-level Physical AI pattern spanning sensing, autonomous action, assurance, human control and a staged pilot.

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Advisory output

A deployment pattern grounded in your operating reality.

The adviser will map the challenge across perception, decision, machine action, assurance and human oversight.

01

Sense

02

Decide

03

Act

04

Assure

Critical industries

Built for the sites a nation depends on.

Maritime

Seaports

Terminals, berths and yard operations

  • Autonomous yard vehicles, cranes and container handling
  • Vessel, berth and gate flow coordinated as one system
  • Hazardous-cargo awareness and exclusion zones
  • Human and machine traffic kept safely separated
Aviation

Airports

Airside, baggage and ground operations

  • Ground support vehicles and baggage automation
  • Apron and runway safety with real-time hazard detection
  • Inspection robots for facilities and airfield assets
  • Strict handover to controllers on any anomaly
Energy

Energy

Generation, grids, pipelines and plants

  • Autonomous inspection of substations, turbines and pipelines
  • Predictive maintenance from sensor and vision signals
  • Operation in explosive and high-voltage environments
  • Safe-state rollback tied to plant safety systems
Supply security

Critical minerals

Mines, processing and storage

  • Autonomous haulage, sorting and material tracking
  • Chain-of-custody evidence for strategic inventory
  • Remote and hazardous sites with minimal human exposure
  • Theft, diversion and tamper detection
Hazmat

Critical chemical warehouses

Storage, handling and dispatch

  • Robotic picking and movement of hazardous materials
  • Compatibility and segregation rules enforced before every move
  • Leak, fire and atmosphere sensing with automatic response
  • Full audit trail for regulators and insurers
And beyond

Other critical sites

Rail, water, telecom, logistics hubs

  • Same assurance model applied to any safety-critical facility
  • Reusable certified runbooks across sites and operators
  • Portable autonomy levels from pilot to full operation
  • One governance view across a multi-site estate

How we assure it

The full Mindgraph stack, applied to machines.

Assure

Assured before it moves

AI Assurance Stack for the physical world

  • Simulation and digital-twin testing of edge cases before deployment
  • Adversarial, sensor-spoofing and cyber-physical security testing
  • Drift monitoring as sites, equipment and weather change
  • Evidence packs aligned to safety and regulatory expectations
Supervise

Supervised while it moves

AI Cruise and Matron on the ground

  • Graduated autonomy levels per zone, task and risk class
  • Live guardrails on speed, force, geofence and payload
  • Instant handover to a named operator with full context
  • Emergency stop and safe-state rollback at any level
Enforce

Enforced at the point of action

Commit-layer control for machines

  • Every machine command validated against live policy before execution
  • Dual control for irreversible or high-consequence actions
  • Permit-to-work and hazardous-area rules built in
  • Tamper-evident audit chain for incident replay
Certify

Certified as it improves

Recursive Super Intelligence Assurance

  • Every model or behaviour update re-tested and re-certified
  • Lineage and AI Passport for each robot, model and runbook version
  • Human approval gates on self-improvement steps
  • Fleet-wide rollback if a release degrades safety

Next steps

Bring your hardest AI system. We will assure it.

Technical deep-dive on your live agents, an 8–12 week pilot with agreed success metrics, and partnership or investment conversations.

Request a briefingExplore the architecture