Cleric is an AI SRE platform designed to take on the investigative grunt work of production operations. When an alert fires, Cleric autonomously begins an investigation: it pulls relevant signals from logs, metrics, traces, and dashboards, forms hypotheses about what is wrong, and works toward a root cause the way a senior engineer would. The goal is to deliver actionable findings within minutes, so on-call engineers arrive at an incident already pointed at the likely cause rather than starting from a blank page.
A defining feature of Cleric is operational memory. Every investigation an engineer resolves becomes institutional knowledge the system retains and reuses, so Cleric gets better at diagnosing a given environment over time. This turns one-off incident resolutions into a compounding asset, helping teams preserve hard-won expertise even as staff change. Cleric reports high rates of actionable findings and very short time-to-root-cause in production environments.
Safety and trust are central to the design. Cleric operates read-only by default, investigating and recommending rather than taking destructive actions, and the company emphasizes security posture including SOC 2 compliance. It plugs into the tools teams already rely on, surfacing its conclusions in Slack and alongside existing monitoring dashboards so it fits naturally into established on-call workflows.
Cleric's traction was recognized when it was named a Gartner Cool Vendor 2025 in AI for SRE and Observability. The company raised a $5.5M seed round led by Vertex Ventures US, with participation from Zetta Venture Partners, bringing total funding to roughly $9.8M. As systems grow more complex and AI accelerates software delivery, Cleric positions itself as an always-on first responder that gives reliability teams senior-level investigative support at scale.