Trusted by engineering and platform teams at

Without continuous optimization, waste creeps back. New instances launch oversized. Test environments outlive their purpose. Manual cleanups only reset the clock.
By month 12, the gap is 33% of total spend. On $100K/mo, that's $33K/mo — $396K/year — recovered continuously, not as a one-time audit.
Jetscale AI doesn't optimize once. The agentic platform monitors for drift, flags policy violations, and generates fresh Terraform-ready remediations as your infrastructure evolves.
Jetscale AI Analyzer Agent scans your cloud footprint, surfaces optimization opportunities, and ranks them with clear, evidence-backed context.
JetScale AI generate a structured plan for each optimization: what will change, expected impact, and the safest path to rollout.
JetScale’s agentic workflow converts the plan into Terraform-ready changes or/and clickable instruction with clear diffs so fixes can be reviewed, versioned, and rolled out like software.




Jetscale AI doesn’t stop at reporting. It turns opportunities into Terraform-ready remediation changes, so teams can implement fixes through normal engineering workflows.
No. Monitoring shows signals and incidents. JetScale uses those signals (plus cost and configuration context) to generate optimization recommendations and fixes.
Jetscale AI identifies common and uncommon sources of cloud inefficiency (compute sizing, storage waste, database configuration) and turns them into Terraform-ready remediations.
Jetscale AI produces reviewable code and structured plans so teams can validate scope, test safely, and confirm impact after rollout reducing the risk of “blind” changes.
No. Jetscale AI is read-only in your cloud environment. It generates reviewable, fix-ready IaC code (e.g., Terraform) that your team can merge and deploy through your existing engineering workflow.