Cutting cloud and inference spend without cutting capability.
What this actually involves
Cloud and model spend grows quietly until somebody notices. Usually the fix is not a smaller instance type — it is an architectural decision that was reasonable at a tenth of the volume.
We attribute cost to teams and features, find the structural waste, and put the guardrails in place that stop it coming back next quarter.
Cost attribution
Spend mapped to team, product and feature — the prerequisite for every other fix.
Architectural savings
Storage tiering, data egress, caching and scheduling changes with the biggest levers.
Inference cost control
Model routing, prompt caching, batching and quantisation.
Guardrails
Budgets, anomaly alerts and policy that prevent regression.
What lands in your repository
Every engagement ends with artefacts your team owns — not a slide deck describing artefacts your team could have owned.
- Cost attribution model and dashboard
- Prioritised savings backlog
- Implemented top-tier savings
- Budget alerts and governance policy
A short conversation with an engineer, not a sales qualification call. If we're the wrong people for it, we'll say so and point you somewhere better.