A New Era of Cloud Automation: The Cast AI Growth Story

When I first met Yuri Frayman, Laurent Gil, and Leon Kupermann several years ago, I knew they were onto something special. They had a vision for a smarter, more autonomous cloud—one where infrastructure didn’t just run efficiently but actually learned how to optimize itself in real time. It wasn’t just about cutting costs, though they did that incredibly well. It was about rethinking how cloud workloads should operate. 

Fast forward to today, and I couldn’t be prouder to see Cast AI announce its $108 million Series C round, led by G2 Venture Partners and SoftBank Vision Fund 2, with Aglaé Ventures joining alongside our team at Cota and other existing investors. This funding is a clear reflection of Cast’s rapid revenue growth and the surging demand for its platform—validating what we saw when we first invested.

The birth of APA

What started as cloud cost optimization has evolved into something far more powerful. Last year, Cast introduced its Application Performance Automation (APA), effectively creating an entirely new category in cloud infrastructure. The fundamental breakthrough of APA lies in its ability to go beyond observability. It transforms performance signals into real-time, automated actions that optimize cost, security, and speed across any cloud.

Why does APA matter? Because today’s cloud environments operate with just 10% of CPUs and 23% of memory actively utilized. APA turns this paradigm on its head with automation that works out of the box, keeps getting better, and actually learns over time. Imagine a system that not only alerts you to inefficiencies but fixes them before they impact your applications. That’s the power of what Cast has built.

The most impactful solutions often emerge when a team deeply understands both the technical challenges and the operational realities their customers face. This is absolutely true for Cast and lies at the heart of its market success. 

Redefining cloud operations 

What really excites me is how Cast is reshaping the cloud landscape. Five years ago, APA didn’t exist—because no one had thought to build it. Today, it’s becoming an essential layer of the modern cloud stack. And with this new funding, Cast is poised to push even further: deeper automation, smarter optimizations, and a growing global footprint that delivers even greater value to customers.

The reality is that Cast is redefining cloud efficiency standards exactly when the industry needs it most. With infrastructure demands exploding, especially for AI workloads, Cast’s ability to instantly deploy hyper-efficient GPU instances in Kubernetes clusters is game-changing. That’s why they’re becoming the essential platform for running these workloads efficiently at scale. 

The market response has been tremendous. Over the last year, Cast has doubled its customer base. Today, more than 2,100 leading organizations across industries rely on its technology, from automotive pioneers like BMW to AI innovators like Hugging Face. 

This rapid adoption has been matched by strategic global expansion, with new offices in India and Singapore extending Cast’s reach into high-growth markets. The industry has also taken notice, with Cast earning recognition as an IDC Innovator and G2 Cloud Cost Management leader. These milestones are clear indicators that Cast is executing on its vision with skill and precision.

What’s next for Cast AI

Looking to the future, the challenges facing cloud operations are becoming increasingly complex. The rapid adoption of multi-cloud architectures, combined with the exponential growth of AI workloads, has created an environment where traditional management tools simply can’t keep pace. This is why Cast’s self-learning automation and out-of-the-box intelligence are becoming so critical for modern enterprises.

When we first partnered with Cast, we saw a team with exceptional technical vision and execution capability. What we’ve witnessed since has exceeded even our highest expectations. We’re thrilled to continue supporting Cast as it scales its vision globally. The best is yet to come—and we can’t wait to see where this team takes cloud automation next.