Ciroos.AI Raises $21M for AI-Powered Site Reliability Engineering Platform

Ciroos.AI raises $21M for multi-agent site reliability engineering platform - SiliconANGLE

Ciroos.AI raises $21M for multi-agent site reliability engineering platform Ciroos.AI, a startup that aims to automate much of the manual work involved in site reliability engineering, today said it has raised $21 million in a funding round led by Energy Impact Partners LP. The company said it will use the funding to expand hiring and build out engineering, sales and marketing capabilities. Ciroos describes its product as the industry's first extensible, multi-domain artificial intelligence SRE "teammate." The term is meant to describe an agent that supports enterprise operations teams by diagnosing and responding to system incidents across cloud, network and application layers. Co-founder and Chief Executive Ronak Desai, who was previously senior vice president and general manager of full-stack observability and AppDynamics at Cisco Systems Inc., said the system is meant to reduce diagnosis and repair time and lower operational toil by reasoning across multiple systems and domains, which are functions traditionally handled by human SREs. Desai said organizations use an average of 50 observability and incident response tools from vendors such as Datadog Inc., Splunk Inc., New Relic Inc., PagerDuty Inc. and ServiceNow Inc. Ciroos doesn't look to replace those tools but to integrate with them to extract relevant data and automate aspects of root cause analysis and remediation. The platform is built from the ground up to support multi-agent reasoning across fragmented and complex IT environments, said Desai. The SRE Teammate supports integration with existing tools via out-of-the-box connectors and the Agent2Agent protocol. It also uses the Model Context Protocol to allow its internal agents to communicate with each other. Ciroos says these components provide a flexible foundation for supporting third-party or customer-developed AI agents. Desai said the company positions the offering not as a natural language interface on top of application program interfaces -- a model many observability vendors are pursuing -- but as a deeper, integrated reasoning engine that mimics human decision-making. "Our system doesn't just provide a UI on top of APIs," he said. "It correlates live and historical data, connects across systems and can recommend or even execute actions such as restarting services or rolling back deployments." Currently, the system allows for semi-automated responses such as triggering Git-based rollbacks directly from the interface. Full automation -- or "autopilot" mode -- is supported where users are comfortable with autonomous remediation. Desai co-founded Ciroos in February with Amit Patel and Ananda Rajagopal, both of whom have backgrounds in enterprise software and networking. The founding team collectively holds 84 patents in AI, observability, distributed systems, cloud, cybersecurity and networking. The company's business model is currently focused on direct sales to enterprises. Desai said the company is experimenting with value-based pricing models, rather than traditional volume-based or ingest-based approaches used by many observability platforms.

Ciroos.AI Emerges From Stealth, Raises $21M To Scale Agentic AI Tool For Operations Teams

Founded by a deep bench of tech talent, including former Cisco, AWS and Gigamon execs, Ciroos.AI is launching with $21 million raised that will go towards growing its business and driving customer adoption of the company's AI SRE Teammate, the upstart's CEO tells CRN. AI startup Ciroos.AI is emerging from stealth mode with ambitious plans to help enterprises find and resolve application issues across multiple domains with its extensible, AI-powered site reliability engineering (SRE) assistant. The upstart is also announcing that it has raised $21 million, led by Energy Impact Partners, which will go towards growing the business, recruiting talent, and driving customer adoption of the company's so -called AI SRE Teammate, Ciroos' Co-founder and CEO Ronak Desai told CRN. Ciroos' AI SRE Teammate lets overwhelmed site reliability engineers, DevOps and operations teams automate, augment and drive autonomous operations to cut incident response time by 90 percent, or hours, to minutes, said Desai (pictured above). [Related: The 25 Hottest AI Companies For Data Center And Edge: The 2025 CRN AI 100] The AI SRE Teammate, which uses a multi-agent system, will help enterprises initiate investigations into anomalies proactively, often before any administrator is made aware of an issue. The tool employs "human expert-like reasoning" to understand and correlate large amounts of cross-domain interactions and data to identify problems, the company said. As modern enterprise applications become more distributed and complex, any outage will prompt a number of SREs and IT administrators that need to get on a call, while looking at multiple dashboards and a variety of tools across different domains, like networking and security, Desai said. "On average, what we noticed was it takes [about] two hours to investigate and figure out where the problem is. At times, we've seen it takes days at times. We've noticed that at times, nobody noticed this issue that was lurking around for months," he said. "We are on the mission to solve all of that." The tool has been built on the recently announced Model Context Protocol (MCP) and Agent 2 Agent (A2A) architectures and integrates with third-party observability security and collaboration tools from the likes of Prometheus, Datadog, Jira, and Slack, the company said. "The goal is, and this is what we've built: Can I have a network agent which has expertise on your Nexus, for example. Can I have an agent which has expertise around your security domains, which could be a physical firewall or cloud? Can I build a capability with expertise on your cloud services? And then really having those agents built around those, which can work together," he said. "That's where it's important, because you have so many different tools." The aim of the tool is to augment SRE teams by automating some of their work and freeing them up to focus on proactive tasks, Desai said. "Giving that time back to the SRE is super critical so that they can do their best possible work," he added. Alongside Desai, the startup is co-founded and led by a team with extensive experience at Cisco, AWS and Gigamon. Desai, who spent more than a decade a Cisco, most recently served as senior vice president and general manager of the tech giant's application performance monitoring software arm, AppDynamics, until 2024. Prior to that, he was responsible for data center networking product engineering. The upstart's strategy includes partnering with early adopters and ensuring the platform integrates seamlessly with existing tools so that it enhances, not disrupts, current workflows, Desai said. The tech veteran said that his channel-friendly company has already begun recruiting partners. "Coming from Cisco, partners are close to my heart," he said.