# DNY Cross Border Group — complete site content > DNY Cross Border Group is an Australia-led technology and commercialisation group building trusted, open AI infrastructure and connecting it with the physical economy. Source: https://dnycrossbordergroup.com · Last updated: 2026-10-01 · Language: English (Australia) ## Key facts - **Name:** DNY Cross Border Group (also referred to as DNY, DNY Group, DNY Cross Border) - **What it is:** DNY Cross Border Group is an Australia-led technology and commercialisation group building trusted, open AI infrastructure and connecting it with the physical economy. - **Headquarters:** 1 Sussex St, Barangaroo NSW 2000, Australia (Sydney) - **Markets:** Australia first; New Zealand (Auckland) as the next network node; global technology partners - **Group structure:** Group holding layer → Trusted & Open AI Infrastructure → Open Physical Intelligence Layer → OPC + FDE delivery network → Applied Ventures - **Core focus:** Trusted AI, open-source and open-weight AI, AI agents, physical AI (commercial drones, embodied robotics, edge AI, autonomous systems), industry deployment - **Industries:** Built environment; logistics and warehousing; cross-border trade; enterprise and professional services; future verticals (mining, agriculture, utilities, health and ageing) - **Drone venture:** DNY Aerial Systems — commercial drone systems, In Development - **Robotics venture:** DNY Robotic Systems — embodied and autonomous systems, In Development - **Number of ventures:** 12, all currently In Development - **What DNY does not do:** DNY does not train its own frontier foundation model, does not manufacture aircraft, and is not a co-working operator - **Vendor stance:** Multi-model, multi-cloud and multi-hardware; no dependency on a single supplier or country of origin - **Contact:** info@dnycrossbordergroup.com · https://dnycrossbordergroup.com/contact - **Website:** https://dnycrossbordergroup.com ## Group architecture (five layers) 1. **Trusted Data, Identity & Verification Foundation** — What makes every layer verifiable. A Trusted Data Space with provenance, permissions, versioning, identity and audit — so data, models, devices and decisions can be traced and verified. (https://dnycrossbordergroup.com/ai-infrastructure/data-space) 2. **Trusted & Open AI Infrastructure** — Digital intelligence infrastructure. Open models, AI agents, APIs and private or hybrid deployment — multi-model, multi-cloud and licence-aware, operated as an accountable Australian service. (https://dnycrossbordergroup.com/ai-infrastructure) 3. **Open Physical Intelligence Layer** — Connecting AI to the physical world. The unified connection layer between trusted AI and real devices — drones, robots, edge systems, vision and sensor networks — vendor-neutral and auditable. (https://dnycrossbordergroup.com/physical-intelligence) 4. **OPC + FDE Network** — Talent, nodes and industry delivery. Local OPC nodes (Office + AI Agents) and Forward Deployed Entrepreneurs that turn infrastructure into real industry solutions — from proof of concept to deployment. (https://dnycrossbordergroup.com/opc-fde) 5. **Applied Ventures & Industry Solutions** — Independent ventures and industry projects. Focused ventures and industry projects — drones, robotics, logistics, construction, trade and media — each with its own customers and business model, built on shared group infrastructure. (https://dnycrossbordergroup.com/ventures) ### Group hierarchy - **Group — DNY Cross Border Group:** Group strategy and holding layer. Scope: Strategy, capital, brand, partnerships, governance and international markets. - **Layers 1–2 — Trusted & Open AI Infrastructure:** Digital intelligence infrastructure. Scope: Trusted Data Space, open models, identity, audit, APIs, agents and transaction readiness. - **Layer 3 — Open Physical Intelligence Layer:** Physical intelligence connecting AI to the real world. Scope: Drones, robotics, edge devices, vision systems, autonomous systems and sensor networks. - **Layer 4 — OPC + FDE Network:** Talent, node and industry delivery network. Scope: Office + AI Agents, Forward Deployed Entrepreneurs, training, incubation and solution delivery. - **Layer 5 — Applied Ventures & Industry Projects:** Independent ventures and industry companies. Scope: Drones, robotics, logistics and warehousing, construction, trade, media and future verticals. ## Trusted & Open AI Infrastructure Page: https://dnycrossbordergroup.com/ai-infrastructure - **Trusted Data Space:** Data source, permission, version, authorisation, audit and data sovereignty. (https://dnycrossbordergroup.com/ai-infrastructure/data-space) - **Open Model Layer:** Clear distinction between open-source, open-weight and source-available models — multi-model and licence-aware. (https://dnycrossbordergroup.com/open-source-ai) - **Deployment & Integration:** APIs, private and hybrid deployment, identity and enterprise system integration. (https://dnycrossbordergroup.com/ai-infrastructure/deployment) - **AI Agents & Automation:** Agent orchestration, human oversight and governed workflow execution. (https://dnycrossbordergroup.com/ai-infrastructure/agents) - **Trust, Identity & Audit:** Trusted identity, action authorisation, model and data provenance, and audit. (https://dnycrossbordergroup.com/ai-infrastructure/identity-audit) - **AI Transaction Readiness:** Interfaces and architecture prepared for future AI-to-AI and machine-to-machine service settlement. (https://dnycrossbordergroup.com/ai-infrastructure/transactions) ### Trust model - **Data provenance:** Where data came from, when, which version, and under what licence. - **Identity:** Which person, agent, model or device is acting — verified, not assumed. - **Permission:** What that identity is authorised to read, decide or execute. - **Audit:** A tamper-evident record of inputs, decisions, actions and outcomes. ## Open Physical Intelligence Layer Page: https://dnycrossbordergroup.com/physical-intelligence The Open Physical Intelligence Layer is not a drone company and not a single robotics project. It is the unified, vendor-neutral connection layer through which DNY’s trusted AI infrastructure reaches drones, robots, edge systems and real assets. Reference architecture: Device → Edge → Trusted Data → Model → Agent → Action → Verification. Capability loop: 1. **Perceive** — Sensors, vision and drones capture the physical environment. 