Akamas is the autonomous optimization platform that maximizes application performance, service reliability, and cloud cost savings. Akamas helps performance engineers, developers, DevOps, platform engineers, and SREs be more productive, prevent incidents, and achieve aggressive optimization goals at enterprise scale. Unlike infrastructure-focused cloud optimization tools, Akamas is application-aware, meaning that it optimizes full-stack configurations, taking into account application performance and reliability signals, SLOs, and user-defined constraints. With support for both continuous optimization of live applications in production environments, and automated performance tuning of applications in test/pre-production, Akamas uses reinforcement learning AI, observability data, and safety constraints to autonomously identify and apply the best system configurations to achieve cost, performance, and reliability goals. Founded by veterans in performance engineering, Akamas counts AWS, Dynatrace, Google Cloud, Gremlin, Mia-Platform, Micro Focus, RedHat, Tricentis, and Splunk among its technology partners. Akamas customers include leading financial services, SaaS software, and online consumer services brands. Akamas is headquartered in Milan, with offices in Boston, Los Angeles, and Singapore.