AI’s next stage is not only generating content. It is perceiving real environments, making decisions and carrying out actions. The Open Physical Intelligence Layer is how DNY extends trusted, open AI infrastructure into the physical economy.
The Physical Intelligence 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.
Every physical intelligence workflow follows the same governed path. Each hop is identity-bound and logged.
Device → Edge → Trusted Data → Model → Agent → Action → Verification. Text equivalent of the diagram above for screen readers and search systems.
Sensors, vision and drones capture the physical environment.
Sensors · Vision · DronesModels interpret signals against trusted, versioned data.
Models · DataAI agents plan the next action within defined permissions.
AI AgentsRobots, drones and devices execute the task.
Robots · Drones · DevicesIdentity, permissions, logs and audit confirm what happened.
Identity · Logs · AuditThe first devices on the layer are commercial drones, embodied robots, warehouse robots, edge devices, vision systems and autonomous systems.
Autonomous aerial inspection, sensing, mapping and industrial data capture.
Explore RoboticsRobots that perceive, reason and act in Australian industrial and service environments.
Explore Edge AI & SensorsLocal inference, vision, sensing and control close to the physical asset.
Explore Multi-device orchestrationAI agents coordinating drones, robots and industrial systems under governed workflows.
ExploreWarehouse robots, automation, computer vision and digital twins integrated with WMS, ERP and sensor data — moving from pilots with defined KPIs to autonomous operations.
Logistics & WarehousingAdvanced 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.
Physical actions carry physical consequences. Every device, model and agent operates under a verified identity and explicit permissions; key decisions are logged; humans stay in the loop where full autonomy is inappropriate; anomalies escalate to people; and operations follow applicable Australian regulation.
Where data came from, when, which version, and under what licence.
Which person, agent, model or device is acting — verified, not assumed.
What that identity is authorised to read, decide or execute.
A tamper-evident record of inputs, decisions, actions and outcomes.
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 Intelligence Layer — it does not define Physical AI at DNY, which spans drones, robotics, edge systems and autonomous operations across many sites.
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.
Programmes and ventures that build on the layer. Each keeps its own brand, company and business model.
Commercial drone systems for government, infrastructure and enterprise — aircraft and component supply, Australian systems integration and lifecycle support.
On DNY infrastructure: Inspection, vision and sensor data flows into the Trusted Data Space; computer vision and AI agents produce analysis, tasks and reports; device identity, mission permissions and key decisions are recorded for audit.
View ventureEmbodied and autonomous systems for Australian industrial, logistics and service environments, built on DNY’s trusted open AI and physical intelligence infrastructure.
On DNY infrastructure: Robots connect through the Physical Intelligence Layer: models and agents decide, robots act, and every action is bound to an identity, a permission and an audit record.
View ventureA physical showcase, testing ground and Australian market-entry environment for advanced global robotics and AI hardware — demonstration, validation, B2B and education.
On DNY infrastructure: A physical validation environment where global robots and AI hardware are integrated with DNY’s open model layer and tested before Australian deployment.
View ventureA smart, robotics-driven fulfilment warehouse for cross-border small-goods e-commerce — WMS, OMS and TMS with AI vision quality checks and robotics-assisted picking.
On DNY infrastructure: Combines the Physical Intelligence Layer with enterprise integration and agents; operational data is governed in the Trusted Data Space.
View venturePhysical 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.
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.
Neither on its own. Drones and robotics are directions within the Physical Intelligence Layer. Specific drone and robotics businesses, such as DNY Aerial Systems and DNY Robotic Systems, are separate ventures that reuse the group’s infrastructure.
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.
Inspection, warehousing, robotics or multi-device operations — talk to us about a governed pilot.