AI-Powered AWS · Google Cloud · Azure — one optimizer

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

CloudOptimizer AI finds every dollar being wasted — idle dev/stage compute, orphaned storage disks, oversized database plans, and reserved-but-unused resources — then acts on all of it automatically, across all three major clouds.

18 hrs
Saved per day, per env
75%
Compute cost reduction
3 clouds
AWS · GCP · Azure
<1 day
Time to first saving
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 ✓
CLOUDOPTIMIZER AI · by TPA Tech Labs · 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. CloudOptimizer AI 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

JARVIS Optimizer Engine — real-time cost intelligence.

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

JARVIS · 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
⚡ CloudOptimizer AI
by TPA Tech Labs
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)
✗
✗
✗
✓Single pane
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. CloudOptimizer AI acts on your behalf — cross-cloud, instantly, safely.
How It Works

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

🔗
Connect Clouds
AWS IAM role · GCP service account · Azure managed identity — read-only access
🔍
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
Technology

Built on enterprise-grade multi-cloud foundations.

AI pattern recognition for smart decisions. Native cloud SDKs for precise control. Real-time streaming for full transparency.

AI & ANALYSIS
🤖
Claude AI (Sonnet 4.6)
Pattern classification, anomaly detection, savings narrative generation
📊
CloudWatch / Cloud Monitoring / Azure Monitor
Native metric APIs — CPU, network, request rates per resource
🧠
14-Day ML Spike Detector
Rolling window analysis with statistical zero-spike validation before any action
CLOUD AUTOMATION
☁️
AWS SDK v3
EC2 start/stop, Auto Scaling suspend, RDS scheduler, EventBridge cron rules
☁️
GCP Client Libraries
Compute Engine start/stop, GKE node pool scale-to-zero, Cloud Scheduler
☁️
Azure SDK for Node.js
VM deallocate/start, VMSS suspend, Azure Automation runbooks
PLATFORM
⚡
Node.js · Express · SQLite
Async scheduling engine, SSE streaming, session-based multi-tenant auth
🌐
Microsoft OAuth 2.0
Sign in with Microsoft — customers connect their Azure subscriptions in one click
🔔
Slack + Teams Bot
Daily savings digest, /wakeup override, anomaly alerts, weekly ROI reports
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 CloudOptimizer AI in under 10 minutes. Our JARVIS 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
3 clouds
AWS · GCP · Azure
<10 min
To connect
[email protected] · TPA Tech Labs · 2026