AI CLOUD COST CONTROL

Stop Your Cloud Waste Before It Stops Your AI ROI

Your ML team is likely overspending by 30% on idle GPUs, orphaned storage, and forgotten experiments. We help you identify zombie infrastructure and give you the confidence to delete it without breaking your production pipelines.

We are actively seeking 5 more teams for a FREE-Risk-Aware Audit

Why is it so hard to hit Delete?

In AI and ML infrastructure, the fear of breaking a production system often outweighs the desire to save money. As a result, costs quietly keep growing.

Idle GPUs

Reserved instances or clusters running long after the training job ended.

Orphaned Storage

Multi terabyte checkpoints from experiments abandoned months ago.

Illustration of fear and hesitation representing risk in cloud cost decisions for AI teams

The Fear Factor

No one knows who owns the resource, so no one dares to shut it down.

Get Clarity in 15 Minutes

I am currently working with ML teams to refine a risk aware audit process. I am looking for five more teams to run a Lite Diagnostic for completely free.

WHAT YOU GET IN OUR 15 MINUTE CALL

High-Level Review

A focused review of your current cloud usage patterns to surface where spend is accumulating and which areas warrant closer attention before any changes are made.

Identify Waste Areas

We pinpoint three to five low hanging waste areas across your infrastructure, highlighting resources that are likely safe to review without risking active production workloads.

Risk Assessment

No one knows who owns the resource, so no one dares to shut it down.A "Risk Score" for your infrastructure (How likely are you to delete something
critical?)

No scripts, no data access, and no commitment. Just a focused conversation about where your budget is leaking.

From Waste to Lean AI

Step 1: The Diagnostic (Free)

We identify the leaks and decide whether a full audit makes sense.

Step 2: The Deep Dive (Paid)

A detailed audit where every resource is categorized as safe to delete, validation needed, or do not touch.

Step 3: The Clean Up

Your team receives a clear, risk ranked roadmap to reclaim cloud budget with confidence.

ABOUT US

Why Risk Aware?

Most cloud cost tools are built for general web applications. They do not understand ML workflows, data checkpoints, or the real cost of retraining a lost model. This process is built specifically for AI teams that need to move fast but cannot afford to waste budget on zombie resources.

Don't let your cloud bill kill your project’s ROI.

Let’s find out how much you can save in 15 minutes