Infrastructure
Design, build and operate resilient, scalable infrastructure across data center and hybrid environments.
Infrastructure decisions outlive most strategies. We design for the capacity and failure modes you actually expect, then operate it with the discipline that keeps everything above it stable.
Estates that grew rather than were designed
Hardware refresh cycles slip, capacity is guessed, and dependencies live in people's heads. The result is an estate that works until one component fails in a way nobody modelled. Documented capacity and rehearsed failure handling are the difference.
- Assets past end of support still carrying production
- Capacity decisions made from anecdote, not data
- Recurring incidents traced to a single unmodelled dependency
- Edge and branch sites with no consistent standard
What we do
Data center transformation
Consolidation, colocation moves and exit programmes with full dependency mapping.
Compute & storage
Platform selection, capacity planning and lifecycle management across the estate.
Network & edge
SD-WAN, segmentation and edge sites designed for constrained and unattended locations.
Site reliability
Monitoring, capacity headroom, problem management and error budgets.
Hosting for AI workloads
Power, cooling, GPU capacity and data adjacency planning for training and inference.
Sustainability
Utilization, power and refresh decisions measured against efficiency targets.
How we engage
- 01
Inventory
Assets, dependencies, support status and utilization, established from data rather than spreadsheets.
- 02
Design the target
Capacity, resilience tiers and refresh plan aligned to what each service genuinely requires.
- 03
Transition
Moves and upgrades executed in waves with tested rollback and no unplanned downtime.
- 04
Operate
Monitoring, capacity forecasting and problem management with monthly reporting against targets.
Common questions
- Do you work with our existing vendors?
- Yes. We are platform-agnostic and work with your incumbent hardware, colocation and network suppliers.
- Can you run a data center exit?
- Yes, including dependency mapping, move grouping, rehearsal and decommissioning.
- Can you host AI workloads?
- We plan for the power, cooling, GPU capacity and data placement those workloads need, on-premises or hybrid.