Education & Innovation

Data Centers

Validate power density, cooling infrastructure, and modular growth scenarios for data centre campuses — before committing to capital-intensive construction.

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Aerial view of a data centre campus showing modular hall configurations and cooling infrastructure
Trusted by
TAKENAKA Jacobs EMAAR McKinsey Dubai Municipality egis
The Problem

Power, cooling, and scale — the costliest mistakes in construction

Data centre planning errors — undersized power, misaligned cooling, or inflexible modular growth — are among the most expensive infrastructure mistakes to correct after construction begins. A single undersized cooling zone can compromise an entire data hall's operational performance for the lifetime of the asset.

Without DBF With DBF
Power density and cooling requirements estimated in spreadsheets
AI generates and scores 100+ data hall configurations against power and cooling briefs
Infrastructure conflicts found during detailed engineering
Every MEP and cooling requirement validated before design begins
Modular growth assumed without spatial testing
Phased capacity growth scenarios tested against site and infrastructure limits
Sustainability targets addressed late
PUE and embodied carbon metrics integrated from feasibility
Process

How It Works

01
Brief Ingestion

Upload site constraints, programme brief, and enrolment or occupancy targets. DBF maps requirements to spatial parameters automatically.

02
Scenario Generation

The AI generates 100+ layout configurations, each scored against GFA, efficiency, programme mix, and brief compliance.

03
Adjacency Validation

Every departmental relationship is evaluated against the brief. Conflicts surface with impact scores before any design work begins.

04
Infrastructure Sizing

Utilities, MEP, and specialist infrastructure demands are modelled from the validated programme — not estimated.

05
Phasing Scenarios

Growth and expansion scenarios are tested against site and infrastructure limits to confirm long-term scalability before massing.

06
BIM Handoff

Validated programme data and spatial models export directly into your BIM workflow, eliminating manual re-entry.

Platform

Built for capital-intensive data centre complexity

Every DBF capability is designed for the specific demands of data centre planning — where power density, cooling infrastructure, and modular growth interact at the scale of billion-pound capital decisions.

  • AI data hall layout generation
  • Power density and cooling demand modelling
  • Modular growth scenario testing
  • PUE and sustainability metric integration
  • Regulatory compliance outputs
  • BIM handoff exports
Who Uses DBF

Use Cases

Data centre planning team reviewing power density and cooling configuration scenarios
01
Hyperscale Operators
Infrastructure Lead

Validate campus-scale data hall configurations against power density requirements, cooling infrastructure limits, and phased capacity growth targets before construction.

02
Colocation Providers
Development Director

Test multi-tenant data hall layouts against PUE targets, power redundancy requirements, and modular expansion scenarios before committing to design.

03
Enterprise IT
Facilities Director

Validate on-premise data centre configurations against IT load requirements, cooling demands, and long-term capacity growth before capital is committed.

04
Investment Funds
Asset Manager

Assess data centre development scenarios against infrastructure investment, operational efficiency, and long-term capacity scalability before committing capital.

100+
Scenarios Modelled
Per project cycle
Pre-build
Infrastructure Sizing
Before construction begins
Zero
Late-Stage Capacity Surprises
Caught at feasibility
Future Vision

Planning for the AI compute era

As AI compute demand and cloud infrastructure investment accelerate globally, data centre planning complexity will intensify. Power densities will increase, cooling requirements will evolve, and the cost of planning errors will scale with asset values. DBF provides the AI feasibility platform to validate power, cooling, and spatial configurations before capital is committed — enabling data centre developers and operators to plan with greater confidence at every scale.

Future vision of a hyperscale data centre campus planned for AI compute era demands
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