Two portfolio companies just printed earnings.
Rubrik: Earnings beat + direct agentic AI infrastructure story
Rubrik’s print was strong. Revenue rose 39% YoY to $387.1M, subscription ARR grew 32% to $1.57B, non-GAAP EPS came in at $0.16, and guidance was raised. That confirms two things: the core cyber-resilience business is still compounding, and Rubrik is already showing operating leverage.
The agentic AI opportunity is very direct. Rubrik is positioning itself as a control layer for enterprise AI agents through Rubrik Agent Cloud.
The pitch is: as companies deploy AI agents that can take actions across enterprise systems, they need monitoring, auditing, real-time guardrails, accuracy tuning, and the ability to undo mistakes.
Rubrik explicitly describes Agent Cloud as helping enterprises monitor and audit agentic actions, enforce guardrails, improve accuracy, and reverse agentic errors.
That fits Rubrik’s existing strength: data protection, backup, recovery, identity resilience, and cyber recovery. In an agentic world, mistakes and breaches become faster and more automated. Rubrik can argue that it becomes the “undo button” and governance layer for AI agents.
Investor angle: the earnings print supports the narrative.
Strong ARR growth + cash-flow leverage gives Rubrik permission to invest in Agent Cloud without looking like a speculative AI pivot. This is why Rubrik’s AI story feels high-quality: it extends the core business rather than replacing it.
Samsara: Earnings beat + physical-world agentic AI opportunity
Samsara also delivered a good quarter: revenue grew 31% YoY to about $479M, adjusted EPS was $0.17, and ARR grew 30% to $1.99B.
The issue was guidance: next-quarter revenue guidance was only slightly above consensus, which explains the muted stock reaction.
Samsara’s agentic opportunity is different from Rubrik’s. It is not mainly about protecting software agents inside enterprise IT.
It is about applying AI agents to the physical operations layer: fleets, logistics, industrial assets, safety, maintenance, routing, fuel usage, driver behavior, equipment uptime, and compliance.
In simple terms, Samsara has the sensor data, workflow data, and real-time operational context that an AI agent would need to act in the physical world. Today, Samsara helps companies observe and optimize operations.
The next step is agentic: systems that automatically detect issues, recommend actions, trigger workflows, schedule maintenance, escalate safety risks, optimize routes, or reduce downtime.
Investor angle: the long-term opportunity is large, but the earnings print did not yet show a major “agentic acceleration.” The business is high-quality, but the guidance makes it feel more like steady compounding than a near-term AI inflection.