Cloud costs are digging into AI budgets, and businesses are tired of them. CAST AI wants to fix it. This is an automation that involves hard work that humans don’t have time.
Today, the Miami-based startup announced it has closed its $108 million Series C round led by G2 Venture Partners and SoftBank Vision Fund 2. The oversubscribed round push cast the AI valuation to $850 million.
CAST AI will use the new funds to expand its APA platform to grow its teams internationally, including newly opened offices in India and Singapore. The cast was recently appointed as G2 Cloud Cost Management Leader and was recognized as an IDC innovator.
Turning Cloud Chaos into Opportunities: How Cast AI Eliminates Hidden Waste in AI Infrastructure
The company’s growth is driven by reducing waste in its cloud infrastructure. CAST AI helps businesses run Kubernetes clusters more efficiently and automates how applications use CPU, GPU, and memory in real time.
Founded by Yuri Frayman (CEO) and Leon Kuperman (CTO), CAST AI is an application performance automation platform that removes cloud infrastructure from autopilot. Instead of monitoring your cluster and suggesting changes, CAST AI uses machine learning to automatically optimize in real time, reducing cloud costs, improving Kubernetes security, freeing up DevOps teams and focusing on more strategic work.
The latest innovation, known as Application Performance Automation (APA), goes through monitoring and dashboards. Instead, you need to take action on performance signals. Automatically improve costs, security and speed across your cloud environment. Think of it as kubernetes for autopilot.
“The APA didn’t exist five years ago because we hadn’t invented it yet,” said Yuri Frayman, CEO of AI. “This round will encourage the continuous expansion of the categories we have created.”
The stakes are high. According to the company’s own benchmark report, most cloud resources are unused. 10% of the CPU and 23% of the memory are normally active. CAST AI aims to flip that script and help companies stop overpaying for their idol ability.
As demand for AI workloads pushes cloud infrastructure to limits, CAST AI has discovered the moment. The company doubled its customer base last year and now serves more than 2,100 companies, including Akamai, BMW, FICO, Haggingface, Neilsenic and Swisscom.
“Enterprise is not happy with static dashboards and manual tuning knobs,” said AI CTO and co-founder Leon Kuperman. “They want automation that works quickly, continuously improves performance and becomes smarter over time.”
Softbank’s Tim Yap believes it naturally fits into the growth wave of AI deployments. “CAST AI is setting new standards for cloud efficiency at a time when infrastructure demand is surged.”
Backers such as SoftBank and G2 Venture Partners have also invested in Openai and Crusoe, two companies that are deeply involved in scaling AI infrastructure. Their support shows confidence that AI, powered by the efficient cloud OPS behind the AI boom, is becoming an automation engine.
Or, as G2’s Jake Tauscher said, “Cast AI plays an absolute key role in modern cloud stacks.”
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