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ScaleOps secures $130 million funding to boost compute ... - xix.ai
The AI boom is in full swing, yet companies are hemorrhaging money on wasted compute power. Expensive GPUs sit idle, workloads are overprovisioned, and cloud bills keep rising. ScaleOps argues the core issue isn't a hardware shortage—it's inefficient resource management. The startup, which develops software to automatically manage and reallocate computing resources in real time, announced a $130 million Series C funding round on Monday, valuing the company at $800 million. Insight Partners led the round, with participation from existing investors Lightspeed Venture Partners, NFX, Glilot Capital Partners, and Picture Capital. ScaleOps claims its platform can slash cloud and AI infrastructure costs by up to 80%. Co-founded in 2022 by former Run:ai engineer Yodar Shafrir, ScaleOps was born from witnessing the struggles companies face managing complex AI workloads. While tools like Kubernetes help orchestrate applications across large machine clusters, their reliance on static configurations often fails to adapt to rapid demand changes. This results in underutilized GPUs, performance bottlenecks, and significant financial waste. "In my previous role at Run:ai, I spoke with many customers, particularly DevOps teams," Shafrir, now CEO of ScaleOps, told TechCrunch. "They appreciated what Run:ai offered but still grappled with managing production workloads, especially with the rise of AI inference. Looking at the bigger picture, I saw the problem wasn't confined to GPUs. It encompassed compute, memory, storage, and networking. The same pattern of inefficient resource management kept recurring." DevOps teams often spent excessive time coordinating with multiple stakeholders to fix issues, with limited success. While many tools could identify problems, they rarely provided automated solutions. This gap presented a clear market opportunity. ScaleOps aims to bridge that gap by dynamically aligning application requirements with infrastructure decisions, offering a fully autonomous, end-to-end management solution, Shafrir explained. "Kubernetes is a powerful, flexible, and highly configurable system. But that configurability is also its weakness," Shafrir noted. "It depends on static settings, while modern applications are dynamic. This mismatch creates constant manual toil across teams. What's needed is a system that understands each application's unique context—its needs, behavior, and the evolving environment." image credits: Scaleops The market includes competitors ...
ScaleOps Closes $130M Series C to Advance Autonomous AI Infrastructure ...
ScaleOps has secured $130 million in Series C funding led by Insight Partners, with participation from Lightspeed Venture Partners, NFX, Glilot Capital Partners, and Picture Capital, valuing the company at $800 million. The company develops AI-driven software designed to automatically manage and optimize compute infrastructure in real time, addressing inefficiencies in AI and cloud environments. Founded in 2022 by CEO Yodar Shafrir, ScaleOps focuses on resolving underutilization of GPUs and broader infrastructure challenges across compute, memory, storage, and networking. Leadership has identified mismanagement of dynamic AI workloads as a core issue, positioning its platform as a fully autonomous system that connects application demands with infrastructure decisions. The company reports strong enterprise adoption and rapid growth, with plans to expand its AI-powered platform as demand for efficient infrastructure management accelerates. Featured image: Credit: ScaleOps
Q1 2026 Shatters Venture Funding Records As AI Boom Pushes Startup ...
The first quarter of 2026 was unlike any other for venture investment, driven by unprecedented spending on AI compute and frontier labs. Crunchbase data shows investors poured $300 billion into 6,000 startups globally in the quarter, up over 150% quarter over quarter and year over year.
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