At Cast AI, we believe cloud automation isn’t just about saving money—it’s about ensuring your applications run reliably and efficiently.
Applications today are expected to run seamlessly. That means no CPU starvation, no memory bottlenecks, no waiting minutes—or even seconds—for autoscaling to kick in, and definitely no wasted compute just idling away. They need performance—the kind that is continuously tuned in real-time, across any cloud, for cost, speed, and stability.
We started our journey by building automation for Kubernetes. We have deeply integrated into the Kubernetes ecosystem and created automation that helps customers scale their clusters and workloads, select the best infrastructure, and manage compute lifecycles. Over time, as we expanded our platform, the value shifted from purely cost savings to software efficacy, enabling applications to run faster and more cost-effectively, with less risk, fewer errors, and increased uptime.
Too many tools in the cloud ecosystem focus on just one slice of the problem. You’ve got cloud cost dashboards that highlight waste but don’t fix it, monitoring platforms that send alerts but don’t act, and rightsizing tools that recommend changes but leave it to you to implement them.
Over the past few years, we’ve seen firsthand how traditional categories like “cloud cost management” or “Kubernetes optimization” didn’t fully capture what we were doing. They felt reactive. Retrospective. Static.
We weren’t just helping customers manage costs–we were automating it.
We weren’t just helping customers observe their inefficiencies–we were actively fixing them.
We weren’t just tuning Kubernetes–we were making it autonomous.
What was missing was end-to-end automation built around performance as the core outcome.
We chose the word “performance” very deliberately. It reflects the real-world experience of our customers: engineering teams who want their applications to run fast, scale instantly, and stay within budget without intervention. Performance is the baseline expectation, and automation is how we achieve it.
That’s why we created and lead a new category called Application Performance Automation (APA). It centers on the application and prioritizes real-time performance that delivers it automatically. That’s the difference. And that’s the category we are proud to lead.
What does Application Performance Automation do?
APA happens when you connect real-time performance signals with automated cloud actions. Here’s what it looks like in practice:
- Workload rightsizing is done automatically and continuously. Your app always has the right amount of CPU and RAM—never too much, never too little.
- Instant, intelligent scaling that reacts in milliseconds—not minutes—to traffic spikes or AI inference loads.
- Waste elimination in real-time, not just during monthly reporting. Unused resources are shut down before they can drain your budget.
- Smarter decisions across multi-cloud environments and on-premise, dynamically choosing the optimal infrastructure mix.
We’re not just making infrastructure cheaper–we’re making it better.
What’s next?
With over 2,100 companies relying on Cast, from BMW and Akamai to Hugging Face and NielsenIQ, we’ve seen how APA is reshaping cloud operations in the real world. And we’re just getting started.
Thanks to our recently closed $108 million Series C round, backed by G2 Venture Partners, SoftBank Vision Fund 2, and Aglaé Ventures, we’re doubling down on making APA the standard for DevOps, MLOps, and everything in between.
Stay tuned–our most ambitious product roadmap yet is just around the corner!
