"This is the largest infrastructure build-out in human history."
"Hyperscaler capex in 2026 will be more than 4× what the entire US energy sector spends. Amazon alone exceeds the entire sector."
"The biggest issue is not compute, but power. You have a bunch of chips sitting in inventory that I can't plug in."
Powered land. Data centres. Networking. GPUs.
More than 4× what the entire US energy sector invests.
$600 billion this year.
Over $1.15 trillion by 2027.
No transparency. No map. Uncertainty everywhere.
The cognitive sector twin for AI infrastructure.
A live, queryable model of the systems that power AI. Land, grid, silicon, facilities, compute, models, demand, capital and policy, and every dependency between them.
Questions that cross eleven domains at once.
If this fab stops, what stops with it, and when?
Is that announced capacity real, or is it ghost load?
Which policy change, three jurisdictions away, just moved this site's energisation date?
One graph. One traversal. One answer.
Ridian runs on TwinStack, the platform for building live sector twins. Schema-driven entities and relationships, field-level provenance, temporal versioning, and a job framework that keeps the graph current. TwinStack is domain-agnostic. Ridian is what it looks like pointed at AI infrastructure.