Cloud waste is real.
The math doesn't lie.
Here's why Flareo consistently finds savings that billing dashboards miss.
Average reduction in cloud spend in the first 90 days
Average time from connect to first recommendation
Cost of mistakes — every automated action is reversible by default
Why billing dashboards miss it
The tools your cloud provider gives you were not built to help you spend less.
Your cloud provider profits from your waste
AWS, GCP, and Azure have no incentive to tell you that EC2 instance is idle. Flareo has the opposite incentive — it only wins when you save.
The data exists. You just can't see it easily.
Cloud providers surface raw spend. Flareo correlates spend with utilization, idleness, and reservation gaps to find the actual cause.
Manual reviews don't scale.
One person reviewing one account takes 2 hours. Flareo does it continuously, across every account, in the background.
What Flareo actually catches
Six categories of waste that show up in nearly every cloud account we analyze.
Stopped or near-zero CPU for 7+ days
Running but never queried
M5.4xlarge doing M5.large work
On-demand pricing where Reserved would cost 40% less
EBS volumes and S3 buckets with zero access in 30 days
The Friday afternoon mistake
How the confidence score works
Every recommendation comes with a confidence score (0–100). Higher confidence = stronger evidence. Flareo filters out anything below 60 — you only see actions worth taking.
Idle 14+ days, zero CPU, zero traffic
Idle 7+ days, CPU < 2%
Idle 3+ days, usage spike-free
Never shown to you
Built to be trusted
See it on your own infrastructure.
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