Cleric announced an 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 enables 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. We've unlocked a new level of automation that frees up engineers to focus on higher-value work," said Shahram Anver, CEO and co-founder of Cleric.
"The way our AI agent solves problems is fundamentally different from a human. Just as AI transformed strategies in games like Chess and Go, we foresee a similar shift in engineering operations with the introduction of AI teammates," said Willem Pienaar, CTO and co-founder of Cleric.
Cleric is leveraging its funding to scale R&D efforts in its San Francisco and Singapore offices, with a focus on expanding its suite of integrations and fostering strategic partnerships.
"Shahram, Willem, and the Cleric team hold iconoclastic beliefs about how language model agents will reshape engineering tasks like incident response, observability, and infrastructure provisioning," said James Alcorn, Partner at Zetta Venture Partners. "Zetta was immediately attracted to those bold ambitions, and is thrilled to help make them a reality as Cleric's seed partner."
Cleric is in early access.
The Latest
According to Auvik's 2025 IT Trends Report, 60% of IT professionals feel at least moderately burned out on the job, with 43% stating that their workload is contributing to work stress. At the same time, many IT professionals are naming AI and machine learning as key areas they'd most like to upskill ...
Businesses that face downtime or outages risk financial and reputational damage, as well as reducing partner, shareholder, and customer trust. One of the major challenges that enterprises face is implementing a robust business continuity plan. What's the solution? The answer may lie in disaster recovery tactics such as truly immutable storage and regular disaster recovery testing ...
IT spending is expected to jump nearly 10% in 2025, and organizations are now facing pressure to manage costs without slowing down critical functions like observability. To meet the challenge, leaders are turning to smarter, more cost effective business strategies. Enter stage right: OpenTelemetry, the missing piece of the puzzle that is no longer just an option but rather a strategic advantage ...
Amidst the threat of cyberhacks and data breaches, companies install several security measures to keep their business safely afloat. These measures aim to protect businesses, employees, and crucial data. Yet, employees perceive them as burdensome. Frustrated with complex logins, slow access, and constant security checks, workers decide to completely bypass all security set-ups ...
In MEAN TIME TO INSIGHT Episode 13, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA discusses hybrid multi-cloud networking strategy ...
In high-traffic environments, the sheer volume and unpredictable nature of network incidents can quickly overwhelm even the most skilled teams, hindering their ability to react swiftly and effectively, potentially impacting service availability and overall business performance. This is where closed-loop remediation comes into the picture: an IT management concept designed to address the escalating complexity of modern networks ...
In 2025, enterprise workflows are undergoing a seismic shift. Propelled by breakthroughs in generative AI (GenAI), large language models (LLMs), and natural language processing (NLP), a new paradigm is emerging — agentic AI. This technology is not just automating tasks; it's reimagining how organizations make decisions, engage customers, and operate at scale ...
In the early days of the cloud revolution, business leaders perceived cloud services as a means of sidelining IT organizations. IT was too slow, too expensive, or incapable of supporting new technologies. With a team of developers, line of business managers could deploy new applications and services in the cloud. IT has been fighting to retake control ever since. Today, IT is back in the driver's seat, according to new research by Enterprise Management Associates (EMA) ...
In today's fast-paced and increasingly complex network environments, Network Operations Centers (NOCs) are the backbone of ensuring continuous uptime, smooth service delivery, and rapid issue resolution. However, the challenges faced by NOC teams are only growing. In a recent study, 78% state network complexity has grown significantly over the last few years while 84% regularly learn about network issues from users. It is imperative we adopt a new approach to managing today's network experiences ...
From growing reliance on FinOps teams to the increasing attention on artificial intelligence (AI), and software licensing, the Flexera 2025 State of the Cloud Report digs into how organizations are improving cloud spend efficiency, while tackling the complexities of emerging technologies ...