This is a strategic step in how we are expanding the company, reflecting where sustainability data is no longer just reported, but relied upon and later challenged.
Why Hong Kong
Carbon AI focuses on what happens when sustainability and Scope 3 data is relied upon in real financial and governance decisions and later challenged ex post.
That problem sits at the intersection of capital markets, regulation, and institutional accountability.
Hong Kong operates at this intersection in Asia. It combines a mature common law legal system, deep capital markets, and proximity to regulatory and governance frameworks that shape how decisions are reviewed after they are made.
As sustainability data moves from reporting into decision making, being close to these systems matters, not for visibility, but for design discipline.
We chose Hong Kong because it is where reliance on data carries severe consequences.
What This Means for Carbon AI
Incorporating in Hong Kong reinforces the principles we are building Carbon AI around.
Evidence must be traceable to source.
Uncertainty must be explicit, not hidden.
Historical states must be preserved.
Reliance must be defensible after decisions are made.
These are not features or positioning choices.
They are structural requirements when sustainability data enters financial and governance contexts.
Being based in a jurisdiction where these expectations are well understood helps keep us disciplined about the problem we are solving.
Looking Ahead
This is an early step.
Carbon AI remains focused on a narrow problem: helping institutions rely on sustainability and Scope 3 data in ways that stand up when decisions are later examined.
We will continue to build deliberately and share progress as the work evolves.
