About
Building the {verification standard} for AI compute on the grid.
Canus Technologies is an Australian initiative developing an independent measurement and attestation layer for AI compute infrastructure.
As AI data centres become grid-critical electricity loads, regulators, networks, lenders, insurers and infrastructure owners will need better evidence of how these assets actually behave. CANUS is being built to address that evidence gap.
Canus does not provide management software, dashboards, optimization, control, or advisory services to data-centre operators. We do not access workload, customer, model, or interior operational data. Our work begins and ends at the measurement boundary.
Closed Working Group
CANUS is an independent Australian company, operating as a closed working group through its pre-patent, pre-pilot phase with its founders, advisors, patent counsel and university research interns.
Its commercial founder comes from energy infrastructure, and its technical co-founder from enterprise data and security, supported by two international research graduates contributing to the engineering, alongside external patent and corporate counsel, all engaged under non-disclosure, with an advisory bench forming across credit ratings and structured finance as the programme advances toward first pilot.
Our public footprint is deliberately limited, scoped to the regulatory record and to the engineering the programme can show until pre-seed funding and first pilot deployment are in place.
Public record
In May 2026, CANUS lodged a formal submission into the AEMC’s ERC0394 rule-change process on improving National Electricity Market access standards, contributing principles for how AI compute connections should be measured, scoped and verified.
Founder-level engagement with grid operators, infrastructure capital, insurers and AI compute stakeholders is conducted privately under non-disclosure.
Independence by construction
The verification layer for AI compute will be trusted only if the entity producing it has no operational stake in the compute, the energy, or the financial settlement it measures. Canus is constructed to that standard.
Our governance, disclosures, and engagement model are designed to keep that independence intact through commercial scale, which is why each is held to institutional discipline from the first day.
Programme to date
Canus has been operating as a closed working group since 2025. The programme has produced the engineering and policy posture that now anchors our institutional engagement.
Team
Canus operates as a closed working group at the intersection of power systems and large-scale AI compute.
The group's work draws on experience across the power chain that AI infrastructure increasingly depends on renewable generation, power electronics, mission-critical UPS architecture, data centre infrastructure, and large-load energy procurement.
This combination gives Canus a practical view across both sides of the problem the field now faces: the energy systems that power AI infrastructure, and the grid-facing behaviour that third parties increasingly need to trust.
Contributors are engaged on a project basis.
The group has not pulbically published its member roster yet.
Engagement with Canus
Canus accepts a defined number of conversations each quarter with grid operators, regulators, lenders, and infrastructure investors whose mandates intersect the AI-grid evidence layer.
Inbound enquiries should be directed to research@canus.io with a clear statement of institutional context. We respond selectively.