AI-Powered Azure-first · AWS & GCP coming soon

Cut Cloud Bills
75% in Dev & Stage.
Automatically.

CloudSave360 finds every dollar being wasted on Azure — idle dev/stage compute, orphaned disks, oversized plans, reserved-but-unused resources — then acts automatically. AWS & GCP analyzers are in preview (not yet verified on live accounts).

18 hrs
Saved per day, per env
75%
Compute cost reduction
Azure
Live today · AWS/GCP soon
<1 day
Time to first saving
Create free account Sign in with Microsoft ▶ See it live 🔍 Try the real dashboard
AWS EC2 GCP GCE AZR VM COST OPT AI -75% -75% -75%
💰 Savings detected
$12,480 / month
Auto-schedule active
dev · stage → off 18:00
startup 08:00 ✓
CLOUDSAVE360 · 2026
The Problem

Your cloud bill has a massive blind spot.

Dev and stage environments run 24/7 — even on weekends, overnight, and during holidays. Nobody uses them. Everybody pays for them. Native cloud tools won't fix it.

$147B
Annual cloud waste
Gartner 2025: $147B wasted globally on unused and over-provisioned cloud resources each year.
35%
Budget wasted
Average enterprise wastes 35% of cloud spend on idle resources — primarily non-prod environments.
24/7
Dev/Stage runs
Dev and stage environments run round-the-clock despite zero usage for 18+ hours per day on workdays.
0 hrs
Auto-saved by native tools
AWS Cost Explorer, GCP Recommender, Azure Cost Mgmt — all reactive. None auto-schedule shutdowns.
😴 Nobody works at 3 AM — but you're paying
A 40-instance dev environment costs ~$1,200/day running 24/7. With an 8am–6pm schedule, that drops to $300/day. The other $900 is pure waste — every single day, including weekends.
📊 Native tools only show you the problem
AWS Cost Explorer shows you graphs. Azure Advisor sends recommendations. GCP Recommender flags over-provisioned VMs. None of them act — they wait for an engineer who's too busy to follow up.
Where Your Money Goes

Cloud waste hides in four places.
We find and fix all of them.

Native tools only look at one dimension. We scan compute, storage, databases, and reserved resources — together, in one pass.

🖥️
Idle Dev & Stage Compute
Auto-schedule shutdown · save up to 75%
EC2, GCE VMs, Azure VMs, and Kubernetes node pools running 24/7 with zero activity for 18+ hours per day. Our AI validates 14 consecutive days before scheduling any action — zero risk of disruption.
Typical saving: $8,000 – $15,000 / month
💾
Orphaned Disks & Snapshots
Unattached volumes · stale snapshots · unused S3
EBS volumes, GCP Persistent Disks, and Azure Managed Disks left behind after instances are terminated. Old snapshots with no retention policy. Storage billed every second — nobody is using it.
Typical saving: $500 – $3,000 / month
🗄️
Oversized Database Plans
Right-size RDS · Cloud SQL · Azure SQL
Dev databases running on production-grade instances. RDS db.r5.2xlarge serving 2 developers at 9% CPU. We analyze actual usage and recommend the right-sized plan — you approve, we downgrade.
Typical saving: $1,000 – $4,000 / month
🌐
Reserved But Idle Resources
Unattached IPs · idle load balancers · NAT gateways
Elastic IPs reserved but not attached to any instance. Load balancers with zero active targets. NAT Gateways in dev environments routing no traffic. Small per-unit cost, large cumulative waste.
Typical saving: $200 – $1,500 / month
COMBINED → Most companies we scan carry $10,000–$55,000/month in avoidable spend across all four categories. CloudSave360 detects them all in a single pass and acts on every one — no manual tickets.
The Core Use Case

Dev & Stage: 18 hours wasted every single day.

Our AI analyzes 14 days of traffic patterns. No spikes after 6 PM — not once. That's a scheduling opportunity worth thousands per month.

