Airrived emerges from stealth with $6.1M to launch an “Agentic OS” aimed at unifying AI across enterprise security, IT and operations.
Airrived said Tuesday it had emerged from stealth with $6.1 million in seed funding to bring so-called “agentic AI” into the core of enterprise cybersecurity, IT and business operations.
The round was led by Cannage Capital, with participation from Plug and Play Ventures, Rebellion Ventures and Inner Loop Capital. Cybersecurity veterans Manoj Apte, Mahendra Ramsinghani and Saqib E. Awan also made strategic investments.
At the center of the company’s pitch is what it calls an “Agentic OS” — an operating layer designed to make AI-native decision-making foundational to enterprise systems rather than an add-on feature.
Enterprises today, the company argues, are burdened by fragmented AI point solutions and legacy platforms retrofitted with automation. The result is AI that summarizes rather than decides, automation that falters in the real world, and human teams left to manually stitch systems and workflows together.
Airrived says its platform is built to eliminate that fragmentation.
Instead of offering AI as discrete copilots or scripted playbooks, the company enables organizations to fine-tune large language models, compose reasoning-driven agents and orchestrate decision-making across systems — without requiring deep in-house AI expertise.
The platform is designed to unify critical enterprise domains, including security operations centers, governance, risk and compliance, identity and access management, vulnerability management, IT operations and broader business workflows, into a single agentic system capable of reasoning end-to-end and taking action across tools.
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“Airrived stood out because of its agentic-first architecture,” said Shelley Jhuang, founder and managing partner at Cannage Capital. “This isn’t automation or scripted playbooks — it’s a composable agentic platform designed to scale across use cases.”
Amit Patel, partner at Plug and Play Ventures, said the company’s appeal lies in its focus on the daily realities of security teams. “Fewer handoffs, fewer errors and faster execution” translate into lower operational overhead and improved outcomes, he said.
While many enterprise AI initiatives remain confined to pilots or dashboard-level insights, Airrived is positioning its system as production-ready and governance-focused. By consolidating disparate tools into what it describes as a unified intelligence layer, the company aims to reduce reliance on scarce AI specialists and shift enterprises from observation to autonomous action.
“Enterprises don’t need more tools or surface-level AI,” said Anurag Gurtu, co-founder and chief executive of Airrived. “They need a new foundation.”
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Airrived said it has been recognized as a Gartner Tech Innovator in Agentic AI, a Security Today CyberSecured Award winner and a BIG Innovator in Agentic AI. The company is already deployed at several large organizations, including a Fortune 150 insurer, a global bank, a major telecom infrastructure provider and one of the largest fast-casual restaurant chains.
By framing agentic intelligence as an operating system rather than a feature, Airrived is making a broader bet: that the next phase of enterprise AI will be defined less by isolated tools and more by deeply embedded, decision-making systems operating at scale.
