Daily Pulse · · 22:00 CET · market · RBRK
Two portfolio companies — Rubrik and Samsara — printed earnings beats with a direct line to the agentic-AI thesis. Both prints were strong; the market response was muted.
Two portfolio companies just printed earnings.
Rubrik — earnings beat + a 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: 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 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, so Rubrik can argue it becomes the “undo button” and governance layer for AI agents.
Investor angle. Strong ARR growth plus cash-flow leverage gives Rubrik permission to invest in Agent Cloud without looking like a speculative AI pivot. That is why the AI story feels high-quality: it extends the core business rather than replacing it.
Samsara — earnings beat + a 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 behaviour, equipment uptime, and compliance.
In simple terms, Samsara has the sensor data, workflow data, and real-time operational context an AI agent would need to act in the physical world. Today it helps companies observe and optimise operations; the next step is agentic — systems that automatically detect issues, recommend actions, trigger workflows, schedule maintenance, escalate safety risks, optimise routes, or reduce downtime.
Investor angle. The long-term opportunity is large, but the print did not yet show a major agentic acceleration. The business is high-quality; the guidance makes it feel more like steady compounding than a near-term AI inflection.