2. **Understand** — Models interpret signals against trusted, versioned data. 3. **Decide** — AI agents plan the next action within defined permissions. 4. **Act** — Robots, drones and devices execute the task. 5. **Verify** — Identity, permissions, logs and audit confirm what happened. Sub-layers: - **Air Intelligence (Commercial Drone Systems):** Autonomous aerial inspection, sensing, mapping and industrial data capture. (https://dnycrossbordergroup.com/physical-intelligence/drones) - **Embodied Intelligence (Robotics):** Robots that perceive, reason and act in Australian industrial and service environments. (https://dnycrossbordergroup.com/physical-intelligence/robotics) - **Edge Intelligence (Edge AI & Sensors):** Local inference, vision, sensing and control close to the physical asset. (https://dnycrossbordergroup.com/physical-intelligence/edge-ai) - **Autonomous Operations (Multi-device orchestration):** AI agents coordinating drones, robots and industrial systems under governed workflows. (https://dnycrossbordergroup.com/physical-intelligence/autonomous-systems) AILH is a proposed large-scale industrial deployment environment used as a physical-economy proof point. It is a separate legal and economic interest, not owned or controlled by DNY. ## Topic pages ### Commercial drones: Air Intelligence URL: https://dnycrossbordergroup.com/physical-intelligence/drones **Commercial drone systems:** Uncrewed aircraft, sensors and software used for inspection, mapping, sensing and industrial data capture in commercial and government operations. Autonomous aerial inspection, sensing, mapping and industrial data capture — connected to trusted AI so that what a drone sees becomes verified, actionable information. **DNY is not a drone company — drones are one direction of the layer.** The commercial drone programme is the first industry programme under Physical Intelligence. It can operate as an independent brand and company while reusing group infrastructure. - DNY Group: Strategy, platform, trusted infrastructure, ecosystem and capital. - Physical Intelligence Layer: The unified connection between devices and AI. - Drone venture: Products, services, customers, operations and revenue — DNY Aerial Systems. **From flight to verified report.** - Data return: Inspection, vision and sensor data flows into the Trusted Data Space with source, time and device identity. - AI processing: Computer vision and AI agents generate analysis, tasks, reports and anomaly handling. - Trusted record: Models, data, device identity, mission permissions and key judgements are recorded for audit. **What Air Intelligence covers.** - Aerial inspection: Infrastructure, facades, roofs, utilities and industrial assets. - Mapping & survey: Photogrammetry and site models for construction and asset management. - Environmental sensing: Thermal, multispectral and environmental payloads. - Industrial data capture: Repeatable missions that feed digital twins and maintenance systems. Use cases: Infrastructure and utility asset inspection; Construction progress and facade inspection; Mapping and survey for project and asset records; Yard, stockpile and inventory counts; Emergency and environmental assessment support. Boundaries: DNY Aerial Systems is In Development; no products, contracts or approvals are implied. Operations will be subject to Civil Aviation Safety Authority (CASA) requirements and customer authorisations. Aircraft are sourced on a multi-vendor basis; DNY does not claim to manufacture aircraft. ### Embodied robotics: Embodied Intelligence URL: https://dnycrossbordergroup.com/physical-intelligence/robotics **Embodied AI:** AI that operates through a physical body, such as a robot, so it can perceive, reason and act in its surroundings. Robots that perceive, reason and act in Australian industrial, logistics and service environments — built on DNY’s trusted open AI and physical intelligence infrastructure. **Embodied intelligence at DNY.** In this first phase DNY presents long-term positioning and development directions rather than specific products. - DNY Robotic Systems: Embodied and autonomous systems for industrial, logistics and service environments. - Robotics Experience & Innovation Centre: Demonstration, validation and market entry for advanced global robots. - AI Robotic Logistics Warehouse: Warehouse robotics integrated with WMS and ERP. Use cases: Warehouse picking, transport and inventory; Inspection and patrol in industrial sites; Service robotics in hospitality, aged care and healthcare settings; Demonstration and validation before Australian deployment. Boundaries: DNY Robotic Systems is In Development; specific robot products are not yet announced. Robots are sourced and integrated on a global, multi-vendor basis. Deployments follow applicable work health and safety requirements and site risk assessments. ### Edge AI and computer vision: Edge Intelligence URL: https://dnycrossbordergroup.com/physical-intelligence/edge-ai **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. Local inference, vision, sensing and control close to the physical asset — for low latency, resilience and data control. **What runs at the edge.