Govern LLM spend before it happens, reconcile usage after it lands, and keep your cloud cost story in the same finance-grade platform.
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Cloptima combines a low-latency AI gateway with finance-grade 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 invoices.
Bring-your-own-key routing, approved models, token limits, guardrails, and budget controls
Break down cost by provider, model, team, app, agent session, tool, and source
Track runs, retries, tool calls, and runaway-loop risk before agents burn budget
Export usage with pricing source, credits, contract discounts, margins, and cloud cost context
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.
Unified view across AWS, GCP, Azure with normalized metrics
Map costs to teams automatically — no tagging nightmare
Set granular budgets with Slack, email, and Jira notifications
Export to your org's FinOps tools for internal billing
A developer's dashboard query JOINed two unpartitioned tables — 47TB scanned per execution. Ran 4 times a day during testing. $8,200 burned in one week. Nobody noticed until the monthly invoice arrived.
With Cloptima, you'd catch it on the first run. Per-query cost tracking surfaces expensive patterns in real-time, flags repeated offenders, and recommends optimizations — before costs spiral.
Cloptima logs every query — who ran it, bytes scanned, and what it cost
Cloptima analyzes query patterns and suggests rewrites that cut costs by 40-80%
Cloptima alerts instantly when a query scans more data than expected
Cloptima spots trends — repeated queries, peak hours, cost distribution by user
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.
Cloptima posts cost impact analysis directly on your PRs before merge
Cloptima pinpoints which deployment caused Tuesday's $5K spike
Relate GitHub repos to applications — charge teams when their apps drive costs up
Cloptima blocks merges that exceed cost thresholds — configurable per repo
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.
Costs per namespace, workload, and pod across all clusters
Cloptima suggests optimal sizes with confidence scores and safety analysis
Cloptima finds underutilized resources, unattached volumes, and orphaned LBs
One dashboard for all clusters — compare costs and utilization side by side
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.”
Turn every deploy, query, and cluster change into measurable cloud savings.
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