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AI-native product · Any entry point

Incidents found, fixed
and closed — by AI.

Reduce noise. Find root cause. Automate remediation — with humans in the loop.

AI agents correlate events, isolate the cause and remediate against your runbooks — engineers own outcomes, not tickets.

Value in days
Book a Demo → See the Operating Model
What you get

AIOps — designed for outcomes.

Event correlation

Thousands of alerts collapse into the handful of incidents that matter.

Root-cause analysis

AI isolates the failing layer across app, infra and network — with the evidence attached.

AI-assisted remediation

Known issues self-heal against approved runbooks; novel ones arrive with a proposed fix.

Proactive alerting

Predict-and-prevent replaces react-and-firefight.

The AIOps loop

How it lands.

Observeeverything ingested
Correlatenoise collapsed
Decideroot cause found
Remediaterunbooks executed
Learnknowledge compounds

Every resolution feeds the knowledge graph — the loop never stops improving.

Reactive firefighting
Alert stormsManual triageEscalation chainsRepeat incidents
→
Autonomous operations
Correlated incidentsRoot cause attachedRunbooks executedKnowledge compounds
Proof, not promises

The numbers that matter.

90%+Incident resolutionautomated end to end
60%+Ops ticketsauto-resolved by AI
ZeroTicket-driven opsthe queue disappears
Raw eventseverything observed
Correlated incidentsnoise collapsed
Auto-remediatedrunbooks executed
Human decisionsengineers own outcomes
In the product

One command center.
Everything observable.

Observe. Decide. Act. Continuously improve.

AI command center visual
Start where your pain is

Build your next operating
model with blaZop.

Deliver value in days or weeks — on the infrastructure you already own.

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