
Self-Driving Cloud
Sedai offers an AI-powered autonomous cloud optimization platform that automatically manages and optimizes cloud resources across major providers. The company differentiates itself through patented safety mechanisms and a strong claim of zero production incidents, making it particularly appealing for enterprises requiring hands-off yet reliable cloud management.

Sedai is a pioneering cloud optimization platform that has developed the world's first self-driving cloud technology. The company leverages patented reinforcement learning and AI models to automatically optimize compute, storage, and data resources across major cloud providers including AWS, Azure, Google Cloud, and Kubernetes environments. Their platform operates on an autopilot model, continuously finding the ideal configuration for every application while eliminating manual toil and infrastructure drift. The platform offers two operational modes: Copilot, where users approve optimizations with a click, and Autopilot for fully autonomous operations. Sedai's technology is designed to reduce cloud costs, improve application performance, and increase availability by detecting and fixing issues before they cause outages. The company serves enterprise clients including Palo Alto Networks, Avis, Experian, and HP, and emphasizes their track record of never causing an incident in production. Sedai positions itself as a solution for engineering teams overwhelmed by repetitive infrastructure tasks like rightsizing resources and firefighting issues. The company holds eight U.S. patents focused on safe autonomous action in production environments, and maintains SOC 2 Type 2 certification. They are affiliated with industry organizations including the FinOps Foundation and Cloud Native Computing Foundation.