A sovereign AI platform ensures AI model inference and data remain within Australian data centres, while the infastructure and data are controlled by an Australian-owned organisation operating under Australian law. Australe is Australia's dedicated sovereign AI Model-as-a-Service platform, combining Australian data residency with Australian ownership and control.

No. Australe operates on dedicated Australian GPU infrastructure. When customers choose AI models hosted in Australia, no data is shared with third-party AI providers whose model weights are hosted outside Australia. Customer data is never used to train external models.

Yes. Australe is built for the risks SOCI responsible entities must manage. Every AI request is processed on Australian-owned infrastructure, in Australian data centres, under Australian law—removing the offshore supply-chain and foreign-jurisdiction hazards that a Critical Infrastructure Risk Management Program (CIRMP) is required to address.

A private AI platform processes an organisation's prompts, documents and data within a secure, isolated environment. Australe, keeps customer data private, does not use it to train third-party AI models, and processes it exclusively on Australian infrastructure controlled by a 100% Australian-owned organisation.

Model-as-a-Service (MaaS) gives organisations secure access to leading AI models through a single API, with no GPU infrastructure or model deployment to manage. Australe delivers MaaS as a truly sovereign service—Australian- owned infrastructure, Australian data centres, Australian control and jurisdiction.

Data sovereignty is about both where data resides and who controls it. For AI, this helps organisations reduce the privacy, security, compliance and foreign-jurisdiction risks associated with offshore or foreign-controlled AI platforms. Australe keeps AI processing and data within Australia, on infrastructure controlled by a 100% Australian- owned organisation.

No. Customer prompts, documents and outputs are never used to train third-party AI models. Australe ensures customer data remains private and under the organisation's control.

Australe processes all AI inference, processing and storage on Australian infrastructure. Customer data never leaves Australian jurisdiction during processing.

Australe provides access to leading open-weight and proprietary AI models through a single API, allowing organisations to select the most appropriate model for each workload without managing multiple AI providers.

Australe combines Australian data residency with Australian ownership and control. AI workloads are processed within Australian data centres on infrastructure controlled by a 100% Australian-owned organisation, reducing exposure to foreign jurisdictions and providing greater control over data privacy, security and governance than foreign-controlled public AI platforms.

Australe is designed for organisations that require enterprise-grade AI while maintaining data privacy, security and Australian data sovereignty. This includes organisations across finance, government, healthcare, legal, accounting and other regulated industries.

Yes. Australe provides a single, OpenAI-compatible API, so organisations can integrate leading AI models into existing applications and workflows—often with just a base-URL change—without managing multiple AI providers or infrastructure.

A sovereign AI platform provides greater control over where data resides, who controls it and which jurisdiction governs it. Australe combines access to leading AI models with Australian data residency, ownership and control, delivering AI through infrastructure operated by a 100% Australian-owned organisation.

Yes. Australe provides onshore GPU inference infrastructure with no offshore data exposure. Government agencies can deploy AI workloads that remain entirely within Australian jurisdiction, on ISO/IEC 27001-aligned infrastructure.

AI platforms designed to support organisations subject to the Security of Critical Infrastructure (SOCI) Act maintain data within Australian borders, enforce workload isolation, provide immutable audit logs and avoid third-party data sharing with offshore cloud providers. Australe supports these requirements as part of its standard platform architecture.

Yes. Australe supports the 13 Australian Privacy Principles (APPs) under the Privacy Act 1988. Data is processed and stored in Australia, access is controlled, and no personal information is transmitted to offshore systems or used to train third-party AI models.

Yes. Australe provides access to multiple leading AI models through a single OpenAI-compatible API, allowing government agencies to select the most appropriate model for each workload while maintaining Australian data residency.

Australe gives government organisations greater control over data, infrastructure, governance and security while reducing reliance on offshore AI services.

Yes. Australe processes all financial data on Australian owned and operated infrastructure, eliminating exposure to offshore AI systems. Banks, credit unions, superannuation funds and insurers can use Australe within their regulated environments.

Yes. Australe processes all customer data in Australia and never uses it to train any AI model. Our security practices are aligned with ISO/IEC 27001, and the platform supports APRA-regulated entities in meeting their obligations under CPS 230, CPS 234 and the Australian Privacy Principles.

Yes. Australe provides access to multiple leading AI models through a single API, allowing financial institutions to select the most appropriate model for each use case while maintaining a consistent integration.

Yes. Australe provides secure Open API standards-based integration that enables financial institutions to incorporate AI capabilities into existing applications, workflows and digital banking platforms.

Australe provides a unified API for multiple AI models, allowing organisations to adopt new models without redesigning applications or maintaining separate integrations with different AI providers.

Yes. Australe delivers Model-as-a-Service (MaaS), providing secure access to enterprise AI models without requiring organisations to purchase, manage or maintain GPU infrastructure.