Cast AI was born in 2019 from a very specific kind of frustration. The kind that shows up when smart operators scale fast, ship hard, and then watch cloud bills outpace revenue. Yuri Frayman, Laurent Gil, and Leon Kuperman had already built and exited Zenedge to Oracle, so this was not theory. This was lived experience. Kubernetes promised efficiency. Reality delivered waste. Instead of dashboards and suggestions, they built automation that acts. No tickets. No waiting. No humans babysitting infrastructure at 2 a.m.
Cast AI secured a strategic investment from Pacific Alliance Ventures, the U.S. venture arm of Shinsegae Group, a global operator doing $50B+ in annual revenue. The amount stays private. The valuation does not. North of $1B. Unicorn status without theatrics. Just execution. The kind of backing that says this platform is not trimming costs around the edges, it is becoming core infrastructure for modern enterprises.
Cast AI’s Application Performance Automation does what most platforms only describe in pitch decks. It continuously analyzes workloads and automatically reshapes infrastructure across AWS, Azure, and Google Cloud, no code changes required. 2,100+ customers including Akamai, BMW, Cisco, FICO, HuggingFace, NielsenIQ, Swisscom, and Samsung are cutting cloud spend by 50–60% while improving performance. When Cast AI’s own Kubernetes benchmark shows average environments running at 10% CPU and 23% memory utilization, automation stops being optional and starts being common sense.
Then comes Omni Compute. GPUs are scarce, expensive, and politically sensitive inside large orgs. Cast AI turns them into a unified, governed resource across clouds and regions. Oracle joined as the first major provider, opening access to OCI’s high-performance GPU fleet on demand. That is not a logo swap. That is infrastructure leverage. AI workloads now run where compute is available and compliant, not where contracts happened to land last year.
Pacific Alliance Ventures brings more than capital. Shinsegae Group brings Asia-Pacific gravity, opening doors across Korea and Southeast Asia where cloud, AI, manufacturing, and enterprise scale collide fast. This is Cast AI leaning into global velocity, not incremental growth. Yuri Frayman put it simply. Enterprises do not need cheaper infrastructure. They need infrastructure that adapts automatically as workloads change. Leon Kuperman and Laurent Gil built the engine. The market just handed them a much bigger road.
