We're building the measurement layer that separates productive compute from idle or wasted capacity.
Get in touchAs compute becomes a tracked economic resource — compute exports, compute governance, capacity budgets — most organizations still can't answer a basic question: how much of what we're spending is actually productive?
Idle capacity, redundant jobs, and misallocated workloads hide inside compute bills that only show totals, not outcomes.
A clear line between compute that's doing useful work and capacity that's sitting idle or duplicated.
Metrics and reporting built for teams that need to justify compute spend, not just monitor it.
One view across cloud, on-prem, and specialized AI infrastructure providers.
Output formatted for the compute-governance conversations increasingly required by policy and leadership.
AI infrastructure budgets are one of the fastest-growing line items at most technology organizations.
Policy and internal governance conversations increasingly require organizations to account for how compute is used.
Idle and redundant capacity is easy to miss when the only visibility is a total bill.
We're early and building selectively. If compute accountability is a live problem on your team, we'd like to talk.