Spot unexpected cost spikes before it hurts budget
AI-powered anomaly detection helps you identify unusual cost spikes, so you stay on budget and improve accountability across teams.
Across customer base
5,558
Anomalies caught
$401.74
Average anomaly cost per hour
$1.2M
Total anomalous spend captured (annualized)
Budgets go off track due to late visibility into spikes
Manual reviews delay action and inflate bills
Why traditional cost monitoring fails
Finance teams struggle to pinpoint which team caused overspend
Engineers lack feedback to correct issues early
Detect cost spikes automatically and take control
AI-powered anomaly detection helps you identify unusual cost.
Eliminate unexpected Azure bills
Get ahead of surprise invoices by automatically detecting and alerting unusual spending patterns. We continuously monitor your Azure usage and flags deviations before they become budget breakers.
Drive cost accountability across teams
Keep engineering and finance aligned. Notify specific teams, app owners, or departments when their workloads cause sudden cost spikes, encouraging timely actions.
Granular guardrails for every business unit
Define thresholds, trigger anomaly alerts, and set escalation workflows when costs breach expected baselines. Ensure every segment of your organization stays within budget boundaries.
Instant cost feedback for engineers
Give your developers visibility into real-time cost impact. Whether a new deployment or scale-up event causes unexpected usage, they’ll see it immediately helping them optimize without waiting for monthly reports.
