Smart Optimization, Not Guesswork
AI-powered recommendations with confidence scores and safety analysis. Know exactly what to optimize and how much you'll save.
Recommendations only matter if you trust them enough to act.
Most cost tools generate a long list of suggestions that teams ignore — because acting on the wrong one breaks production. Cloptima scores every recommendation on confidence (from real utilization) and safety (risk to the workload), shows the evidence behind it, and flags high-risk changes like downsizing a stateful database. The easy wins become obvious; the risky ones are clearly marked.
- Confidence scored from actual usage, not list prices
- Safety analysis — low / medium / high risk per change
- Evidence shown: current vs recommended, with projected savings
- Rightsizing, commitments, idle cleanup, and storage tiering in one place
Rightsizing
Downsize overprovisioned instances based on actual CPU and memory utilization. Each recommendation shows current vs recommended size with monthly savings.
Reserved Instances & Savings Plans
Identify steady-state workloads that benefit from commitments. Cloptima recommends the optimal commitment level based on 30-90 day usage patterns.
Idle Resource Cleanup
Detect resources running at <10% utilization, unattached volumes, idle load balancers, and unused elastic IPs. Each flagged with estimated monthly waste.
Storage Optimization
Recommend S3 lifecycle policies, EBS volume type changes (gp2→gp3), and storage tiering based on access patterns.
Safety Analysis
Every recommendation includes a safety score: Low/Medium/High risk. High-risk changes (like downsizing production databases) are flagged with detailed impact analysis.
Confidence Scoring
AI confidence level (1-100%) based on data quality, observation period, and workload stability. Only high-confidence recommendations are surfaced by default.
FAQ
Start Getting Smarter Recommendations
Bring LLM FinOps, governed model access, and cloud cost optimization into one operating model.