Site Readiness &
Corridor Intelligence
GFCC evaluates AI infrastructure opportunities at two levels: individual site quantification and regional corridor intelligence — each scored, source-traced, and condition-qualified.
Site Quantification Engine
Every candidate site is evaluated across 7 weighted categories to produce a composite readiness score. Each dimension is scored 1–10 with cited source material.
Power Readiness
Grid capacity, substation proximity, renewable availability, backup power infrastructure, and utility rate structures.
Physical Infrastructure
Land area, structural capacity, floor loading, ceiling height, expansion potential, and brownfield conversion readiness.
Cooling Capacity
Water availability, ambient temperature profiles, mechanical vs. free-cooling potential, and thermal discharge constraints.
Connectivity
Fiber density, carrier diversity, latency profiles, IX proximity, and dark fiber availability.
Location Factors
Labor market depth, supply chain proximity, natural hazard exposure, climate resilience, and community readiness.
Zoning & Permitting
Entitlement status, environmental review requirements, building code alignment, and timeline to first permit.
Security & Compliance
Physical security infrastructure, data sovereignty alignment, regulatory framework, and insurance availability.
Corridor Intelligence Model
Regions and corridors are ranked across 5 dimensions to identify where AI infrastructure development is viable, competitive, and sustainable.
Power Availability
Generation capacity, transmission headroom, renewable mix, PPA market depth, and rate competitiveness.
Fiber Density
Lit fiber miles, carrier diversity, subsea cable proximity, and edge interconnection density.
Land & Development
Available acreage, zoning compatibility, construction cost indices, and permitting velocity.
Pipeline Depth
Announced projects, under-construction facilities, site acquisition activity, and developer concentration.
Saturation Risk
Current capacity vs. demand, competitive density, resource constraint timelines, and infrastructure bottlenecks.
Scenario Modeling
GFCC doesn't produce a single answer — it models multiple scenarios based on variable conditions.
Base Case
Current conditions, existing entitlements, confirmed power allocation, and known infrastructure.
Optimistic Case
Approved expansions, planned utility upgrades, favorable regulatory signals, and announced investments.
Stress Case
Grid constraints, permitting delays, regulatory friction, community opposition, and supply chain disruption.
Ready to Evaluate?
GFCC is available through controlled pilot access for institutional decision-makers evaluating AI infrastructure opportunities.
Request Pilot Access