Glossary
Glossary: the terms we use, in plain language
Short definitions of the technical terms used across this website. Each links to the page where the topic is explained in full.
- Trusted AI
- AI whose data sources, model versions, permissions and actions can be verified, traced and audited. Read more
- Open Source AI
- AI released with the freedom to use, study, modify and share it, including access to the preferred form for modification. Read more
- Open-weight model
- A model whose trained weights are published for use, but whose licence, training data or modification rights may be more restricted than open source. Read more
- Source-available
- Code or weights that can be viewed or used under specific conditions, which may limit commercial use or redistribution. Read more
- Trusted Data Space
- A governed environment where data is shared under recorded provenance, versions, licences and permissions, so parties can collaborate without losing control of their data. Read more
- Data provenance
- The verifiable record of where data came from, who created it, when, and how it has changed. Read more
- AI Agent
- Software that uses an AI model to plan and carry out multi-step tasks by calling tools, systems or devices. Read more
- Human oversight
- Keeping a person able to review, approve or override AI decisions where full autonomy is inappropriate or unsafe. Read more
- Physical AI
- AI that perceives the real world through sensors, reasons about it and acts through machines such as drones, robots and industrial equipment. Read more
- Open Physical Intelligence Layer
- DNY’s vendor-neutral connection layer that links trusted AI infrastructure — models, agents, identity and audit — with drones, robots, edge devices and real assets. Read more
- Embodied AI
- AI that operates through a physical body, such as a robot, so it can perceive, reason and act in its surroundings. Read more
- Commercial drone systems
- Uncrewed aircraft, sensors and software used for inspection, mapping, sensing and industrial data capture in commercial and government operations. Read more
- Edge AI
- Running AI inference on or near the device or asset, rather than in a distant cloud, for lower latency, resilience and data control. Read more
- Autonomous operations
- Multiple devices — drones, robots and industrial systems — coordinated by AI agents under governed workflows with human escalation. Read more
- Digital twin
- A live digital model of a physical asset, site or process, updated from real-world data and used to monitor, predict and plan. Read more
- OPC (Office + AI Agents)
- A local business node that combines a workspace, AI agent capabilities and market connections so small teams can deliver like larger organisations. Read more
- FDE (Forward Deployed Entrepreneur)
- A delivery role that works directly on a real customer problem in the field, taking a solution from proof of concept to deployment. Read more
- AI transaction readiness
- Architecture and interfaces that prepare for AI agents and machines to request, verify and settle services with each other. Read more
- AILH
- A proposed large-scale industrial deployment environment in Sydney, used as a physical-economy proof point for trusted, open AI. It is a separate interest from DNY, not owned or controlled by DNY. Read more