Cleric

Cleric

AI-driven SRE platform triaging alerts

About Cleric

Simplify's Rating
Why Cleric is rated
C+
Rated C on Competitive Edge
Rated B on Growth Potential
Rated C on Differentiation

Industries

Enterprise Software

AI & Machine Learning

Company Size

11-50

Company Stage

Seed

Total Funding

$9.8M

Headquarters

San Francisco, California

Founded

2023

Overview

Cleric is an AI-powered service reliability engineering (SRE) platform that automatically triages and diagnoses alerts from production applications running in Kubernetes and cloud environments. It eliminates the need for manual investigation by providing a self-service tool that prioritizes critical issues and suggests root causes, without relying on runbooks. The product integrates into existing cloud workflows and supports subscription-based provisioning for enterprises, helping them reduce downtime and keep operations stable. Cleric aims to let product teams focus on building features while the platform handles operational reliability at scale.

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Simplify's Take

What believers are saying

  • BlaBlaCar reports faster resolutions since early 2025 with pattern surfacing.
  • Early adopters free 20-30% engineering capacity for code shipping.
  • Vertex led $5.5M seed in 2024, totaling $9.8M funding.

What critics are saying

  • Datadog embeds root cause analysis, locking customers in 3-6 months.
  • Cisco and Microsoft commoditize triage via Azure stacks in 6-12 months.
  • AI hallucinations in Kubernetes erode trust, causing churn in 12-24 months.

What makes Cleric unique

  • Cleric autonomously triages thousands of alerts using real-time knowledge graphs.
  • Self-learning AI captures tribal knowledge from incidents via LangSmith feedback.
  • Integrates with 10+ tools like Datadog and Prometheus without environment changes.

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Funding

Total Funding

$9.8M

Above

Industry Average

Funded Over

1 Rounds

Seed funding is usually the first official round after pre-seed, when a startup has a prototype or concept. It’s typically used to develop the product, test the market, and start building the team. Investors here are often angel investors or early-stage venture capitalists.
Seed Funding Comparison
Above Average

Industry standards

$3.3M
$2M
Netflix
$2.3M
Instacart
$3M
Robinhood
$5.5M
Cleric

Benefits

Flexible Work Hours

Remote Work Options

Wellness Program

Mental Health Support

401(k) Retirement Plan

401(k) Company Match

Conference Attendance Budget

Professional Development Budget

Family Planning Benefits

Fertility Treatment Support

Company News

Medium
Dec 9th, 2025
Reinventing SRE with AI: Our Investment in Cleric

We’re excited to share that Vertex Ventures US has led a new $5.5M seed round in Cleric, bringing total funding to $9.8M.

Cleric
Nov 12th, 2025
Cleric Named a Cool Vendor in the 2025 Gartner(R) Cool Vendors(TM) in AI for SRE and Observability

Cleric named a Cool Vendor in the 2025 gartner(r) Cool vendors(tm) in AI for SRE and Observability. Cleric has been named a Cool Vendor in the 2025 Gartner Cool Vendors in AI for SRE and Observability report. Cleric see this as validation of its approach to building a self-improving AI SRE. When Cleric started Cleric, Cleric 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 - 3x more code while the cognitive work of understanding production stayed stubbornly manual. The gap between development velocity and operational capacity was widening fast. Cleric built Cleric to close that gap. Today, Cleric is pleased to share that Cleric has been named as a Cool Vendor in its October 2025 report "Cool Vendors in AI for SRE and Observability." Industry recognition. According to the Gartner research, "Heads of Infrastructure and IT Operations (I&O) can use this report to identify providers using AI to enhance SRE practices, improve reliability, and reduce the cognitive load on engineering teams." Cleric believe this is a validation of its approach: that operational intelligence needs to learn continuously from every investigation, not just critical incidents. The core problem. 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. Its approach. 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. Proven at scale. Cleric is working with enterprise customers including BlaBlaCar, processing thousands of investigations per month. Teams are reclaiming significant engineering capacity that was previously lost to repetitive operational firefighting. The compounding effect Cleric 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. What's next. Cleric is expanding to serve 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, Cleric should talk. Gartner, "Cool Vendors in AI for SRE and Observability," Hassan Ennaciri, Uzair Amin, Chris Saunderson, Daniel Betts, 2 October 2025 Gartner does not endorse any vendor, product or service depicted in its research publications, and does not advise technology users to select only those vendors with the highest ratings or other designation. Gartner research publications consist of the opinions of Gartner's Research & Advisory organization and should not be construed as statements of fact. Gartner disclaims all warranties, expressed or implied, with respect to this research, including any warranties of merchantability or fitness for a particular purpose. GARTNER is a registered trademark and service mark, and COOL VENDOR is a trademark and service mark, of Gartner, Inc. and/or its affiliates in the U.S. and internationally and are used herein with permission. All rights reserved. Ready to give your on-call a headstart? Start for free, or talk to Cleric about a plan built for your team's scale and security needs. (C) Cleric 2025

PR Newswire
Mar 21st, 2024
Cleric Unveils The First Autonomous Ai Site Reliability Engineer

Cleric's AI SRE teammate runs 24/7, triages 1,000s of alerts simultaneously, and only takes five minutes to solve issues in complex cloud infrastructures.Co-founders (Gojek DevOps & ML platform leader + Tecton Principal Engineer & creator of Feast OSS) raise $4.3M in Seed funding, led by Zetta Venture Partners.To transform your organization's productivity, request early access at cleric.io .SAN FRANCISCO, March 21, 2024 /PRNewswire/ -- Cleric announced today the first autonomous AI site reliability engineer (SRE) teammate to free engineering teams from the burden of providing on-call support. Cleric has secured $4.3M in Seed funding led by Zetta Venture Partners with participation from AI infrastructure angel investors including leaders at Google Cloud, Sysdig, Tecton and Neo4J.Cleric co-founders Shahram Anver (CEO) and Willem Pienaar (CTO).Engineering teams managing large-scale, sprawling infrastructure are burdened with on-call support, detracting from their core tasks. This not only imposes a heavy cognitive load but it consumes nearly 80% of tech companies' resources and budgets. Cleric's co-founders, Shahram Anver and Willem Pienaar, saw firsthand the challenges that product and platform teams faced while managing the sprawling infrastructure at Gojek.Cleric eliminates these challenges by enabling engineering teams to resolve orders of magnitude and many issues in a fraction of the time. Cleric operates 24/7, autonomously navigating complex infrastructure and observability systems to identify the root cause of an issue within minutes. It integrates various data sources like code, documentation, and logs to provide a root cause and resolution suggestions with supporting evidence."For the first time, AI can use judgment to operate tools on our behalf

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