** - Computer vision: Detection, counting, defect and safety analytics from cameras and drones. - Sensor fusion: Combining vision, thermal, lidar and IoT signals into one picture. - Local inference: Open models optimised to run on edge hardware. - Device control: Closing the loop with machines, under permissions. **Edge first, trusted always.** - Sensor → Edge inference → Local action → Hash & sync → Trusted Data Space → Audit Use cases: Vision-based quality and safety checks; Inventory and asset counting; On-site inference where connectivity is limited; Keeping sensitive video on premises. Boundaries: Edge hardware is selected per site on a multi-vendor basis. Model choice depends on licence review and on-device performance. ### Autonomous systems: multi-device operations URL: https://dnycrossbordergroup.com/physical-intelligence/autonomous-systems **Autonomous operations:** Multiple devices — drones, robots and industrial systems — coordinated by AI agents under governed workflows with human escalation. AI agents coordinating drones, robots and industrial systems under governed workflows — with people in control of the decisions that matter. **How multi-device operations run.** - Task intake: A business event or schedule creates a task with a defined scope. - Agent planning: An AI agent plans which devices do what, within its permissions. - Device execution: Drones, robots and systems carry out their parts through standard interfaces. - Human checkpoint: Safety-critical or unusual steps wait for human approval; anomalies escalate. - Verified close-out: Results, evidence and decisions are written to the audit record. Use cases: Coordinated drone and ground-robot inspection; Warehouse fleets working with WMS; Site monitoring with automated escalation; Scheduled data capture feeding digital twins. Boundaries: Full autonomy is not applied where it is inappropriate or unsafe. Autonomy levels are set per site and per task in agreement with the operator. ### Trusted Data Space: provenance, permission and sovereignty URL: https://dnycrossbordergroup.com/ai-infrastructure/data-space **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. The foundation every other layer builds on: data whose source, version, licence and permissions are recorded and can be verified. **Six properties of trusted data.** - Source: Who created the data and where it came from. - Version: Which version, and its modification history. - Permission: Who may access it, for which purpose. - Authorisation: Whether use for AI processing or training was granted. - Audit: Every access and model call that touched it. - Sovereignty: Where it is stored and under which jurisdiction. **A hybrid architecture.** Original business data, documents and model materials stay in secure databases or cloud environments that meet privacy and business requirements. For critical data, a unique hash, version, timestamp, source, authorisation status and verification record are kept — enabling integrity checks and long-term traceability without moving the data itself. Hashing, digital signatures, trusted timestamps and distributed ledgers are technology options for verification, not the platform’s identity. Use cases: Building-product and certification records; Supply-chain and trade documents; Device and inspection data from the physical layer; Grounding AI retrieval and agents in verified sources. Boundaries: Customer data is not a platform asset because it is processed; ownership, processing and training permissions are defined by contract. DNY does not publish companies’ commercial data — access is tiered and authorised. ### AI agents and automation, with human oversight URL: https://dnycrossbordergroup.com/ai-infrastructure/agents **AI Agent:** Software that uses an AI model to plan and carry out multi-step tasks by calling tools, systems or devices. Agents that plan and carry out multi-step work — orchestrated, permissioned and recorded, with people in the loop where it matters. **From single tasks to orchestrated workflows.** - Agent orchestration: Multiple agents and tools coordinated across a workflow. - Human oversight: Approval, review and escalation where full autonomy is inappropriate. - Workflow execution: Integration with enterprise systems, APIs and devices. - Evaluation: Agents tested and licence-checked before production use. Use cases: Document and back-office automation; Knowledge assistants over internal data; Trade and procurement workflows; Coordinating drones and robots in the physical layer. Boundaries: Agents act only within explicitly granted permissions. High-impact decisions keep a human approval step. ### Deployment and integration: one accountable partner URL: https://dnycrossbordergroup.com/ai-infrastructure/deployment **Private / hybrid AI deployment:** Running AI models and agents inside an organisation’s own environment, or across its environment and the cloud, so that sensitive data stays under its control. API-first integration with enterprise data and systems, deployed in the cloud, privately or in hybrid environments — and operated as a managed service. **Evaluate → integrate → deploy → govern → operate.** - Evaluate: Select suitable open models, review licences and assess capability, cost and safety before production. - Integrate: Connect to enterprise data, APIs and tools with identity, access and clear data separation. - Deploy: Cloud, private or hybrid deployment where the data needs to live, using reference architectures. - Govern: Provenance, audit logging, human oversight and a model licence and standards register. - Operate: Monitoring, support, incident handling and continuous improvement as a managed service. **Data and IP, handled properly.