ScaleOps Raises $130M Series C to Automate Cloud and AI Infrastructure Management
Funding Details
$130M
Series C
ScaleOps just pulled $130M out of the cloud and made it look easy. Series C, led by Insight Partners, with Lightspeed Venture Partners, NFX, Glilot Capital Partners, and Picture Capital running it back. Valuation north of $800M. Not bad for a company betting that infrastructure should stop asking for permission and start making decisions.
Congratulations to Yodar Shafrir and Guy Baron for building something that doesn’t just watch the system breathe, it adjusts the oxygen in real time. That’s a different kind of control. While most teams are still staring at dashboards like they’re waiting for a sign from above, ScaleOps is already in motion, tuning compute and GPU resources on the fly across Kubernetes environments where mistakes are expensive and delays are louder than alarms.
There’s a reason names like Adobe, Wiz, DocuSign, and Coupa are in the room. When workloads get heavier and AI starts eating infrastructure for breakfast, “good enough” resource management turns into a very expensive hobby. ScaleOps steps in like a quiet operator, making sure every application and model gets exactly what it needs, exactly when it needs it, without an engineer hovering over the controls at 2 a.m.
Over 350% year over year growth tells you this isn’t a theory. It’s a response. Cloud costs climbing, GPUs scarce, systems getting more complex by the quarter. The old way was visibility. The new way is autonomy. One shows you the problem. The other handles it before you finish your coffee.
Insight Partners doesn’t lead rounds because they’re bored. They lead when a category starts to feel inevitable. And “Autonomous Cloud and AI Infrastructure Resource Management” might sound like a mouthful, but the idea is simple. If the system can think, why is it still waiting for instructions?
The real takeaway sits between the lines. ScaleOps didn’t win by adding another layer of insight. They removed friction where it actually hurts, inside production, where milliseconds and misallocations compound into real money. They built for the environment that breaks lesser tools, and that’s where enterprise trust gets earned.
Now the capital comes in, the team scales, and the footprint expands. Not with noise, but with precision. Because when infrastructure starts managing itself, the companies still doing it manually don’t just fall behind. They start paying for it.









