AI Infrastructure: open models, governed agents, verifiable data
DNY does not train a frontier model. We make capable open AI usable for Australian industry: evaluating, integrating, deploying, governing and operating it as one accountable service.
Four parts
Open model layer
Open-source and open-weight models, multi-model and licence-checked before production.
AgentsAI agents
Agents that carry out multi-step work under defined permissions and human oversight.
DeploymentPrivate, hybrid, API-first
Models and agents running where the data needs to live, connected to enterprise systems.
TrustVerifiable data & audit
Provenance, identity, permission and audit records for data, models and actions.
Agents that act within limits
An AI agent is software that uses a model to plan and carry out multi-step tasks by calling tools, systems or devices.
- Orchestration: multiple agents and tools coordinated across one workflow.
- Human oversight: approval, review and escalation where full autonomy is inappropriate.
- Permissions: agents act only within explicitly granted scopes.
- Evaluation: agents are tested and licence-checked before production use.
- Physical reach: the same agents coordinate drones and robots in autonomous operations.
Evaluate → integrate → deploy → govern → operate
One accountable partner from model selection to day-to-day operation, in the cloud, privately or in hybrid environments.
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, wherever the data needs to live.
Govern
Provenance, audit logging, human oversight and a model licence register.
Operate
Monitoring, support, incident handling and continuous improvement as a managed service.
Customer data is not a platform asset because it is processed: ownership, processing and training permissions are defined by contract, and each party keeps its existing IP.
Prepared for machine-to-machine services
As agents and devices begin requesting services from each other, they will need to identify themselves, agree terms and settle. The architecture reserves verifiable identities, usage metering tied to audit records, and interfaces for licensed payment providers.
Boundary
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.
Where the infrastructure becomes a product
AI Infrastructure: common questions
What is the difference between open-source, open-weight and source-available AI?
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.
Is open-source AI always cheaper or safer?
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.
Is DNY tied to one model or cloud provider?
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.
What is an AI agent?
An AI agent is software that uses an AI model to plan and carry out multi-step tasks by calling tools, systems or devices, rather than only answering a single prompt.
How does DNY govern AI agents?
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.