AI Teammates Revolutionize Tech Fixes: Ciroos Raises $21M

Imagine an operations team that never sleeps, instantly spots anomalies, and fixes tech issues before most humans even notice them. That’s not science fiction—it’s the reality Ciroos is delivering with its new wave of agentic AI teammates for site reliability engineering (SRE) and DevOps. On June 3, 2025, Ciroos, a California-based startup founded just months earlier, announced it had raised $21 million in a funding round led by Energy Impact Partners and prominent angel investors. The mission? To let operations teams work faster, smarter, and more autonomously—with humans still firmly at the helm[1].

Why Agentic AI for Operations? The Real-World Need

Let’s face it: modern IT infrastructure is a beast. Cloud-native, distributed, and often running across multiple domains, today’s enterprise tech stacks are more complex than ever. That complexity translates to more incidents, more alerts, and, frankly, more headaches for SREs and DevOps engineers. Traditionally, these teams have had to rely on manual troubleshooting, reactive firefighting, and a lot of late-night coffee. But with the rise of multi-agentic AI, companies like Ciroos are flipping the script.

Ciroos’s AI-powered SRE Teammate is designed to reduce toil, investigate incidents, and explain anomalies—all while enabling autonomous operations. The platform is built for multi-domain environments, meaning it can handle everything from cloud to cybersecurity to networking, and it’s designed to give operations teams superpowers by augmenting—not replacing—their human expertise[1].

Founders with a Track Record and a Vision

Ciroos was founded in February 2025 by Ronak Desai, Amit Patel, and Ananda Rajagopal. These aren’t fresh-faced newcomers; they’re industry veterans with a collective track record of scaling businesses from zero to over $5 billion. Their resumes include leadership roles at Cisco, AWS, and Gigamon, and together they hold 84 patents across AI, observability, distributed systems, cloud, cybersecurity, and networking[1].

Shawn Cherian, partner at Energy Impact Partners, put it this way: “Ciroos represents a transformative approach that delivers immediate and measurable impact. The team’s deep domain expertise—both on the ground working with the SREs and in leadership at global enterprises—and their vision to automate, augment, and drive autonomous operations make them uniquely qualified to address challenges in this emerging space.”[1]

How Ciroos’s AI Teammate Works

So, what does the Ciroos SRE Teammate actually do? Picture a tireless assistant that monitors systems around the clock, spots unusual patterns before they become problems, and suggests—or even executes—fixes in real time. The AI is multi-agentic, meaning it can break down complex tasks into smaller, manageable actions, assign them to different “agents,” and orchestrate the results. This approach is particularly effective in large, distributed environments where problems can cascade quickly.

For example, if a cloud service experiences latency spikes, the AI might automatically analyze logs, check dependencies, and identify a misconfigured load balancer. It can then suggest a fix, or, with appropriate permissions, make the change itself—while keeping the human team informed every step of the way.

The Broader Landscape: AI in Operations

Ciroos is far from alone in recognizing the potential of AI for operations. Across the industry, companies are leveraging AI to automate incident management, improve observability, and reduce mean time to resolution (MTTR). In fact, just last month, AI-powered Siro announced a $50 million Series B funding round, bringing its total funding to $75 million. The sector is heating up, with investors eager to back solutions that promise to make enterprise IT more resilient and efficient[2].

But what sets Ciroos apart is its focus on multi-agentic AI and its commitment to keeping humans in control. While some platforms aim for full autonomy, Ciroos emphasizes augmentation—giving operations teams the tools they need to be more effective, not redundant.

Real-World Impact and Use Cases

The potential applications for Ciroos’s technology are vast. In large enterprises, where downtime can cost millions per minute, an AI teammate that can prevent or quickly resolve incidents is invaluable. Consider a global e-commerce platform during a major sales event: a spike in traffic could overwhelm servers, but with Ciroos’s AI, anomalies are detected and mitigated before customers even notice a slowdown.

Financial institutions, healthcare providers, and cloud service providers can all benefit from faster, more accurate incident resolution. And because the AI is designed to explain its reasoning, it also helps teams learn and improve their own processes over time.

The Human Element: Augmentation, Not Replacement

As someone who’s followed AI for years, I’ve seen plenty of hype about automation replacing jobs. But Ciroos is refreshingly clear: their goal is to make humans better at their jobs, not to make them obsolete. The platform is built to empower SREs and DevOps engineers, giving them more time to focus on strategic work and less time on repetitive troubleshooting.

This philosophy is echoed by industry experts. According to Ido Peleg, COO at Stampli, “Researchers often have a passion for innovation and solving big problems. They will not rest until they find the way through trial and error and arrive at the most accurate solution.”[5] Ciroos’s approach aligns with this mindset, providing tools that support creative problem-solving rather than replacing it.

The Future of Agentic AI in Operations

Looking ahead, the adoption of agentic AI in operations is only going to accelerate. As enterprises continue to digitize and cloud adoption grows, the complexity of IT environments will keep increasing. Tools like Ciroos’s SRE Teammate will become essential for maintaining reliability, security, and performance at scale.

Moreover, the demand for AI talent is skyrocketing. Companies are competing fiercely for AI experts, often recruiting those with advanced degrees and real-world experience in fields like computer science, data science, and even military backgrounds. Ciroos itself is currently hiring AI engineers, full-stack engineers, and go-to-market experts to support its ambitious growth plans[1][5].

Comparing Agentic AI Platforms for Operations

For a clearer picture of how Ciroos stacks up against its peers, here’s a quick comparison of key features:

Challenges and Considerations

Of course, no technology is without its challenges. Implementing agentic AI in operations requires robust data pipelines, strong governance, and clear communication between AI and human teams. There are also important questions about accountability: when something goes wrong, who is responsible—the AI or the human operator? Ciroos addresses this by ensuring that humans remain in control and that all actions are transparent and explainable.

Conclusion: The Dawn of a New Era in Operations

Ciroos is at the forefront of a quiet revolution in enterprise IT. By harnessing the power of multi-agentic AI, the company is enabling operations teams to work faster, smarter, and with greater confidence. The $21 million funding round is just the beginning; as Ciroos scales its go-to-market operations and accelerates product development, we can expect to see more enterprises adopting this transformative approach.

In a world where every second of downtime can have a major impact, having an AI teammate that can fix tech issues faster isn’t just a nice-to-have—it’s a game-changer.

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