Product

Everything you need to find, explain, and act on cloud costs.

SpendSage covers the full path from raw billing data to a ranked, risk-scored savings recommendation, built for engineering teams managing AWS at scale.

Cost visibility

A clear view of spend by service, team, region, and time, updated as your infrastructure changes.

Waste detection

Idle EC2 instances, unused EBS volumes, stale snapshots, and unattached Elastic IPs, found automatically.

Anomaly detection

Unusual cost changes are flagged as soon as they diverge from your normal spending pattern.

AI cost analysis

Ask what changed in plain language and get a root-cause explanation for cost spikes.

Savings recommendations

Ranked recommendations with an estimated monthly saving and a risk level for each one.

Forecasting

Track cost trends over time and see where spend is headed before the bill arrives.

Resource optimization

Rightsizing suggestions for compute, storage, and database resources based on real usage.

Approval-based automation

Review and approve optimizations, with Terraform and pull request generation on the roadmap.

Coming soon
Cost visibility

See spend the way your team actually thinks about it.

Break down cloud spend by service, account, team, and region, with trends over time instead of a single flat number.

  • Service, region, and team breakdowns
  • Historical trend tracking
  • Updated as infrastructure changes
Monthly spend

$42,800

Waste detection

Find waste before it becomes next month's bill.

SpendSage continuously scans your connected accounts for resources that are idle, unattached, or oversized for what they're actually doing.

  • Idle EC2, unused EBS, stale snapshots
  • Unattached Elastic IPs
  • RDS and Lambda right-sizing
Detected this week
Idle EC2 · m5.xlarge Low risk
Unattached EBS · 200GB Low risk
Oversized RDS instance Review
Anomaly detection & AI analysis

Ask why costs changed, not just that they did.

When spend moves outside its normal range, SpendSage flags it immediately and lets you ask follow-up questions in plain language.

  • Automatic spike and dip detection
  • Natural language root-cause chat
  • Links spikes back to specific resources
Ask SpendSage
Why did spend jump on Tuesday?
A 3x increase in EC2 usage in us-east-1, driven by an autoscaling event on the checkout service.
Savings recommendations

Every recommendation comes with a number and a risk level.

No generic advice. Each recommendation is ranked by estimated monthly savings so your team knows what to act on first.

  • Estimated monthly savings per action
  • Risk level for every recommendation
  • Ranked so the biggest wins surface first
Top recommendation

Rightsize 4 EC2 instances

Estimated monthly savings: $1,240

Low risk
Built for engineering teams • Secure cross-account connection • No passwords required • Analysis before automation

See what SpendSage finds in your AWS account.

Connect an account and get your first savings recommendations.

Get started