** - Each party keeps existing IP; new data, derived results and joint work are assigned by specific agreement. - Customer data is not a platform asset because it is processed. - Escalation and review where full autonomy is inappropriate or unsafe. - Standardised interfaces: APIs, data dictionaries and unified identifiers. Use cases: Private AI assistants on internal knowledge; Integrating agents with ERP, WMS and CRM systems; Hybrid deployment for regulated data; APIs for partners and developers. Boundaries: Deployment options depend on model licences and customer infrastructure. Developer and API documentation is shared with partners on request. ### Identity and audit: who did what, on whose authority URL: https://dnycrossbordergroup.com/ai-infrastructure/identity-audit **AI audit trail:** A tamper-evident record of which data, model, agent, device and person were involved in an AI decision or action, and under what permission. Every person, AI agent, model and device gets a verifiable identity and explicit permissions — and every significant action leaves an audit record. **What gets an identity.** - Users & approvers: Role-based access and approval rights. - Models & agents: Versioned models and agents with scoped permissions. - Devices: Drones, robots and edge devices bound to an identity. - Datasets: Records with provenance, licence and version. Use cases: Demonstrating responsible AI practice to customers and regulators; Investigating incidents in automated operations; Proving which model version produced a decision; Authorising drone missions and robot tasks. Boundaries: Audit records support accountability; they do not by themselves guarantee correctness. ### AI transaction readiness: preparing for machine-to-machine services URL: https://dnycrossbordergroup.com/ai-infrastructure/transactions **AI transaction readiness:** Architecture and interfaces that prepare for AI agents and machines to request, verify and settle services with each other. As agents and devices start requesting services from each other, they will need to identify themselves, agree terms and settle. DNY reserves the interfaces and architecture for that future. **From request to settled, auditable service.** - Agent identity → Service request → Permission check → Delivery → Verification → Settlement record **What the architecture reserves.** - Verifiable identities for agents and devices - Usage metering tied to audit records - Interfaces for compliant payment providers - Clear human accountability for every account Use cases: Usage-based billing for agents in a marketplace; Devices purchasing data or compute services; Settlement between partners in a data space. Boundaries: This is architecture readiness, not a live payment service. Any payment or digital-asset functionality would be provided through appropriately licensed partners and subject to Australian financial services, AML/CTF and consumer law. ### Built environment: trusted data from material to asset URL: https://dnycrossbordergroup.com/industries/built-environment **Open built-environment data:** A shared, machine-readable structure for building products, standards and project data, with tiered and authorised access that protects commercial secrecy and IP. Building data, materials, modular construction, computer vision, site inspection and digital twins — on one verifiable record. **An open built-environment data model.** The goal is not to publish companies’ commercial data. It is an open data structure with tiered, authorised access that lets data move between enterprises, platforms and systems. - Open building data: Materials, products, manufacturers and suppliers; project types, stages, cost, schedule, procurement and lifecycle data. - Standards & indicators: Structural, fire, waterproofing, thermal, energy and acoustic indicators, mapped between Australian and international standards. - Machine-readable products: Parameters, certifications, test reports and BIM / CAD / 3D models with unified product IDs and API access. - Modular & MMC library: Standard modules and components, nodes, load parameters and assembly rules for modular and 3D-printed construction. **From data to the site.** - Drone inspection: Site progress, facades and roofs. - Computer vision: Defect detection and quality checks. - Digital twins: Asset handover and operations. Use cases: AI-assisted product selection and procurement; Certification and compliance evidence; Drone-based site and facade inspection; Materials and facade valuation; Digital twins for handover. Boundaries: Companies’ commercial data is shared only under authorised access. Reported AI use in Australian construction is low, so pilots start with clear data foundations. Evidence: 6% of Australian construction businesses reported AI use in 2024–25 (Australian Bureau of Statistics, Characteristics of Australian Business 2024–25). ### Logistics and warehousing: physical AI where the gap is widest URL: https://dnycrossbordergroup.com/industries/logistics-warehousing **Warehouse automation:** Using robotics, computer vision and software to move, store, pick and track goods with less manual handling and more predictable operations. Warehouse automation, robotics, predictive operations, supply-chain AI, vision and drones — integrated with WMS, ERP and sensor data. **From process mapping to scale.