Cloud Cost OptimisationStop Paying for Cloud You Aren't Using
We find and eliminate wasted cloud and AI spend — idle compute, overprovisioned storage and GPU resources sitting unused between jobs.
Real-Time Cost VisibilityGPU & AI Spend AwareNo Performance Trade-Offs
Model Efficiency
98.5%
Processing Speed
1.2ms
Service Overview
Old FinOps Wasn't Built for AI Workloads
Traditional cloud cost optimisation was built around a world of predictable virtual machines and quarterly reservation decisions. AI changed that math. GPU spend is volatile, tied to model choice and usage patterns rather than stable seasonal traffic — and most organisations can't yet answer a basic question: is this AI workload actually producing value for what it costs?
Cloud Cost Optimisation brings real-time visibility, rightsizing and governance to both traditional cloud spend and the newer, harder problem of GPU and AI cost — so waste gets caught before it shows up as a surprise on the monthly bill.
Business Challenges We Solve
Idle Compute & Overprovisioning
Resources sized for peak load running at a fraction of that, every day of the year.
Unpredictable AI & GPU Spend
Token-based pricing and inference costs that scale with usage in ways standard budgets don't anticipate.
No Cost Ownership
Spend nobody's accountable for, because it's not mapped to a team, product or feature.
Capabilities
Core Cost Optimisation Capabilities
From visibility to automated, ongoing savings.
Cost Visibility & Allocation
Map cloud and AI spend to the teams, products and features actually driving it.
Compute & Storage Rightsizing
Match resources to real usage patterns instead of worst-case provisioning.
GPU & AI Cost Optimisation
Reduce idle GPU time, optimise model placement, and cut inference costs without hurting performance.
Reserved & Spot Instance Strategy
Apply the right pricing model to the right workload, not one blanket commitment plan.
Anomaly Detection & Alerts
Catch cost spikes within minutes, not when the invoice arrives weeks later.
Continuous Optimisation
Ongoing rightsizing and governance so savings don't quietly erode six months later.
Why It Matters
Savings You Can Actually Point To
Every engagement is scoped around eliminating a specific, identifiable category of waste.
Lower Monthly Cloud Bills
Eliminate idle and overprovisioned resources that add up every single month.
Predictable AI Spend
Turn volatile GPU and inference costs into something you can actually forecast.
Clear Cost Ownership
Every dollar mapped to a team or product, so accountability isn't a mystery.
Our Methodology
From Hidden Waste to Ongoing Control
A structured approach that treats cost optimisation as a discipline, not a one-time cleanup.
Visibility Audit
Map current cloud and AI spend across providers, teams, and workloads to see where the money actually goes.
Identify Waste
Pinpoint idle compute, overprovisioned storage, and underutilised GPU resources.
Rightsize & Optimise
Apply rightsizing, commitment strategies, and workload placement changes with no disruption to performance.
Monitor & Govern
Put anomaly detection and ownership models in place so savings hold up over time.
Tech Stack
Enterprise-Grade Tools & Frameworks
FinOps Platforms
Cost visibility, allocation and optimisation across cloud and Kubernetes estates.
Cloud Providers
AWS
Azure
Google CloudMulti-cloud cost analysis and commitment strategy across major platforms.
Kubernetes & GPU Optimisation
Automated scaling and placement for container and GPU workloads.
Monitoring & Alerts
Real-time spend monitoring and anomaly alerting.
Relevant Industries
Trusted Across Sectors
SaaS & Technology
Unit economics and per-customer cost visibility for scaling platforms.
Retail & E-commerce
Cost control across seasonal traffic spikes without year-round overprovisioning.
Financial Services
Cost governance that holds up alongside strict compliance and audit requirements.