Cleric

Cleric is an autonomous AI site reliability engineer (SRE) for engineering teams and on-call responders who need faster, evidence-backed production incident investigation across complex infrastructure.

Key capabilities include:

• Autonomous root cause analysis that forms hypotheses, queries logs, metrics, traces, alerts, and Kubernetes state, then reports findings with supporting evidence in Slack and other messaging tools
• Real-time architecture and dependency mapping that builds a model of services, ownership, and failure modes from existing observability signals, without requiring configuration changes
• Operational memory (continuous learning) that captures reusable diagnostic skills and tribal knowledge from past investigations so future triage improves over time
• Read-only, API-based integrations (no agents) with tools such as Datadog, Prometheus, GitHub, PagerDuty, Linear, designed to handle many investigations concurrently

Pricing: Team $700/month (1,400 credits), Pro $1,500/month (3,000 credits), Scale $3,000/month (6,000 credits), Enterprise custom; free trial with 1,000 evaluation credits.

Notable for its read-only by default, auditable incident investigations and its focus on self-learning operational memory. It is also backed by Zetta Venture Partners (seed round) and has been named a Gartner Cool Vendor 2025 in AI for SRE and Observability.