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CL

Cleric

By Cleric

Cleric is a self-learning AI SRE that autonomously investigates production alerts and returns evidence-linked findings in Slack. It builds operational memory from prior investigations and engineer feedback while integrating with existing observability, CI/CD, and incident tooling.

Incident AIAIOps
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SummaryCapabilitiesEvidence3Sources2
Evaluation summary
The operational details available for an initial product screen.

Category

Incident AI / AIOps

Deployment

saas

Open source

No

Pricing

Unknown

Documented capabilities

Capability language comes from cataloged first-party material and is not performance testing.

Tests multiple root-cause hypotheses in parallel across production systems

Review the linked evidence below before relying on this capability in a pilot.

First-party source
Delivers Slack findings with supporting evidence and confidence scores

Review the linked evidence below before relying on this capability in a pilot.

First-party source
Builds operational memory from investigations and engineer feedback

Review the linked evidence below before relying on this capability in a pilot.

First-party source

Evidence

Expand a claim to see its interpretation, source count, and review date.

Tests multiple root-cause hypotheses in parallel across production systems
Documented

Documented in Official launch announcement. This confirms a first-party source for the capability; it is not independent performance testing.

1 sourceChecked 2026-07-10View source
Delivers Slack findings with supporting evidence and confidence scores
Documented
Builds operational memory from investigations and engineer feedback
Documented

Sources

Primary documentation and first-party pages used for this profile.

Official launch announcement

Cleric · First-party source · 2026-07-10

Official product architecture article

Cleric · First-party source · 2026-07-10

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Official resources
Cataloged first-party destinations. These links are not independent evidence.
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