Cast AI raises $108M led by SoftBank and G2 to automate cloud efficiency amid surging AI costs, hits $850M valuation

Cloud costs are eating into AI budgets, and businesses are fed up. Cast AI wants to fix that—with automation that does the hard work humans no longer have time for.

Today, the Miami-based startup announced it has closed a $108 million Series C round led by G2 Venture Partners and SoftBank Vision Fund 2. Other backers include Bernard Arnault’s Aglaé Ventures, Hedosophia, Cota Capital, Vintage Investment Partners, Creandum, and Uncorrelated Ventures. The oversubscribed round pushes Cast AI’s valuation to $850 million, a person familiar with the matter confirmed.

Cast AI plans to use the fresh funding to expand its APA platform, scale internationally, including newly opened offices in India and Singapore, and grow its team. Cast was recently named a G2 Cloud Cost Management leader and recognized as an IDC Innovator.

Turning Cloud Chaos into Opportunity: How Cast AI Eliminates Hidden Waste in AI Infrastructure

The company’s growth has been driven by one thing: cutting waste in cloud infrastructure. Cast AI helps businesses run their Kubernetes clusters more efficiently, automating how applications use CPUs, GPUs, and memory in real time.

Founded by Yuri Frayman (CEO) and Leon Kuperman (CTO), Cast AI is an Application Performance Automation platform that takes cloud infrastructure off autopilot. Instead of just monitoring clusters and suggesting changes, Cast AI uses machine learning to optimize them automatically in real time, cutting cloud costs, improving Kubernetes security, and freeing up DevOps teams to focus on more strategic work.

Its latest innovation, something it calls Application Performance Automation (APA), moves past monitoring and dashboards. Instead, it takes action on performance signals—automatically improving cost, security, and speed across cloud environments. Think of it as Kubernetes on autopilot.

“APA didn’t exist five years ago, because we hadn’t invented it yet,” said Cast AI CEO Yuri Frayman. “This round fuels our continued expansion of a category we created.”

The stakes are high. According to the company’s own benchmark report, most cloud resources go unused—just 10% of CPUs and 23% of memory are typically active. Cast AI aims to flip that script and help companies stop overpaying for idle capacity.

With demand for AI workloads pushing cloud infrastructure to its limits, Cast AI has found its moment. The company doubled its customer base in the last year and now serves more than 2,100 companies, including Akamai, BMW, FICO, Hugging Face, NielsenIQ, and Swisscom.

“Enterprises are no longer satisfied with static dashboards and manual tuning knobs,” said Leon Kuperman, Cast AI’s CTO and co-founder. “They want automation that works out of the box, improves performance continuously, and gets smarter over time.”

SoftBank’s Tim Yap sees Cast AI as a natural fit for the growing wave of AI deployment. “Cast AI is setting a new standard for cloud efficiency at a time when infrastructure demands are surging.”

Backers like SoftBank and G2 Venture Partners have also invested in OpenAI and Crusoe, two companies deeply involved in scaling AI infrastructure. Their support signals confidence that Cast AI is becoming the automation engine powering efficient cloud ops behind the AI boom.

Or, as G2’s Jake Tauscher put it: “Cast AI plays an absolutely essential role in the modern cloud stack.”