Global Data Centre Intelligence built by researchers, for researchers. We collect verified information on capacity, location, ownership, and development status from primary evidence.
Trusted by research teams at
Each submission is structured, sourced, and reviewed before it enters the canonical dataset.
Country, region, coordinates, and proximity to power and fibre infrastructure.
Power draw in megawatts, floor space, and projected expansion timelines.
Operator, parent company, joint ventures, and tenancy structures.
Planning, construction, live, or decommissioned with date granularity.
A four-phase workflow that turns unstructured evidence into quantified, auditable data.
AI-assisted source discovery scans public records, filings, and announcements for new project signals.
Structured field extraction parses capacity, location, ownership, and timeline from each source.
Human reviewers approve or reject every AI suggestion. No machine makes a publishing decision.
Approved records enter the canonical dataset with full provenance and audit history.
Patterns that emerge from structured, verified submissions.
Of tracked capacity sits in United States. The remainder is distributed across other countries and regions.
Mean capacity across all submissions with normalized estimates. Range spans from edge nodes to hyperscale campuses.
Of submissions carry at least one primary-source URL. The remainder rely on direct operator disclosure or press releases.
Researchers, analysts, and industry observers are invited to submit structured data on data centre projects worldwide.