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