Skip to main content

Products / Cloud Cost Optimization

SaveCloud AI

Beta

AI-driven cloud savings engine

Built from managing cloud infrastructure across dozens of client accounts, SaveCloud AI continuously analyses your AWS, Azure, and GCP usage and generates actionable savings recommendations. Most teams find 25–40% waste in the first scan.

The Problem

Cloud bills grow faster than the infrastructure that justifies them

1

Most organisations waste 30–40% of their cloud spend on oversized instances, forgotten resources, and suboptimal pricing plans — Gartner and Flexera both put this figure above $200B globally per year.

2

Cloud cost tools from AWS, Azure, and GCP are provider-specific, siloed, and overwhelmingly complex. They show you data — they don't tell you what to do.

3

FinOps as a practice requires dedicated headcount. Most engineering teams optimise reactively — after the monthly bill arrives, not before.

4

Reserved instance and savings plan decisions are high-stakes commitments made with spreadsheets and guesswork instead of forward-looking analysis.

Why We Built This

We saw the same waste in every client's cloud account.

As we onboarded new clients for DevOps and infrastructure engagements, one pattern repeated without exception: the cloud bill was 30–50% higher than it needed to be. Unused snapshots, oversized databases running at 5% CPU, test environments left running over weekends — the same categories of waste, every time.

Our engineers built optimisation scripts for internal use — tools to identify the biggest savings opportunities quickly without digging through five different AWS consoles. Over time, those scripts became a structured analysis framework. We added AI-based anomaly detection, savings plan modelling, and multi-cloud support.

SaveCloud AI is now in beta with early access clients. We are working through real cloud accounts with real teams, refining recommendations based on what engineers actually find actionable — not just theoretically correct.

Features

Stop guessing. Start saving.

Multi-Cloud Cost Analysis

Connect AWS, Azure, and GCP in minutes
Unified cost view across all cloud accounts
Tag-based cost allocation by team or project
Historical spend trending with 12-month look-back
Forecasted spend for budget planning

AI-Powered Recommendations

Rightsizing recommendations for EC2, VMs, and GCE
Idle and unattached resource detection
Oversized database instance analysis
Spot instance opportunity identification
One-click implementation for safe changes

Savings Plan Optimizer

Compute Savings Plans vs Reserved Instance modelling
Break-even analysis and payback calculation
Commitment coverage recommendations
Expiring reservation alerts
Annual savings projection reports

Anomaly Detection & Alerts

Real-time cost spike detection
Threshold-based budget alerts (Slack, email)
Unusual resource creation notifications
Daily and weekly digest reports
Runaway resource auto-stop (optional)

Use Cases

Who benefits from SaveCloud AI

AWS-Heavy Startups

Startups that scaled quickly on AWS and never had time to optimise. SaveCloud AI typically finds 25–40% savings within the first 30 days through rightsizing and unused resource cleanup.

Multi-Cloud Enterprises

Enterprises running workloads across AWS, Azure, and GCP who need a single pane of glass for cost visibility and a consistent optimisation methodology across providers.

DevOps & Platform Teams

Platform engineering teams who want proactive cost governance built into their workflows — with alerts that catch budget overruns before month-end surprises.

Finance & FinOps Teams

Finance teams that need accurate cloud cost allocation by business unit, project, and environment — without waiting for engineers to produce manual reports.

Want to see what you're wasting?

Join the SaveCloud AI beta. Connect your cloud account and get a free waste analysis within 24 hours — no commitment, no credit card.

Response within 2 business hours — Mon–Fri, 9 AM–6 PM IST