** - Process mapping: Identify high-cost, high-friction or high-risk workflows. - Data & systems assessment: Map WMS, ERP, automation, sensors, robotics and data availability. - Use-case prioritisation: Rank opportunities by value, feasibility, safety and integration complexity. - Sandbox & pilot: Test models, agents and vision or robotics components; deploy defined workflows with measurable KPIs. - Production hardening & scale: Security, monitoring, support and governance — then extend across workflows and sites. Use cases: Robotic picking and transport; Vision-based inventory and quality checks; Digital twins and predictive operations; Supply-chain intelligence and exception handling; Drone stock and yard counts. Boundaries: Pilots run with defined KPIs before any scale commitment. Robotics are integrated on a multi-vendor basis. Evidence: 1% of Australian businesses in Transport, Postal & Warehousing reported AI use in 2024–25 (Australian Bureau of Statistics, Characteristics of Australian Business 2024–25). ### Cross-border trade: verified data, automated workflows URL: https://dnycrossbordergroup.com/industries/cross-border-trade **Trade workflow automation:** Using AI agents and verified records to prepare, check and route the documents, data and approvals that cross-border trade requires. Product data, compliance, channels, supply chain and AI agents for the workflows that slow down cross-border business. **Where AI helps trade.** - Product data: Specifications, certifications and origin records in a verifiable form. - Compliance checks: Agents that prepare and check documentation against requirements. - Channels & distribution: Workflow support for market entry and distribution partners. - Supply-chain visibility: Shared, permissioned records across parties. Use cases: Trade documentation preparation; Supplier and product verification; Market-entry workflows for Australian buyers; Building-product import compliance. Boundaries: AI-prepared documents are reviewed by responsible people before submission. DNY does not provide customs brokerage, legal or immigration advice. ### Enterprise and professional services: governed agents at work URL: https://dnycrossbordergroup.com/industries/enterprise **Enterprise AI agent:** An AI agent deployed inside an organisation to carry out business tasks using its internal data and systems, under that organisation’s permissions and oversight. Enterprise agents, private or hybrid deployment, internal knowledge and workflow automation — with governance built in. **What enterprises deploy.** - Internal knowledge: Assistants grounded in verified internal sources. - Workflow automation: Document, HR and back-office processes. - Private / hybrid: Models running where data needs to live. Use cases: Knowledge assistants; HR and talent operations; Media and content operations; Evaluated agents from a governed marketplace. Boundaries: Use cases start with defined workflows and measurable outcomes. DNY does not provide legal, financial or employment advice through AI tools. ### OPC network: local nodes powered by AI agents URL: https://dnycrossbordergroup.com/opc-fde/opc-network **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. An OPC is a local business node where a small team, AI agents and market connections combine to deliver real projects — not a conventional co-working space. **Four things in one place.** - Local business node: A professional base and collaboration space. - AI agent capability: Access to DNY infrastructure and governed agents. - Market connections: Enterprise customers, suppliers and partners. - Project talent pool: Universities, developers, founders and specialists. Use cases: Small teams delivering enterprise AI projects; Local presence for industry programmes; Testing ventures before they spin out. Boundaries: Participation and membership are established through documented agreements. ### The FDE model: delivery that starts with the customer’s problem URL: https://dnycrossbordergroup.com/opc-fde/fde-model **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. Forward Deployed Entrepreneurs sit with real customers, understand real constraints, and use DNY infrastructure to deliver solutions that actually get deployed. **From problem to deployment.** - Embed: Work alongside the customer to understand processes, data and constraints. - Shape: Define a use case with measurable outcomes and a governance plan. - Prove: Build a pilot on DNY infrastructure — AI, physical devices or both. - Deploy: Harden for production with security, monitoring and support. - Scale or spin out: Extend across sites, or incubate a repeatable solution as a venture. Use cases: Physical AI pilots — drones, robots, vision; Industry AI projects in construction, logistics and trade; Enterprise agent deployments. Boundaries: FDE engagements are scoped and contracted per project. ## Industries - **Built Environment:** Verifiable building-product data, standards mapping and modular construction libraries — combined with aerial and on-site inspection — so design, procurement and asset systems can rely on the same trusted record. Use cases: Open building-product data and standards mapping; Modular and MMC component libraries; Drone-based site and facade inspection; Digital twins for asset handover; AI-assisted materials valuation. - **Logistics & Warehousing:** Robotics, computer vision and AI agents integrated with WMS, ERP and sensor data — the sector where reported Australian AI use is lowest and the deployment upside is highest. Use cases: Warehouse robotics and automation; Vision-based inventory and quality checks; Predictive operations and digital twins; Supply-chain intelligence; Drone-based yard and stock counts. - **Cross-border Trade:** Trusted product and document records plus AI agents for the paperwork, compliance checks and channel workflows that slow down cross-border business. Use cases: Trade documentation automation; Product data and compliance records; Channel and distribution workflows; Verifiable supplier information. - **Enterprise & Professional Services:** AI agents and workflow automation deployed where enterprise data needs to live — with identity, permissions, human oversight and audit built in. Use cases: Internal knowledge assistants; Workflow and document automation; HR and talent operations; Evaluated agents from a governed marketplace. - **Future Verticals (future expansion):** Sectors where the same infrastructure