Cloud engineers are paid to fear surprises. Sedai built a business by asking them to let software change production anyway - one reversible, measurable step at a time.
Most cloud tools can point at waste. Kubex is betting that the valuable part is changing production safely - and that a 27-year-old analytics company can teach Kubernetes to tune itself.
The Seattle startup raised $26 million to move development off laptops. Then its own cloud margins revealed a better product: software that cuts Kubernetes and AI waste without making reliability the price of admission.
Zesty builds an automated Kubernetes and cloud optimization platform that continuously right-sizes compute, storage, and cloud commitments to match real-time workload demand. Its flagship Kompass platform cuts Kubernetes compute and storage costs by up to 70% without compromising performance or SLAs, using multi-dimensional autoscaling, fast node deployment, and predictive automation. Founded in 2019 and backed by roughly $129M in funding, Zesty manages billions in cloud spend across thousands of accounts for engineering and FinOps teams.
Maxim Melamedov is the CEO and co-founder of Zesty, a Palo Alto-based cloud infrastructure optimization platform that has raised $124M to help enterprises slash cloud costs through AI-driven autoscaling. Born in the Soviet Union, raised in Israel, and now operating out of Silicon Valley, Melamedov built Zesty from a 2019 insight - that 30-40% of cloud infrastructure sits idle while companies pay full price. With products spanning Kubernetes optimization, compute rightsizing, and commitment management, Zesty now manages billions in cloud waste across 1,000+ accounts for enterprise customers including Wiz, Armis, and WalkMe.