Sedai is the world’s first self-driving cloud, using a Decision Engine that orchestrates multiple AI agents to autonomously manage compute, storage, and traffic across AWS, Microsoft Azure, and Google Cloud. Its core capabilities include smart scaling (deep reinforcement learning), self-healing, and continuous optimization using seasonality modeling, anomaly detection, and causal inference. Customers report up to 65% cost reduction on Kubernetes, 28% on VMs, 6X increases in operations productivity, and 30% performance improvements; Sedai has executed over 25 million autonomous actions and manages $3 billion in cloud spend. The platform has delivered more than $5 million in annual savings for enterprise customers and reclaimed over 22,000 hours of engineering time, while being deployed at firms such as Palo Alto Networks, Experian, and McGraw Hill. Sedai holds a portfolio of U.S. patents to protect its ability to take action in the cloud safely and allows customers to observe decisions before enabling full automation. The company plans product expansions including self-tuning for LLM-based applications, autonomous GPU optimization, and AI-powered orchestration for Databricks and Snowflake, and will scale its go-to-market team under new CRO Vaneet Bhaskar. Sedai is a San Francisco, CA–based autonomous cloud management company led by Suresh Mathew. It provides a continuous autonomous application management platform that autonomously detects and proactively addresses potential issues in production, improving performance, ensuring availability and managing cloud costs. Site reliability engineers can connect Sedai to their cloud in minutes; the platform automatically discovers resources and intelligently analyzes traffic and performance metrics. Sedai continuously manages production environments with proactive actions without manual thresholds or human intervention, using a machine learning model that detects symptoms early and prevents issues. The context-aware system is designed to run safely in production and proactively improve the overall experience. The company raised $15M in Series A (bringing total funding to $18.8M) and plans to open an engineering center in Kerala, India to increase support for all cloud platforms and broaden its ecosystem.

Total raised

$35M

Funding rounds

2

Latest round

Series B

Latest activity

Jun 2025