Physical Super Intelligence (SI): trusted AI that acts in the real world
Physical Super Intelligence (SI) is where trusted, open AI meets drones, robots and edge systems. Today, DNY builds the vendor-neutral layer that connects them: physical AI that works safely in Australian industry.
A connection layer, not a single product
The Physical SI Layer is not a drone company and not a single robotics project. It is the unified connection layer through which DNY’s Trusted & Open AI Infrastructure reaches the real world.
It links AI models, agents, data governance, identity, security and audit with real devices, and keeps everything multi-model, multi-cloud and multi-vendor so customers are never locked into a single supplier.
When AI can act, trust has to be provable
- Devices generate the data that physical-economy decisions depend on.
- Agents increasingly trigger real actions: a flight, a pick, a stop.
- Every device behaviour, data source, AI judgement and key operation can enter the trusted data and audit system.
- Vendor neutrality lets the best global hardware connect through standard interfaces.
From device to verified outcome
Every physical intelligence workflow follows the same governed path. Each hop is identity-bound and logged.
- Device
- Edge
- Trusted Data
- Model
- Agent
- Action
- Verification
Device → Edge → Trusted Data → Model → Agent → Action → Verification. Text equivalent of the diagram above for screen readers and search systems.
Perceive → Understand → Decide → Act → Verify
Perceive
Sensors, vision and drones capture the physical environment.
Sensors · Vision · DronesUnderstand
Models interpret signals against trusted, versioned data.
Models · DataDecide
AI agents plan the next action within defined permissions.
AI AgentsAct
Robots, drones and devices execute the task.
Robots · Drones · DevicesVerify
Identity, permissions, logs and audit confirm what happened.
Identity · Logs · AuditFour directions, one layer
The first devices on the layer are commercial drones, embodied robots, warehouse robots, edge devices, vision systems and autonomous systems.
Drones
Commercial aircraft and components for construction, agriculture and inspection, sourced and quoted on enquiry.
Explore RoboticsEmbodied Intelligence
Robots that perceive, reason and act in Australian industrial and service environments.
Explore Edge AI & SensorsEdge Intelligence
Local inference, vision, sensing and control close to the physical asset.
Explore Multi-device orchestrationAutonomous Operations
AI agents coordinating drones, robots and industrial systems under governed workflows.
ExploreWarehousing, automation and digital twins
Warehouse robots, automation, computer vision and digital twins integrated with WMS, ERP and sensor data, moving from pilots with defined KPIs to autonomous operations.
Logistics & WarehousingGlobal devices, standard interfaces
Advanced devices from global manufacturers connect through standard APIs, SDKs and adapters. Hardware is selected on technical maturity, Australian compliance, support and commercial sustainability, never locked to one vendor or country of origin.
Edge AI and computer vision
Edge AI runs inference on or near the device, rather than in a distant cloud, for lower latency, resilience and keeping sensitive video on site.
- Computer vision: detection, counting, defect and safety analytics from cameras and drones.
- Sensor fusion: vision, thermal, lidar and IoT signals combined into one picture.
- Local inference: open models optimised for edge hardware.
- Trusted sync: results are hashed and synced to trusted data records for audit.
Many devices, one governed workflow
AI agents coordinate drones, robots and industrial systems, with people in control of the decisions that matter.
- Task intake: a business event or schedule creates a task with a defined scope.
- Agent planning: an agent plans which devices do what, within its permissions.
- Device execution: drones, robots and systems act through standard interfaces.
- Human checkpoint: safety-critical steps wait for approval; anomalies escalate.
- Verified close-out: results and decisions are written to the audit record. How audit works
AILH: where the layer meets the physical economy at scale
AILH is a proposed large-scale industrial deployment environment and an important proof point: a practical setting for connecting open, interoperable AI with physical infrastructure, automation, robotics and supply-chain operations.
AILH is one deployment environment for the Physical SI Layer. It does not define physical AI at DNY, which spans drones, robotics, edge systems and autonomous operations across many sites.
Separate legal & economic interests
AILH and DNY remain separate legal and economic interests unless specifically agreed otherwise. Any engagement is documented through project agreements covering scope, fees, data access, IP, confidentiality, liability, service levels and commercialisation rights. Describing AILH as a deployment environment does not imply DNY ownership or control.
- Process mapping: high-cost, high-friction or high-risk workflows
- Data & systems assessment: WMS, ERP, automation, sensors, robotics
- Use-case prioritisation: value, feasibility, safety, integration
- Sandbox & pilot: measurable KPIs
- Production hardening & scale: security, monitoring, governance
Physical SI ventures
Programmes and ventures that build on the layer. Each keeps its own brand, company and business model.
Parts & Components for drones and robots
Physical SI is our long-term direction. Today we keep drones and robots working by sourcing the parts they need. Tell us the model and part number, and we source and quote it.
Drone Components
Replacement propellers, airframe parts, mounts, cases and servos, matched to your model and part number. For complete aircraft, see the drone pages.
BrowseRobotics Components
Cleaning consumables, wheels and tyres, gripper parts and KST servos for commercial and industrial robots.
BrowsePhysical SI: common questions
What is Physical AI?
Physical AI is artificial intelligence that perceives the real world through sensors, reasons about it, and acts through machines such as drones, robots and industrial equipment.
What is the Open Physical SI Layer?
It is DNY’s unified connection layer between trusted AI infrastructure and real devices. It links models, agents, data governance, identity, security and audit with drones, robots, edge devices and vision systems, while staying compatible with multiple model, cloud and hardware vendors.
Is DNY a drone company or a robotics company?
Neither on its own. Drones and robotics are directions within the Physical SI Layer. The specific drone and robotics businesses (DNY Aerial Systems and DNY Robotic Systems) are separate ventures that reuse the group’s infrastructure.
How are physical AI actions kept safe and accountable?
Every device, model and agent is bound to an identity and a set of permissions. Key decisions and actions are logged for audit, humans stay in the loop where full autonomy is inappropriate, and anomalies escalate to people.