What is Cleric?
Cleric is an autonomous AI site reliability engineer built for engineering and SRE teams who want faster, less manual incident diagnosis across complex production systems.
Positioned as the AI SRE that learns, Cleric continuously investigates production alerts, performs root-cause analysis, and delivers actionable findings directly in Slack with links to supporting evidence, so engineers can move quickly to resolution.
It maintains a knowledge graph of infrastructure relationships and a reasoning engine that leverages existing observability tools, and a defining feature is operational memory: Cleric learns from every investigation and reuses those diagnostic patterns across systems and teams over time.
The platform runs in read-only mode and integrates via APIs with existing observability, CI/CD, and incident tooling, including platforms like Datadog and Grafana, which lowers the risk of taking unwanted actions on production.
According to the company, Cleric delivers fast time to root cause, a high rate of actionable findings, and has run large numbers of production-grade investigations, and it has been recognized as a Gartner Cool Vendor in AI for SRE and observability.
Typical use cases include triaging noisy alerts, accelerating root-cause analysis, debugging deployment failures, and capturing institutional knowledge. Pros include a safe read-only design, learning that improves over time, and Slack-native findings backed by evidence.
Cons include that it focuses on diagnosis rather than autonomously executing fixes, and that value depends on having mature observability data already in place. Pricing is enterprise-oriented and not fully public, following a subscription model. Pricing changes often, so check the official site for current plans.
Key features of Cleric
- Autonomous alert investigation with root-cause analysis
- Evidence-backed findings delivered directly in Slack
- Operational memory that learns and reuses diagnostic patterns
- Read-only operation that integrates via APIs
- Knowledge graph of infrastructure relationships
- Integrations with observability tools like Datadog and Grafana
Cleric pros and cons
| Pros | Cons |
|---|---|
| Safe read-only design reduces risk to production | Focuses on diagnosis rather than autonomously executing fixes |
| Learns from every investigation and improves over time | Value depends on having mature observability data in place |
| Slack-native findings with links to supporting evidence | — |
Cleric pricing
Cleric is offered on subscription plans. Pricing changes often, so check the official site for the latest plans and any free trial before you buy.
Who is Cleric for?
Cleric is best suited for the autonomous ai sre that learns from every incident. Whether you are trying this kind of coding & development tool for the first time or use one every day, it is a credible option to shortlist — compare it with the alternatives and head-to-head comparisons linked on this page to find the best fit for your workflow and budget.
Cleric at a glance
| Detail | Summary |
|---|---|
| Category | Coding & Development |
| Pricing model | Subscription |
| Free option | No |
| Best for | The autonomous AI SRE that learns from every incident |
| User rating | Not yet rated |
