Teams Putting AI and Cloud Spend Under Control
From query optimization to AI FinOps governance — how teams connect spend to its real causes and act before the invoice.
Trusted by fast-moving engineering and AI teams
Stealth Data Startup
AI / Data Identity withheld — early-stage, pre-announcement.Challenge
BigQuery spend jumped after a new analytics pipeline shipped. The data team could see the bill climbing but had no per-query visibility into which jobs were responsible.
Solution
Cloptima's query optimization surfaced the worst offenders — SELECT * scans, missing partition filters, and a correlated subquery forcing nested scans — and returned concrete, copy-paste-ready rewrites with the projected saving per run.
Results
“Cloptima found query problems our data team didn't know existed. The refactored queries were copy-paste ready — we shipped the biggest one the same afternoon.”
Adster, Inc.
AdTechChallenge
One of Adster's core services started burning through CPU. Spend was creeping up, but tying the jump to a specific change meant trawling through deploys and dashboards after the fact.
Solution
Cloptima's anomaly detection caught the spike within hours, correlated the cost jump to a deploy that morning, and traced it straight to the GitHub PR that introduced the regression.
Results
“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.”
Pelora AI
AI SaaS · Midsize Name changed at the customer's request while fundraising.Challenge
AI features were shipping fast across several product teams, each with its own provider keys. Finance couldn't explain which app, model, or team drove the monthly LLM bill, and there was no consistent policy on which models were approved.
Solution
Cloptima became the AI FinOps control plane: a governed gateway with BYOK credentials and app-scoped virtual keys, per-team and per-model policies with budget limits, spend attribution by team/app/feature, and shadow-AI discovery to pull stray direct-provider usage into the governed path.
Results
“We went from 'the LLM bill is going up and we can't explain it' to budgets, ownership, and model policy that finance and engineering both trust. Onboarding our highest-spend apps took an afternoon.”
Stealth FinTech
FinTech Identity withheld at the customer's request.Challenge
There was no way to predict the cost impact of Kubernetes deployments. Teams would scale up, costs would spike, and nobody knew until the bill arrived.
Solution
PR cost impact analysis on every K8s manifest change, budget alerts per namespace, and team cost attribution made spend a normal part of code review.
Results
“PR cost impact changed how our engineers think about resources. They now check the cost comment like they check test results.”
Join These Teams
Bring LLM FinOps, governed model access, and cloud cost optimization into one operating model.