About
Built by the disciplines this problem requires.
DAI Compute is the first vehicle in a programme called Sovereign Energy and AI Infrastructure Canada, pairing energy-software and foresight with deep financial governance.
Why us
Proof of alignment, not just an idea.
The founding pair combines the two disciplines this problem most requires: renewable energy software and distributed energy management, futures research and strategic foresight, alongside four decades of financial governance and network.
We recently submitted to an ISED call for proposals, a blockchain solution built on government-verified suppliers. That submission is our proof of alignment with the federal approach to sovereign AI.
The founders
Energy and foresight, meet financial governance.
Francis Wang
Founder
Over a decade in renewable energy software; patent holder in distributed energy management. Doctoral research in long-term innovation, applying futures research and strategic foresight.
William Yao
Financial governance
Four decades of financial governance and network, including Merrill Lynch.
Public attribution confirmed for the founding pair; additional team detail withheld pre-launch.
Origin
It started with a dependence problem.
DAI Compute began with a deep-seated problem Francis Wang kept running into: Canada is structurally dependent on the United States for the infrastructure its AI economy runs on. Even the data centres on Canadian soil, in Ontario and Quebec, are owned by American corporations, so under the U.S. CLOUD Act, U.S. authorities can compel access to the data on those servers. Every time a Canadian firm runs an AI query through that infrastructure, it is running through American jurisdiction.
The response is a credit protocol that lets Canadians finance and own the energy and compute themselves, on Canadian soil, under Canadian law.
The problem we solve