applies and where DNY expects to expand over time. These are future expansion areas, not current operations. Use cases: Mining — inspection and autonomous operations; Agriculture — data rights and provenance; Utilities — asset inspection by drone; Health & ageing — service robotics. ## Applied Ventures Status definitions: - Operating: Live with customers or users. - In Development: Being designed, built or validated; not yet generally available. - Proposed: Defined concept awaiting partners, approvals or funding. - Research: Exploratory research or technical investigation. - Partnership Opportunity: Open to a partner to lead or co-develop. ### DNY Aerial Systems - URL: https://dnycrossbordergroup.com/ventures/dny-aerial-systems - Status: In Development - Category: Physical Intelligence - Layer: Open Physical Intelligence Layer — Air Intelligence - Industries: Built Environment, Infrastructure & Utilities, Enterprise - Capabilities: Aerial inspection, Mapping & survey, Industrial data capture, Systems integration, Lifecycle support - Technology: Drones, Computer vision, Edge AI - Summary: Commercial drone systems for government, infrastructure and enterprise — aircraft and component supply, Australian systems integration and lifecycle support. - Relationship to 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. ### DNY Robotic Systems - URL: https://dnycrossbordergroup.com/ventures/dny-robotic-systems - Status: In Development - Category: Physical Intelligence - Layer: Open Physical Intelligence Layer — Embodied Intelligence - Industries: Logistics & Warehousing, Enterprise, Built Environment - Capabilities: Embodied AI, Autonomous navigation, Manipulation, Human–robot collaboration, Fleet operations - Technology: Robotics, Edge AI, AI agents - Summary: Embodied and autonomous systems for Australian industrial, logistics and service environments, built on DNY’s trusted open AI and physical intelligence infrastructure. - Relationship to 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. ### Robotics Experience & Innovation Centre - URL: https://dnycrossbordergroup.com/ventures/robotics-experience-centre - Status: In Development - Category: Physical Intelligence - Layer: Open Physical Intelligence Layer — Embodied Intelligence - Industries: Enterprise, Education, Hospitality & Care - Capabilities: Live robot demonstration, Product validation, Market entry for global brands, B2B pilots, STEM education - Technology: Robotics, Open models - Summary: A physical showcase, testing ground and Australian market-entry environment for advanced global robotics and AI hardware — demonstration, validation, B2B and education. - Relationship to 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. ### AI Robotic Logistics Warehouse - URL: https://dnycrossbordergroup.com/ventures/robotic-logistics-warehouse - Status: In Development - Category: Physical Intelligence - Layer: Open Physical Intelligence Layer — Industrial Intelligence - Industries: Logistics & Warehousing, Cross-border Trade - Capabilities: Robotics-assisted picking, AI vision quality checks, WMS / OMS / TMS, Fulfilment-as-a-Service - Technology: Robotics, Computer vision, AI agents - Summary: A 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. - Relationship to DNY infrastructure: Combines the Physical Intelligence Layer with enterprise integration and agents; operational data is governed in the Trusted Data Space. ### AI Trade Services Platform - URL: https://dnycrossbordergroup.com/ventures/ai-trade-services - Status: In Development - Category: Industry Platforms - Layer: Applied on Trusted & Open AI Infrastructure - Industries: Cross-border Trade - Capabilities: Cross-border marketing content, Quoting & customer service, Translation, Trade data & insight - Technology: AI agents, Open models - Summary: AI agents for import and export businesses — content, quoting, customer service, translation and trade data — for trade across Asia-Pacific, ASEAN and Oceania. - Relationship to DNY infrastructure: Runs trade agents on the open model layer, with product, document and trade records verified in the Trusted Data Space. ### DNY AI Media Hub - URL: https://dnycrossbordergroup.com/ventures/ai-media-hub - Status: In Development - Category: Agents & Automation - Layer: Applied on Trusted & Open AI Infrastructure - Industries: Media, Cross-border Trade - Capabilities: AI product videos, Social media content, AI digital humans, Multilingual content - Technology: Open models, AI agents - Summary: AI-driven media operations for cross-border sellers — product video, social content, digital humans and multilingual production. - Relationship to DNY infrastructure: Runs media agents on the open model layer, with content provenance and approvals recorded for audit. ### Australia AI Oracle - URL: https://dnycrossbordergroup.com/ventures/australia-ai-oracle - Status: In Development - Category: Trusted Data & AI Services - Layer: Trusted Data, Identity & Verification Foundation - Industries: Cross-border Trade, Agriculture, Enterprise - Capabilities: Multi-source verification, Cryptographic proof of origin, Data APIs for agents, Public accountability - Technology: Trusted data, APIs - Summary: A not-for-profit, rights-verified data platform giving AI agents reliable access to Australian pricing, index and trade data — every figure traceable to its source. - Relationship to DNY infrastructure: A public-interest data service built directly on the Trusted Data Space and its verification mechanisms. ### Australia AI Agent Marketplace - URL: https://dnycrossbordergroup.com/ventures/ai-agent-marketplace - Status: In Development - Category: Agents & Automation - Layer: Trusted & Open AI Infrastructure — Agents - Industries: Enterprise, Government - Capabilities: Industry-specialised agents, Agent