01 / Problem

AI Infrastructure is Breaking Teams

Every enterprise scaling AI is hitting the same three walls — simultaneously.

73%

of AI outages traced to misconfigured infra

Teams discover broken model serving pipelines hours after deployment — not seconds. By then, user trust is gone.

$847K

avg wasted cloud spend per 100-person AI team/yr

GPU reservations held idle, oversized inference nodes, no visibility into per-model cost attribution.

4.2 hrs

mean time to resolution for AI infra incidents

Runbooks are stale. On-call engineers context-switch between 14 dashboards before finding the root cause.