How it works
A read-only role you create, every leak priced in rupees, and fixes only your team approves.
From read-only access to a smaller bill
Four steps, and you can stop after any of them. Nothing changes in your cloud until a named person on your team approves it.
- 1
Connect
Read-only, revocable
Apply the read-only access CoverOps generates, as Terraform, CloudFormation or a CLI script. Never a password. Delete it and access ends at once.
- 2
Free scan
₹0, in minutes
Your total waste per month and the top 3 findings on one account, before anyone pays anything.
- 3
The audit
From ₹24,999, within 3 working days
Every finding with its evidence and the exact fix, reviewed by an engineer. Refunded if it finds less monthly waste than its fee.
- 4
The plan
From ₹14,999 a month
We keep it fixed: monitoring, approved fixes with rollback, a monthly review. The audit fee is credited if you start within 60 days.
Where the money leaks
Cloud and Kubernetes first: that is most of an Indian startup's bill. GPU and LLM-agent spend use the same engine and are shown on demo data today.
- Cloud accounts
Idle and oversized cloud resources
“Last year's launch, still billing every hour.”
Unattached volumes. Oversized instances. Servers left running in a region nobody uses. Servers stopped but still paying for their disks. Every finding arrives priced in rupees, with the fix attached.
- Read-only access you create and can revoke: a role with an External ID on AWS, read-only credentials on Azure, GCP, DigitalOcean and Oracle Cloud. Never a password
- Every enabled region scanned, cost and utilisation per resource
- Kubernetes cost: not built yet, on the roadmap with the in-cluster agent
- Fixes applied only after your cloud team approves, each with a rollback
- MLOps
GPU hours nobody is watching
Demo data today“Your job is running. Your GPUs are idle.”
Teams watch whether a job is alive. Nobody watches accelerator utilisation. So eight H100s sit at 30% for a fortnight and the bill looks completely normal.
See the arithmetic- Runs under 35% utilisation get flagged as starved, not compute-bound
- Only the idle share is priced as recoverable
- Spot runs without checkpointing, where one preemption bins the epochs you paid for
- Endpoints under 25% utilisation, holding a GPU warm between requests
- AgentOps
LLM tokens billed for answers nobody read
Demo data today“A blocked run costs nothing. That is the whole saving.”
Cached tokens cost a tenth of fresh ones. Most teams have caching off, or a prompt prefix that shifts just enough to miss it every time.
See the arithmetic- Every run metered against the catalog. Fresh, cached and output priced apart
- Frontier models doing work a cheaper tier handles at 96% success
- Caching off, or hitting under a quarter of the time
- Looping and timed-out runs that billed in full for nothing
- Guardrails run before billing. A blocked run is a clean saving
- AIOps
Alert noise that costs engineers, not dollars
“One outage should page once. Not three times.”
Every metric is measured against its own rolling baseline, so a signal has to be unusual to register. Related anomalies collapse into one incident with a probable cause attached.
- A rolling baseline, not a threshold nobody tuned
- Anomalies inside five minutes become one incident
- Playbooks propose the fix, or apply it with the same audit trail
- Automation can only do what an operator could
It runs in your account
CoverOps reads your accounts; it never hosts them. Your workloads never leave your cloud, and the worst case of trusting us is a role you wrote and can delete.
What it can do
- Read your cloud, cluster, GPU and agent inventory to price what it costs
- Raise fixes as proposals: stop, rightsize, scale to zero, delete an idle volume
- Apply a proposal only after a named person approves it
- Collect the metrics, logs and traces you route to it
- Run the remediations you have explicitly switched on
What it cannot do
- Hold your cloud root credentials
- Run your workloads on machines we own
- Change a resource you have not tagged coverops:managed=true
- Read your application data or database contents
- Keep working after you revoke the role
- Your account, your resources
- Everything lives in your AWS, Azure, GCP, DigitalOcean or Oracle Cloud account: your billing, your regions, your policies.
- A scoped role, no stored keys
- Access is a role you create from a policy CoverOps generates, read-only by default. Write access is a separate, deliberate step.
- Your audit log sees everything
- We act through your provider's API, so CloudTrail and Azure Activity Log record what we did, when, and as whom.
- Evidence an auditor will accept
- Change history, approvals and policy results export as audit artefacts. CoverOps is not a certification and does not pretend to be.
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.