Coreoptimizer is a small team of operators and systems engineers building the optimization layer for AI infrastructure. We're in stealth, talking to a careful few, but the discipline is anything but secret.
Every cluster has a local minimum, the point where compute, cost, and reliability briefly agree.
Most teams never find it. Fewer hold it. We make that point easy to find and stubborn to leave, not with another dashboard, and not by asking you to touch a single manifest, but by rebuilding the control plane underneath your workloads, layer by quiet layer, until each one earns its place.
Optimization that asks you to rewrite code isn't optimization; it's migration. We work strictly beneath your workloads.
We earn the next decision each time we make one. Anything we change rolls back in a single command, fully logged.
The people writing the scheduler are the people who've carried the pager. We build for the on-call, because we are the on-call.