What we do
A Flexible Platform for AI Data Center Development
No two AI infrastructure opportunities begin in the same place. Some start with an existing data center. Others begin with an underutilized industrial property or a site with access to substantial power.
EdisonData applies a common development framework across all three models while adapting the technical and commercial solution to each location.
Service 01
Legacy Data Center Modernization
EdisonData evaluates and modernizes older data centers that may already have electrical, cooling, mechanical, fiber, and security infrastructure in place.
Upgrading and reconfiguring an existing facility can create an environment suited to high-density AI workloads while reducing unnecessary redevelopment time.
Suitable property types
- Enterprise data centers with underutilized capacity
- Colocation facilities with legacy density limits
- Carrier hotels and network-dense buildings
- Facilities with existing utility service and switchgear
What EdisonData evaluates
- Incoming utility service and switchgear condition
- UPS, generator, and distribution capacity
- Cooling topology and liquid-cooling readiness
- Floor loading and mechanical clearances
- Fiber routes and carrier diversity
- Fire, life safety, and security systems
How development works
- Existing-condition assessment and capacity modeling
- Reconfiguration and modernization scope definition
- Phased upgrade sequencing around live operations
- Commissioning and operational transition
Potential advantages
- Existing infrastructure may shorten development sequencing
- Established utility service and network presence
- Phased upgrades can align with customer requirements
Development considerations
- Existing capacity and density limits require verification
- Retrofit work around live systems demands careful sequencing
- Structural, cooling, and electrical headroom vary by building
Service 02
Industrial Facility Conversion
EdisonData transforms suitable factories, R&D campuses, warehouses, and industrial properties into AI infrastructure campuses.
These properties may offer large building footprints, utility access, equipment yards, structural capacity, expansion space, and existing industrial systems that can support phased redevelopment.
Suitable property types
- Manufacturing and fabrication facilities
- R&D and corporate campuses
- Distribution and warehouse buildings
- Industrial sites with substantial existing electrical service
What EdisonData evaluates
- Existing and expandable utility capacity
- Building structure, clear height, and floor loading
- Water, cooling, and mechanical system reuse potential
- Equipment yard and substation siting space
- Zoning, land use, and permitting pathway
- Environmental conditions and site constraints
How development works
- Property and infrastructure evaluation
- Reuse and conversion concept planning
- Modular data hall design and phasing
- Integrated energy and campus expansion planning
Potential advantages
- Large footprints may support modular, phased data halls
- Industrial power service and yards can support energy systems
- Adaptive reuse can make productive use of underutilized assets
Development considerations
- Conversion scope depends on structural and mechanical findings
- Utility expansion timelines vary by market
- Land use and permitting requirements differ by jurisdiction
Service 03
Power-Advantaged Campus Development
EdisonData develops larger AI data center campuses in locations where power availability, land economics, infrastructure access, and permitting conditions may support long-term growth.
These developments are designed around modular deployment, integrated energy systems, and phased capacity additions aligned with customer demand.
Suitable property types
- Sites near transmission corridors and substations
- Land with favorable economics and expansion room
- Markets with supportive land use and permitting conditions
- Locations with generation or storage integration potential
What EdisonData evaluates
- Utility capacity and interconnection pathway
- Transmission proximity and delivery constraints
- Land control, topography, and buildable area
- Water availability and cooling strategy
- Fiber routes and network access
- Community, environmental, and permitting factors
How development works
- Power-focused site screening and selection
- Interconnection and energy strategy development
- Master planning with modular building blocks
- Phased construction aligned with customer demand
Potential advantages
- Purpose-built design for high-density AI workloads
- Room for long-term, demand-led expansion
- Integrated energy and storage can support flexibility
Development considerations
- Interconnection and utility confirmation are prerequisites
- Greenfield development involves longer permitting sequences
- Capacity plans remain subject to engineering and agreements
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Let's Build the Infrastructure Behind the AI Economy
EdisonData works with property owners, technology companies, energy providers, infrastructure partners, and AI customers to develop scalable data center capacity across the United States.