24-HOUR ACTIVITY HEATMAP · dev-cluster · 14-day avg
● ZERO SPIKES DETECTED AFTER 18:00
IDLE · 0→8
ACTIVE · 8→18
IDLE · 18→24
00:00
08:00
12:00
18:00
24:00
Wasted: 18h/day (8h overnight + 6h evening)
Active: 10h/day (worth paying for)
CURRENT (24h/day)
$16,800
per month · dev + stage
40 instances × $0.20/hr × 720 hrs
AFTER OPTIMIZER (6h/day)
$4,200
per month · dev + stage
40 instances × $0.20/hr × 180 hrs
MONTHLY SAVINGS
$12,600
$151,200 / year
75% reduction ↓
🤖
AI detects the pattern in under 60 seconds, validates 14 days of zero-spike history, and creates the auto-schedule — no manual review, no tickets, no spreadsheets. Same logic applies across AWS, GCP, and Azure simultaneously.
Live Platform

AI SCAN Optimizer Engine — real-time cost intelligence.

Scans all three clouds simultaneously. Detects idle windows. Creates auto-schedules. Live-streamed to the browser.

AI SCAN · CLOUD COST OPTIMIZER v3.2
T+ 002:14 $0 saved SCANNING
☁️ AWS us-east-1 ✓
☁️ GCP us-central1 ✓
☁️ Azure eastus ▶
💾 Storage & DB ○
📊 Pattern Analysis ○
🗓 Auto-Schedule ○
💰 Savings Report ○
☁️ MULTI-CLOUD DISCOVERY · 3 providers · 127 resources
000:01INFO→ Connecting to AWS us-east-1 · GCP us-central1 · Azure eastus…
000:08 OK ✓ Connected · 127 resources discovered (AWS:58 GCP:41 AZR:28)
000:12AWS→ Scanning dev-cluster-01 · 22 instances · us-east-1…
000:18INFO Pulling 14-day CloudWatch traffic metrics…
000:31INFO Peak hours: 09:00–18:00 · CPU avg 62% · Network avg 48Mbps
000:38WARN⚠ After 18:00 — CPU avg 1.2% · Network avg 0.3Mbps · 14 days
000:41SAVE✓ IDLE WINDOW: 18:00→08:00 · 14h/night + weekends · zero spikes
000:44AWS→ Scanning stage-cluster-02 · 18 instances · us-east-1…
000:59SAVE✓ IDLE WINDOW: 19:00→09:00 · same pattern confirmed
001:04GCP→ Scanning dev-gke-cluster · 15 nodes · us-central1…
001:22SAVE✓ IDLE WINDOW: 18:00→08:00 · node pool schedulable
001:55AZR→ Scanning dev-vmss-eastus · 12 VMs · East US…
002:08INFO─── STORAGE & DISK SCAN ───
002:14AWS→ Scanning EBS volumes · us-east-1 · 52 volumes found…
002:21WARN⚠ 18 unattached EBS volumes · 420 GB · $0 read/write for 30+ days
002:29SAVE✓ ORPHANED DISKS: 18 volumes flagged · estimated $58/mo waste
002:48INFO─── DATABASE PLAN ANALYSIS ───
002:54AWS→ Analyzing RDS dev-db-01 (db.r5.2xlarge) · 14-day metrics…
003:02WARN⚠ dev-db-01: CPU avg 9% · Memory avg 14% · connections avg 4
003:08SAVE✓ RIGHT-SIZE: db.r5.2xlarge → db.t3.medium · saves $420/mo (72% cut)
▊
── SAVINGS ──
75
%
── CLOUDS ──
AWS✓
GCP✓
AZR▶
── RESOURCES ──
Instances79
Idle detected67
── HEX STREAM ──
A3 0F 2C 88 D1 E7 4B
7F 33 BC 05 AA 61 3E
14 D9 52 8B 0A C4 77
B6 4E 91 2D 60 F5 38
$12,480
MONTHLY SAVINGS
Competitive Advantage

Native tools show the problem.
We solve it automatically.

