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Proven Results

Bills we've cleaned

Real engagements across cloud, GPU, and AI spend — scanned, cleaned, and saving 30–80% for teams from fast-moving startups to global enterprises.

CASE STUDY 01

Cloud Cost + GPU Optimization in 3 Days

Data-AI startup — ~$3.0M annual AWS spend · onboarded, diagnosed, and optimized end-to-end in three days
AWS + GPU
39%
Realized AWS savings
in the first engagement
40→80%
GPU utilization
same fleet, more throughput
3 days
End-to-end engagement
quick wins in 3 hrs

The 3-Day Engagement

Day 1 Kickoff & diagnosis — fast onboarding, no agents or production changes. Isolated two constraints: fragmented cost visibility and GPU scheduling. (No downtime · read-only)
Day 2 AWS cost savings — a unified spend view surfaced 41% savings potential; the team executed quick wins in 3 hours, 39% realized.
Day 3 GPU optimization — ray-based slicing & priority-aware scheduling lifted utilization from 60% to 90%: higher throughput, same fleet.

Key Savings Levers

Compute Savings Plan 18%
Delete unused resources 9%
S3 Intelligent-Tiering 8%
S3 lifecycle policy 4%
CASE STUDY 02

Rockstar Automations

AWS Cost Optimization — AI-Powered FinOps Platform Deployment
Amazon Web Services
36%
Cost Reduction
vs. baseline spend
$170K+
Annual Savings
$14,200/mo achieved
71%
SP/RI Coverage
from 0% On-Demand

Cost Visibility & Analytics

Dashboard Real-time cost tracking across all AWS accounts with multi-account consolidation
Allocation Cost allocation by team, service & environment with chargeback reporting
Detection Automated anomaly detection: 23 cost spikes caught in first 90 days

Resource Optimization

Right-sizing EC2 & RDS right-sizing — 15 instances downsized, saving $3,200/mo
Cleanup 54 idle resources eliminated: unattached EBS volumes, NAT GWs, snapshots
Savings Plans SP coverage raised from 0% to 71% — $8,100/mo reduction
CASE STUDY 03

MMG — Minerals and Metals Group

Azure Compliance & FinOps Cost Optimization  ·  Australia East (Sydney) & Southeast (Melbourne)
Microsoft Azure
$1.39M
Total Annual Savings
AUD, net cost reduction
30.2%
Total Savings Rate
$4.6M → $3.21M annual
100%
RI Coverage Achieved
Fully off On-Demand pricing

Savings Breakdown

VM-RI Optimization $393K · 28.3%
Backup Optimization $329K · 23.6%
Storage Optimization $248K · 17.9%
Rightsizing & Scheduling $236K · 17.0%
A-Hub / License Optimization $183K · 13.2%

Key Actions

80% Waste removed — idle VMs, redundant backups, unused storage eliminated
SOC 2 Compliance + FinOps dual-track: tagging, IAM, MFA, encryption
GRS→LRS Backup redundancy shift & Hot→Cool storage tiering applied
37 VMs BYOL conversion via Azure Hybrid Benefit for Windows VMs
CASE STUDY 04

Large E-Commerce Platform

AWS Cloud Cost Optimization  ·  US-East-2 (Ohio)  ·  Assessment delivered in 1 week
AWS
$2.45M
Total Annual Savings
$7.01M → $4.56M annual
35%
Cost Reduction Rate
Highest across studies
53%
Instances Rightsized
EC2, RDS & ElastiCache

Savings Breakdown

EC2/RDS/ElastiCache RI + Rightsizing $1,629K · 66.4%
EBS Storage Optimization $553K · 22.5%
Idle Asset Elimination $246K · 10.0%
Redshift Rightsizing $26K · 1.1%

Key Actions

gp3 EBS migration to gp3 + automated snapshot pruning policies
10% cut Idle NAT gateways, Elastic IPs & dormant ElastiCache removed
100% RI Full RI coverage for steady-state EC2/RDS/ElastiCache fleets
1 Week Fast assessment-to-action; 50% gainshare model available

Ready to see what Parsimo can clean out of your bill?

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