Teams Putting AI Spend Under Control
How teams connect AI spend to its real causes and act before the invoice.
Trusted by fast-moving engineering and AI teams
Adster, Inc.
AdTechChallenge
Adster runs its own agents in production and wanted an AI teammate for engineering work. Both needed limits that Adster sets, not limits that the agent sets.
Solution
Adster's agents and Duet send every model call through Cloptima. Agent runs have caps on tool calls, retries, and loops. Duet works from Slack in its own sandbox and opens draft pull requests. One set of rules, guardrails, and spend limits covers both.
Results
“We run our own agents and Duet through Cloptima, under one set of rules. Our agents have hard caps on tool calls and retries per run, and Duet turns a Slack thread into a draft pull request without ever holding our keys. Every task is logged with its cost, so agent work never surprises us on the invoice.”
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.”
Join These Teams
Bring LLM FinOps, governed model access, and guardrails into one operating model.