When we started Cleric, we made a prediction: the operational load on engineering teams would become unsustainable. Not because tools were missing, but because the devops model asks engineers to do two full-time jobs. Write code and own its reliability in production.
Most teams were already struggling to keep up. Then AI-accelerated development arrived, letting engineers ship 2–3× more code while the cognitive work of understanding production stayed stubbornly manual. The gap between development velocity and operational capacity was widening fast.
We built Cleric to close that gap. Today, we’re pleased to share that Gartner has named Cleric a Cool Vendor in its October 2025 report “Cool Vendors in AI for SRE and Observability.”
Gartner’s report recognizes vendors “using AI to enhance site reliability engineering (SRE) practices, improve reliability, and reduce the cognitive load on engineering teams.” We see this as validation of our approach: that operational intelligence needs to learn continuously from every investigation, not just critical incidents.
Engineering teams aren’t drowning in alerts because they lack observability tools. They’re drowning because investigations are still entirely manual. When something breaks, an engineer has to drop what they’re building, query logs, correlate metrics, check recent deployments, and reconstruct context about how these specific systems fail.
That context disappears the moment the issue resolves. Two weeks later, a similar issue appears, and someone starts from scratch. The operational work never compounds into anything useful.
This problem is fundamental to how most teams operate today. You’re expected to ship features and keep production running. Build and firefight. The context switching alone costs hours of focus time daily.
Cleric learns from every operational issue your team touches. It investigates alerts the same way an engineer would: querying logs, analyzing metrics, checking dependencies, correlating across sources. It delivers findings with direct links to evidence. When needed, engineers guide investigations through conversation.
The key difference is that every investigation builds operational memory. Cleric learns how your specific services fail, which signals matter in your stack, and which past incidents look similar. It gets smarter about your environment while your environment is changing.
We’re working with enterprise customers including BlaBlaCar, processing thousands of investigations monthly. Teams are reclaiming significant engineering capacity that was previously lost to repetitive operational firefighting.
The compounding effect we set out to achieve is working. Investigations that took 40 minutes now take 3. Patterns from past incidents prevent future ones. Engineers spend more time building and less time context-switching.
We’re expanding to more customers who recognize that operational work should get easier over time, not harder. If your team is caught between shipping faster and keeping production stable, we should talk.
Ready to see how Cleric works? Book a demo.
Cleric was named a Cool Vendor in Gartner’s October 2025 report “Cool Vendors in AI for SRE and Observability.”
GARTNER ATTRIBUTION:
Gartner, Inc., “Cool Vendors in AI for SRE and Observability,” Hassan Ennaciri, Uzair Amin, Chris Saunderson, Daniel Betts, 2 October 2025
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