Somebody should be reading the whole bill

Budgets leak in four places at once: cloud, Kubernetes, GPUs, and now LLM agents. Most teams measure one of them. We are building the control plane that reads all four.

What we are building

Any team can tell you their cloud bill. Very few can tell you what share of last month's GPU hours did no work, or which agent paid for the same system prompt on every single run. The spend is visible. The waste inside it is not.

CoverOps puts a price on that waste: idle resources, training runs starved on data loading, endpoints holding a GPU between requests, agents billing in full for answers nobody read. Each one becomes a number with a fix attached, worked out through a scoped role in your own account.

The constraint we hold ourselves to is portability. Nothing we produce needs us to keep running. Revoke the role and every change is still there, as Terraform, in your repo.

Where we actually are

Pre-launch. A few design partners on real production workloads, and no self-serve signup yet.

If you are evaluating us, ask three things: what works today, what does not, and how you get your infrastructure back out. We will answer all three plainly on the contact page, and the roadmap already answers the second.

How we build it

Automation over headcount: If a task happens twice, it belongs in code. The answer to operational load is better software, not a longer on-call rota.
No black boxes: Findings arrive as readable Terraform in your repo. Read what we propose, reject it, or apply it without us.
Your account, your keys: We do not host your workloads. We work through a scoped role in your own account, and every action lands in your audit log.
Defaults over theatre: Least privilege, private networking and secret rotation are defaults, not upgrades, and they are enforced on every apply so config cannot drift.