evaluation, Enterprise, SME and government channels - Technology: AI agents, APIs - Summary: An industry-specialised marketplace where enterprises, SMEs and government can find AI agents suited to Australian rules and workflows. - Relationship to DNY infrastructure: Lists agents that pass DNY evaluation and licence review; prepared for AI-to-AI service settlement. ### DNY Building Supply - URL: https://dnycrossbordergroup.com/ventures/building-supply - Status: In Development - Category: Industry Platforms - Layer: Applied on Trusted & Open AI Infrastructure - Industries: Built Environment, Cross-border Trade - Capabilities: Full-category building materials, Showroom & warehouse, Supply-chain coordination, Product data - Technology: Trusted data - Summary: A building-materials and supply-chain venture connecting suppliers, manufacturers, builders and trade partners, with a showroom and warehouse in Sydney. - Relationship to DNY infrastructure: Product records, certifications and test reports feed the open built-environment data model in the Trusted Data Space. ### Facadia — AI Materials Valuation - URL: https://dnycrossbordergroup.com/ventures/facadia - Status: In Development - Category: Industry Platforms - Layer: Applied on Trusted & Open AI Infrastructure - Industries: Built Environment - Capabilities: AI photo analysis, Budget estimation, Privacy by design - Technology: Computer vision, Trusted data - Summary: Residential facade intelligence — a photo of a home’s exterior returns a materials report and budget estimate instead of a manual quantity take-off. - Relationship to DNY infrastructure: Estimates draw on verified product and standards data, so every figure can be traced to its sources. ### DNY HR Hub - URL: https://dnycrossbordergroup.com/ventures/hr-hub - Status: In Development - Category: Industry Platforms - Layer: Connected to the OPC + FDE Network - Industries: Enterprise, Cross-border Trade - Capabilities: Professional exchange, Industry visits, Business delegations, Networking - Technology: AI agents - Summary: A people-focused venture connecting entrepreneurs, professionals and business delegations with real cross-border projects through exchange, industry visits and networking. - Relationship to DNY infrastructure: Feeds people and projects into the OPC + FDE network; programmes use DNY agents for coordination. ### Livestock Data Rights Platform - URL: https://dnycrossbordergroup.com/ventures/livestock-data-rights - Status: In Development - Category: Trusted Data & AI Services - Layer: Trusted Data, Identity & Verification Foundation - Industries: Agriculture - Capabilities: Show animal passport, Batch verification, Producer trust profile - Technology: Trusted data - Summary: Digital notary infrastructure for Australia’s livestock export industries — turning existing records into tamper-proof credentials that buyers, banks and regulators can trust. - Relationship to DNY infrastructure: Applies Trusted Data Space provenance and permission controls to agricultural records — an early future-vertical use case. ## OPC + FDE network Page: https://dnycrossbordergroup.com/opc-fde OPC = Office + AI Agents: local business nodes that combine workspace, AI agent capability and market connections — not a conventional co-working space. FDE = Forward Deployed Entrepreneur: a delivery role working directly on real customer problems to take solutions from proof of concept to deployment. Sydney is the first node; Auckland is the expansion direction for New Zealand. ## Frequently asked questions ### About the group **Q: What is DNY Cross Border Group?** A: DNY Cross Border Group is an Australia-led technology and commercialisation group, headquartered in Sydney, that builds trusted, open AI infrastructure and connects it with the physical economy through drones, robotics, edge systems and industry ventures. **Q: Is DNY a single AI platform or a group?** A: A group. DNY is organised in layers: a group holding layer, Trusted & Open AI Infrastructure, the Open Physical Intelligence Layer, the OPC + FDE delivery network, and Applied Ventures that operate as focused businesses on that shared infrastructure. **Q: Does DNY train its own foundation model?** A: No. DNY works at the commercialisation layer — selecting, evaluating, integrating, governing and operating suitable open and open-weight models — rather than competing to train a frontier model. **Q: What do the project status labels mean?** A: Operating means live with customers; In Development means being designed, built or validated; Proposed means a defined concept awaiting partners, approvals or funding; Research means exploratory; Partnership Opportunity means open to a partner to lead or co-develop. ### Trusted AI **Q: What is Trusted AI?** A: Trusted AI is AI whose data sources, model versions, permissions and actions can be verified, traced and audited. At DNY it is delivered through a Trusted Data Space and verifiable infrastructure rather than through claims of accuracy. **Q: What is a Trusted Data Space?** A: A Trusted Data Space is a governed environment where data is shared under recorded provenance, versions, licences and permissions, so organisations can collaborate on data without giving up control of it. **Q: Does DNY use blockchain?** A: Hashing, digital signatures, trusted timestamps and distributed ledgers are technology options for verification where they add value. They are tools inside the trust layer, not the identity of the platform. ### Open Source AI **Q: What is the difference between open-source, open-weight and source-available AI?** A: Open-source AI grants the freedom to use, study, modify and share, including the preferred form for modification. Open-weight models publish weights but may restrict terms, data or modification. Source-available systems can be viewed or used only under specific conditions that may limit commercial use. **Q: Is open-source AI always cheaper or safer?