Cast AI, a cloud automation company, has closed a $108 million series C funding round.

The round was led by G2 Venture Partners and SoftBank Vision Fund 2. Other investors include Aglaé Ventures, Hedosophia, Cota Capital, Vintage Investment Partners, Creandum, and Uncorrelated Ventures.

Founded five years ago, Cast AI focuses on optimizing application performance through automation in Kubernetes and cloud infrastructure.

From 2023 to 2024, the company grew its customer base to over 2,000 clients, including Akamai, BMW, and FICO.

The funding will be used to enhance its Application Performance Automation (APA) platform.

🔗 Source: Cast AI

🧠 Food for thought

1️⃣ Cloud waste has reached crisis proportions despite years of cost management efforts

CAST AI’s funding arrives against a backdrop of inefficiency in cloud resource utilization, with their 2025 Kubernetes benchmark revealing just 10% CPU and 23% memory utilization in typical deployments.

This inefficiency translates to projected annual cloud waste of $225.9 billion industry-wide, highlighting why investors are betting heavily on automation solutions1.

The persistent gap between cloud spending and actual utilization demonstrates that traditional cost management approaches have failed to address the root causes of infrastructure waste.

Despite cloud computing’s evolution over more than two decades, optimization remains largely manual and reactive, focusing on tracking costs after they occur rather than preventing waste at the infrastructure level2.

This explains why CAST AI’s approach of automating resource allocation decisions represents a shift from traditional monitoring-based solutions.

2️⃣ The DevOps-finance divide requires bridging technology

CAST AI’s positioning as an “Application Performance Automation” platform reflects a growing recognition that cloud inefficiency stems from the operational disconnect between those who deploy resources and those who manage budgets.

Current research indicates that cloud waste is increasingly viewed as both a DevOps and financial challenge, rather than solely a financial problem2.