Australia’s Sovereign Compute Exchange.
Building one platform to access and orchestrate Australian compute infrastructure. Designed for control, transparency and sovereignty.
Australian-operated · Veteran-owned
Current reality
Australian compute is scattered across separate data centres, clouds and private facilities.
AI inference, rendering and scientific modelling to name only a few are driving demand for compute, but Australian capacity remains fragmented. Each venue has its own pricing, rules and available capacity, forcing buyers to negotiate site by site with limited visibility and little confidence they chose the best option.
Fragmented supply
Capacity sits in separate data centres, clouds and private facilities. Each holds different spare capacity at any given moment, and none of it is visible in one place.
Negotiated venue by venue
Every workload means shopping around and negotiating site by site. The work repeats with each provider, and the last negotiation makes the next one no easier.
Onshore is not guaranteed
Buyers often cannot guarantee that a workload’s data stays on Australian soil, which is the requirement most likely to be non-negotiable.
Locked into one provider’s rules
Once a workload sits with one venue, its price, its terms and its capacity ceiling are that venue’s to set. Moving it later means starting the whole procurement again.
The pieces are already here.
The pieces are already here.
Omega AI aims to bring them all together.
Omega AI aims to bring them all together.
From request to route.
Omega AI is designed to bring AI and high-performance batch workloads into one shared compute plane. It scores every eligible venue against every job, so no venue wins by default. The exchange exists to waste less on both sides: idle capacity on one, time and money on the other.
Illustrative example. The selected venue changes with the workload and available supply.
Mei runs genomics pipelines and wants results, not queue time
Mei
Computational scientist, public research institute
Jordan runs fine-tuning jobs and wants to stop paying reserved rates for idle GPUs
Jordan
Platform lead, AI product company
Priya runs regulated workloads and needs every venue kept inside Australia
Priya
Head of data platform, regulated enterprise
Alex runs live inference and cannot let a cheaper, slower venue win on price
Alex
Site reliability engineer, SaaS platform
Sam runs overnight batch and wants more of the market without a three-year commitment
Sam
Technical founder, early-stage startup
Nadia has spare overnight capacity and wants to earn on hours nobody has booked
Nadia
Operations manager, regional data centre