Compare

CoverOps against a spreadsheet, your cloud's own tools and the FinOps platforms, row by row, including the rows we lose.

Where we lose, and where we don't

Mature products already do cloud cost well. Nobody prices GPU and agent waste. That gap is why we exist, and it is why two of these rows go to someone else.

CoverOps compared with spreadsheets, cloud-native cost tools and FinOps platforms.
Spreadsheet + scriptsCloud-native cost toolsFinOps platformsCoverOps
Paid more when your bill growsNoYes, it is their billOften, priced as a share of spendNo. A fixed price set by your bill band (strongest)
Cloud cost visibilityManual, monthly, already staleGood, per providerExcellent, multi-cloud (strongest)Good, multi-cloud
Depth of cost reporting and chargebackNoneStrong within one cloudBest in class, years of maturity (strongest)Adequate, not our focus
GPU and accelerator wasteInvisibleShows the spend, not the utilisationShows the spend, not the utilisationPriced per starved run, with the fix (strongest)
LLM agent token spendInvisibleNot coveredNot coveredMetered per run, guardrails before billing (strongest)
Findings arrive with the change attachedNoRecommendations onlyRecommendations, mostly manual to applyEvidence, the fix and a rollback snapshot (strongest)
Acts on the finding, with approvalNoNoRarely, and rarely trustedPlaybooks that suggest or auto-apply (strongest)
Runs inside your own cloud accountN/AYes, by definitionUsually SaaS with read accessYes, through a revocable scoped role

Strongest on that line

Scan one cloud account, free.

Sign up and apply the read-only role CoverOps generates. In minutes you see your total waste per month and the top three findings, before anyone pays anything.