Capability
☁️ AWS
Cost Explorer
☁️ GCP
Recommender
☁️ Azure
Cost Mgmt
⚡ CloudSave360
Auto-detect idle dev/stage envs
✗
✗
✗
✓AI pattern scan
Analyze 14-day traffic spike history
Partial
✗
Partial
✓14-day ML window
Auto-schedule shutdown / startup
✗
✗
Manual only
✓Fully automated
18-hour idle window detection
✗
✗
✗
✓Core feature
Cross-cloud unified view (AWS+GCP+Azure)
✗
✗
✗
PreviewAzure live
Zero-spike validation before scheduling
✗
✗
✗
✓Safety-first
Slack / Teams savings alerts
Budget alerts
✗
Budget alerts
✓Rich savings digest
Time to first saving
Weeks (manual)
Weeks (manual)
Weeks (manual)
< 1 hour
💡 Native tools are limited to their own cloud only and require engineers to manually act on recommendations. CloudSave360 acts on your behalf on Azure today — AWS & GCP are coming soon (preview, not yet live-verified).
How It Works

Five steps. From connection to savings in under an hour.

🔗
Connect Clouds
Azure OAuth (live) · AWS IAM / GCP SA — Coming soon (preview)
🔍
Discover Resources
AI maps all EC2, GCE, Azure VMs, RDS, Cloud SQL, and AKS clusters
📊
Analyze Patterns
14-day traffic spike analysis per environment — overnight, weekend, holiday windows
🗓
Auto-Schedule
Safe shutdown at 18:00, startup at 08:00 — validated by zero-spike history
💰
Track Savings
Real-time dashboard, monthly reports, Slack alerts — ROI visible from day one
What we analyze
📈
Traffic & CPU metrics
CloudWatch, Cloud Monitoring, Azure Monitor — 14-day rolling window per resource
🏷
Environment tags
Reads env=dev / env=stage / env=prod tags across all three clouds automatically
🕐
Peak vs idle windows
Identifies exact hours safe for shutdown with zero risk of disrupting live workloads
Safety guarantees
🛡
Zero-spike validation
Never schedules a shutdown unless 14 consecutive days show zero traffic in that window
⏰
Smart startup buffer
Boots environments 30 min before first detected usage — always ready when team arrives
🔔
Emergency override
Slack /wakeup command instantly spins up any env — no ops ticket, 2-minute SLA
Pricing & ROI

The optimizer pays for itself on day one.

Average customer saves $12,600/month from dev+stage alone. Our highest tier costs $499/month. The math is obvious.

Starter
Free
No credit card required
  • 1 cloud provider
  • Up to 10 resources
  • 14-day pattern analysis
  • Savings dashboard
  • Manual schedule creation
Est. savings
$0–$2K/mo
Get started free
★ Most Popular
Pro
$99
per month · up to 3 clouds
  • All 3 cloud providers
  • Up to 100 resources
  • Auto-schedule (fully automated)
  • Slack / Teams alerts
  • 18h idle window optimizer
  • /wakeup emergency override
  • Weekly savings reports
Est. savings
$5K–$15K/mo
Start Pro trial →
Team
$249
per month · unlimited resources
  • Everything in Pro
  • Unlimited resources
  • Multi-account / multi-org
  • RDS + Cloud SQL + Azure SQL
  • Kubernetes node-pool scaling
  • Audit log & compliance export
Est. savings
$15K–$40K/mo
Start Team trial →
Enterprise
$499+
per month · annual contract
  • Everything in Team
  • On-prem / VPC deployment
  • Custom ML model fine-tuning
  • SSO (SAML / OIDC)
  • Dedicated CSM + 99.9% SLA
  • FinOps API integration
Est. savings
$50K+/mo
Talk to sales →
Get Started

Your dev & stage envs are
burning money right now.
We stop that — today.

Connect CloudSave360 in under 10 minutes. Our AI SCAN engine scans your environments, validates 14 days of idle patterns, and creates the first auto-schedule — all before your next stand-up.

Start saving today →
18 hrs
Saved daily
75%
Cost reduction
Azure
Live · AWS/GCP soon
<10 min
To connect
[email protected] · 2026