Open Source · The Route

Open technology, commercial infrastructure

Open source is already deeply embedded in enterprise technology. DNY does not compete by owning every underlying model — it builds the commercial operating layer around open AI, concentrating investment on deployment tooling, integrations, governance and support.

Say What You Mean By “Open”

Not every “open” model is the same

Open-source terminology is itself a risk. The platform distinguishes clearly between three categories and maintains a model licence register before commercial deployment.

Category

Open-source AI

Aligned with the Open Source Initiative’s Open Source AI Definition — freedoms to use, study, modify and share, with access to the preferred form for modification.

Category

Open-weight models

Weights are available for use, but terms, data information or modification rights may be more restricted than open-source.

Category

Source-available

Code or weights can be viewed or used under specific conditions that may limit commercial use or redistribution.

DNY does not claim that all “open” AI is free of licensing or IP risk, or that open models are always cheaper or safer than proprietary ones. Each model is evaluated and licence-checked before production.
Open vs Proprietary

What stays open, what may be proprietary

Built on open technology

  • Selected open-source and open-weight models
  • Open data structures, dictionaries and unique identifiers
  • Open standards mapping and product libraries
  • Open API framework and integration interfaces

Proprietary where value is created

  • Deployment and governance tooling
  • Australian enterprise integrations and connectors
  • Evaluation, benchmarking and agent patterns
  • Operating data, reliability and implementation know-how
Vendor-Neutral

Multi-model, multi-cloud, deploy anywhere

Reduce concentration risk

Support multiple models, cloud providers, hardware platforms and agent protocols — no structural lock-in to a single vendor.

Evaluate before production

Model and agent evaluation is a gate, not a formality — capability, licence, cost and safety are assessed first.

Deploy where data needs to live

Cloud, private or hybrid, with a clear separation between customer data, operational data and third-party model services.

Commercial Model

Revenue despite — because of — open source

The opportunity is increasingly in safe production deployment, governance and domain adaptation, not proprietary ownership of every model.

Managed model deployment & hosting Enterprise platform subscriptions Agent-as-a-Service Private & hybrid deployment Integration & implementation Support, monitoring & maintenance AI infrastructure management Industry & managed industrial AI

The ecosystem, without ownership confusion

The proposed Australian Open Source AI Alliance can support research, developer and industry collaboration while remaining legally and financially separate from the commercial company. Learn about the Alliance →

Open source, deployed responsibly