Echo has selected Australe AI as it moves advanced AI workloads into production, choosing Australian-hosted infrastructure to support the next stage of its AI development.

The decision will give Echo greater control over where its customer, business and proprietary data is processed, while reducing its dependence on offshore hyperscale AI platforms—an important consideration as the company works with real-time voice integration.

Under the agreement, Echo will run AI processing and workloads on infrastructure hosted and operated in Australia, with Australe providing the enterprise-grade compute, security and governance required to take AI and machine learning from experimentation into ongoing operational use.

Echo’s Chief Commercial Officer, Chris Ho said “As our AI capabilities move into production, we need the infrastructure underneath them to be as considered as the technology we're building on top. Australe gives us greater control over where our workloads and data are processed, without limiting our ability to adopt new models and technologies as they emerge”.

Australe will manage the complexity of the infrastructure underneath Echo’s AI, including GPUs, compute infrastructure, model deployment and ongoing platform operations. This will allow Echo to focus on developing its AI capabilities rather than building and managing the infrastructure required to run them.

Running on a dedicated enterprise AI platform will also give Echo greater visibility and control over how its workloads are deployed, operated and scaled as its use of AI grows.

For Australe Ai, the agreement demonstrates the role Australian AI infrastructure can play as companies move beyond experimentation and begin embedding AI into business processes where reliability, security and governance become operational requirements.

Australe’s Chief Technology Officer, Steven Duggan said: “The infrastructure requirements change when AI moves out of experimentation and into real business processes. It needs to be reliable, secure and governed, but it also needs to give companies the flexibility to adopt new models as the technology evolves. That’s what we’ve built Australe to do, and Echo is a strong example of that in practice.”

The partnership is also designed to avoid locking Echo into a single model provider or hyperscaler. As new models and capabilities emerge, they can be introduced without requiring Echo to fundamentally redesign its application around the technology underneath it.

That flexibility will allow Echo’s AI environment to evolve alongside advances in AI models, machine learning technologies and the company’s own business requirements.