We make organisations AI-ready

Advice, design, delivery and coordination of AI: the workflows that put it to work, and the high-performance computing (HPC) and data-centre infrastructure it runs on

WorkflowsPlatformsInfrastructure

The AI stack, from infrastructure to workflow Three layers designed as one system: compute, network and storage at the base; the platform of models, training, inference and MLOps above it; and at the top, the workflows where AI is used in applications, automation and decisions. Infrastructure Compute · Network · Storage Platform Models · Training · Inference · MLOps Workflow Applications · Automation · Decisions

What we do

From first question to running system

Our projects range from workflow and model decisions to HPC, data-centre and multi-supplier delivery programmes. Clients engage us for a single stage or for all four.

Our role is consistent across them: we define the requirements, connect the technical layers, align the parties and prove the result against agreed criteria.

Selected cases

Our work across the AI stack

AI platformsUS

More GPU capacity, from a provider chosen on evidence

The client needed more GPU compute for growing AI workloads, from a provider it could rely on.

What our team did

  • Sized the additional capacity from current and planned workloads
  • Turned the sizing into requirements for GPUs, interconnect and storage
  • Found a specialist GPU cloud provider and negotiated the capacity and terms

Availability and support mattered as much as price per GPU hour

Media & publishingUAE

A content workflow built on complementary AI models

The client wanted to produce more content, faster, and was deciding which AI model to standardise on.

What our team did

  • Split the workflow into research, drafting, translation, editing and visuals
  • Tested leading models on the client’s own material, step by step
  • Gave each step to the best-suited model, with people reviewing the output

The best results came from combining models, each on the step it does best

Capital marketsEurope

A shorter, clearer path from market data to decision

Decisions relied on data gathered and checked by hand, which was slow and hard to trace.

What our team did

  • Mapped the decision process from incoming data to the final call
  • Consolidated data feeds into one governed pipeline
  • Added AI-assisted analysis that supports decision-makers, with every step auditable

Speed came from fewer, cleaner data paths, with people still making the call

Systems thinking

A GPU is only as fast as what surrounds it

The network that feeds it, the storage behind it and the cooling around it all set its limits.

So we size each layer from a single workload profile: compute, network, storage and platform, the facility that powers and cools them, and the people who will run them.

How we design

One system Compute, network, storage, facility, people and platform, each connected to the workload at the centre and to each other. Your workload Compute Network Storage Facility People Platform

We work worldwide

Based in Dubai, with the project lead unchanged throughout and specialists on site where the work requires them.

  • EMEA
  • North America
  • APAC

Contact

Planning AI or HPC infrastructure?

Tell us what you are planning and where you are today. The first conversation covers workloads, facilities and timing.