Accelerate AI Data Center Delivery

Unify data and planning to deploy data centers faster

The Reality of Building for AI

The global race to deploy AI data center capacity is exposing major gaps between digital planning and physical infrastructure delivery. Hyperscalers, colocation providers, and design-build teams must manage complex ground conditions, unprecedented rack densities, and compressed construction schedules. By connecting site intelligence, structural engineering, and construction scheduling in a unified workflow, teams can reduce risk, speed up deployment, and deliver AI-ready data centers faster.

$ 0 M

Daily revenue lost for every offline 1GW Center

Invisible Ground Risk

Subsurface surprises lead to million-dollar delays and structural instability before the first slab is even poured.

Unprecedented Power Density

Legacy designs can’t handle the extreme thermal and structural loads of AI-ready rack configurations.

Fragmented Workflows

Disconnected data between site selection, design, and construction creates “information lag,” leading to rework and missed go-live dates.

Rewriting the Playbook for Building Hyperscale AI Data Centers

Inside the race to build at 1.2-gigawatt scale: How DPR Construction leverages Bentley software to master the “marathon of sprints” required for AI infrastructure

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Accelerate every phase of your data center development

Unify teams, data, and workflows to deliver capacity faster. Eliminate site selection uncertainty, structural complexity, and construction delays to ensure your facility is resilient and ready for day one operations.

Scale AI Data Center Capacity Faster
Scale AI Data Center Capacity Faster
Deliver AI-scale data center capacity faster by connecting subsurface intelligence, structural engineering, and 4D construction planning in a unified digital twin workflow.
- Subsurface clarity: Integrate geotechnical and environmental data to make faster land-use decisions and alleviate “ground risk” surprises.
- Structural confidence: Design for the extreme thermal and vibration demands of high-density AI racks while maintaining the flexibility needed for multi-tenant colocation.
- Schedule-driven 4D: Optimize construction sequencing to shorten build times and open capacity to customers sooner.
Build Data Centers with Greater Certainty
Build Data Centers with Greater Certainty
Ensure constructability by grounding your plans in real-world site conditions. Reduce rework and keep field crews moving with data they can trust.
- Real-World planning: Feed ground models directly into your schedule so sequencing reflects actual site conditions, not best-case scenarios.
- Less rework: Use coordinated structural designs to identify clashes early, improving buildability before the first shovel hits the dirt.
- Visual playbooks: Use 4D simulations to align logistics and installation. Show your crews exactly what to do next to reduce downtime and claims.

Scale AI Data Center Capacity Faster

Deliver AI-scale data center capacity faster by connecting subsurface intelligence, structural engineering, and 4D construction planning in a unified digital twin workflow.

Subsurface clarity: Integrate geotechnical and environmental data to make faster land-use decisions and alleviate “ground risk” surprises.
Structural confidence: Design for the extreme thermal and vibration demands of high-density AI racks while maintaining the flexibility needed for multi-tenant colocation.
Schedule-driven 4D: Optimize construction sequencing to shorten build times and open capacity to customers sooner.

Build Data Centers with Greater Certainty

Ensure constructability by grounding your plans in real-world site conditions. Reduce rework and keep field crews moving with data they can trust.

Real-World planning: Feed ground models directly into your schedule so sequencing reflects actual site conditions, not best-case scenarios.
Less rework: Use coordinated structural designs to identify clashes early, improving buildability before the first shovel hits the dirt.
Visual playbooks: Use 4D simulations to align logistics and installation. Show your crews exactly what to do next to reduce downtime and claims.

Winning the Race to AI Capacity

These mega projects are essentially a sequence of sprints within a marathon. The expectation is to deliver quick wins while sustaining performance over the long haul.

— Hannu Lindberg, DPR’s Construction Technology Leader