** A: No. DNY does not claim that open models are free of licensing or IP risk, or always cheaper or safer than proprietary ones. Every model is evaluated and licence-checked before production use. **Q: Is DNY tied to one model or cloud provider?** A: No. The infrastructure is multi-model, multi-cloud and vendor-neutral by design, to avoid structural dependency on a single model, cloud or hardware supplier. ### Physical AI **Q: What is Physical AI?** A: 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. **Q: What is the Open Physical Intelligence Layer?** A: 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. **Q: Is DNY a drone company or a robotics company?** A: 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. **Q: How are physical AI actions kept safe and accountable?** A: 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. ### OPC + FDE **Q: What is an OPC?** A: OPC stands for Office + AI Agents: a local business node that combines a physical workspace, AI agent capabilities and market connections, so small teams can deliver like larger organisations. It is not a conventional co-working space. **Q: What is an FDE?** A: FDE stands for Forward Deployed Entrepreneur: a delivery role that works directly on a real customer problem in the field, combining industry knowledge with DNY infrastructure to move a solution from proof of concept to deployment. **Q: Where does the OPC + FDE network operate?** A: Sydney is the first node. Auckland is the expansion direction for the New Zealand network. ### Commercial drones **Q: What are commercial drone systems used for?** A: Commercial drone systems are used for aerial inspection, mapping and survey, environmental sensing and industrial data capture across infrastructure, construction, utilities and enterprise assets. **Q: What is DNY Aerial Systems?** A: DNY Aerial Systems is DNY’s commercial drone venture, currently in development. It is intended to combine aircraft and component supply with Australian systems integration, contract delivery and lifecycle support, reusing the group’s trusted AI infrastructure. ### Embodied AI & robotics **Q: What is embodied AI?** A: Embodied AI is AI that operates through a physical body — a robot — so that it can perceive its surroundings, reason about them and act within them. **Q: What is DNY Robotic Systems?** A: DNY Robotic Systems is DNY’s embodied intelligence venture, currently in development, focused on robots for Australian industrial, logistics and service environments. Specific products are not yet announced. ### AI agents **Q: What is an AI agent?** A: 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. **Q: How does DNY govern AI agents?** A: 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. ## Glossary - **Trusted AI:** AI whose data sources, model versions, permissions and actions can be verified, traced and audited. - **Open Source AI:** AI released with the freedom to use, study, modify and share it, including access to the preferred form for modification. - **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. - **Source-available:** Code or weights that can be viewed or used under specific conditions, which may limit commercial use or redistribution. - **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. - **Data provenance:** The verifiable record of where data came from, who created it, when, and how it has changed. - **AI Agent:** Software that uses an AI model to plan and carry out multi-step tasks by calling tools, systems or devices. - **Human oversight:** Keeping a person able to review, approve or override AI decisions where full autonomy is inappropriate or unsafe. - **Physical AI:** AI that perceives the real world through sensors, reasons about it and acts through machines such as drones, robots and industrial equipment. - **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. - **Embodied AI:** AI that operates through a physical body, such as a robot, so it can perceive, reason and act in its surroundings. - **Commercial drone systems:** Uncrewed aircraft, sensors and software used for inspection, mapping, sensing and industrial data capture in commercial and government operations. - **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. - **Autonomous operations:** Multiple devices — drones, robots and industrial systems — coordinated by AI agents under governed workflows with human escalation. - **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. - **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. - **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. - **AI transaction readiness:** Architecture and interfaces that prepare for AI agents and machines to request, verify and settle services with each other. - **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. ## Sources for statistics used on the site - 12% of Australian businesses used AI in 2024–25, up from 1% in 2021–22; 1% reported AI use in Transport, Postal & Warehousing; 6% in Construction — Australian Bureau of Statistics, Characteristics of Australian Business 2024–25. - 89% of organisations use some open source in their AI stack; 63% use an open model — Linux Foundation Research, 2025. - A$22b annual enterprise procurement behind the Buy Australian AI Partnership — Department of Industry, Science and Resources / National AI Centre, 2026. ## Contact DNY Cross Border Group, 1 Sussex St, Barangaroo NSW 2000, Australia. Email: info@dnycrossbordergroup.com. Enquiries: https://dnycrossbordergroup.com/contact (enterprise, partnership, investment, developer, visit). Disclaimer: general information only; not an offer of securities or financial, legal or tax advice. Ventures are at the stage shown by their status label.