AI agents coordinating drones, robots and industrial systems under governed workflows — with people in control of the decisions that matter.
A business event or schedule creates a task with a defined scope.
An AI agent plans which devices do what, within its permissions.
Drones, robots and systems carry out their parts through standard interfaces.
Safety-critical or unusual steps wait for human approval; anomalies escalate.
Results, evidence and decisions are written to the audit record.
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.
Embodied 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 ventureCommercial 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 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.
An AI agent is software that uses an AI model to plan and carry out multi-step tasks — calling tools, systems or devices — rather than only answering a single prompt.
Agents run under defined identities and permissions, with human oversight and escalation for decisions where full autonomy is inappropriate, and with their actions recorded for audit.