One Platform for LLM FinOps
Govern LLM spend before it happens, reconcile usage after it lands, and keep your cloud cost story in the same reconciliation-ready platform.
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Govern Every Model Call Before It Hits Your Bill
Cloptima combines a low-latency AI gateway with reconciliation-ready usage attribution. Bring your own OpenAI, Anthropic, Gemini, Vertex, or Bedrock keys, set model and budget policies, and tie LLM usage back to teams, apps, agents, and provider bills.
Governed AI Gateway
Bring-your-own-key routing, approved models, token limits, guardrails, and budget controls
LLM Spend Analytics
Break down cost by provider, model, team, app, agent session, tool, and source
Agent Cost Controls
Track runs, retries, tool calls, and runaway-loop risk before agents burn budget
Finance-Ready Reporting
Export usage with pricing source, credits, contract discounts, margins, and cloud cost context
Multi-Cloud FinOps, Unified
AWS, GCP, Azure — one dashboard. Team cost attribution without manual tagging. Budgets that actually alert before you overspend. Integration back to your org's FinOps tools for seamless chargebacks.


Multi-Cloud Cost Dashboard
Unified view across AWS, GCP, Azure with normalized metrics
Team Cost Attribution
Map costs to teams automatically — no tagging nightmare
Budgets & Alerts
Set granular budgets with Slack, email, and Jira notifications
Chargeback Integrations
Export to your org's FinOps tools for internal billing
Every Query Has a Price Tag
A developer's query JOINed two unpartitioned tables, scanning 47TB per run and burning $8,200 in a single week. Per-query cost tracking surfaces expensive patterns in real-time, flags repeated offenders, and recommends optimizations — before costs spiral.
Per-Query Cost Tracking
Cloptima logs every query — who ran it, bytes scanned, and what it cost
Optimization Engine
Cloptima analyzes query patterns and suggests rewrites that cut costs by 40-80%
Cost Anomaly Alerts
Cloptima alerts instantly when a query scans more data than expected
Usage Pattern Analysis
Cloptima spots trends — repeated queries, peak hours, cost distribution by user
Every PR Has a Price Tag
Your code changes infrastructure. Infrastructure changes costs. Cloptima closes the loop — every PR gets an automated cost impact comment before merge. When costs spike after a deploy, Cloptima traces it back to the exact commit.
PR Cost Comments
Cloptima posts cost impact analysis directly on your PRs before merge
Deploy → Cost Correlation
Cloptima pinpoints which deployment caused Tuesday's $5K spike
App-Level Chargebacks
Relate GitHub repos to applications — charge teams when their apps drive costs up
Cost Guardrails
Cloptima blocks merges that exceed cost thresholds — configurable per repo
See What Every Pod Actually Costs
35% of Kubernetes spend is overprovisioned. Cloptima shows costs per namespace, workload, and pod — then recommends exactly what to optimize with confidence scores and safety analysis.
Namespace Cost Breakdown
Costs per namespace, workload, and pod across all clusters
Rightsizing Recommendations
Cloptima suggests optimal sizes with confidence scores and safety analysis
Idle Resource Detection
Cloptima finds underutilized resources, unattached volumes, and orphaned LBs
Multi-Cluster Monitoring
One dashboard for all clusters — compare costs and utilization side by side
Connects to Your Stack
Model providers, cloud providers, data warehouses, and your development workflow
“Cloptima flagged a recurring BigQuery join that was costing us thousands every week. We optimized the query in a day — savings paid for the platform in the first month.”
“When one of our core services started burning through CPU, Cloptima’s anomalies caught the spike instantly. It correlated the cost jump to a deploy that morning, and traced it straight to the GitHub PR. We fixed the performance regression before it dented our runway.”
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Turn every model call, deploy, query, and cluster change into measurable savings.
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