Sedai, the self-driving cloud™, announced it has raised $20 million in Series B funding to bring autonomous operations to cloud infrastructure. The round was led by AVP (Atlantic Vantage Point), with participation from Norwest, Sierra Ventures, and Uncorrelated Ventures.
Sedai is defining a new category of AI agent–driven infrastructure automation, as enterprises move beyond dashboards and alerts to systems that act autonomously in production. As the first self-driving cloud, Sedai is a fundamental shift in how infrastructure is managed. Just as autonomous vehicles are replacing human drivers with intelligent systems trained on real-world data, Sedai replaces manual operations with AI agents that take safe, continuous action.
Already, Sedai has executed over 25 million autonomous actions in production, managing $3 billion in cloud spend across hundreds of thousands of cloud services. The result: More than $5 million in annual savings for enterprise customers, over 22,000 hours of engineering time reclaimed, and zero incidents — establishing Sedai as the most trusted AI system to safely manage critical cloud infrastructure at scale.
“These aren’t projections. This is real AI, live in production,” said Suresh Mathew, CEO and Founder of Sedai. “Just like Waymo proved that self-driving cars are possible, Sedai proves that self-driving infrastructure is not only possible, it’s necessary.”
Sedai connects directly with AWS, Microsoft Azure, and Google Cloud. Its patented AI agents learn each environment’s behavior and autonomously manage compute, storage, and traffic in real time. Customers can start by observing Sedai’s decisions and then gradually enable full automation as trust builds.
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Core capabilities include:
- Smart Scaling: Uses deep reinforcement learning to dynamically allocate resources. Customers have seen up to 65% cost reduction on Kubernetes clusters and 28% on VM workloads through precise scaling.
- Self-Healing: Detects and resolves issues such as degradation and outages, before they impact users. While most tools rely on alerts or manual response, Sedai acts instantly to fix problems in production.
- Continuous Optimization: Makes continuous optimizations to infrastructure behind the scenes. Customers report 6X increases in operations productivity and 30% improvements in performance.
At the core of Sedai’s platform is its Decision Engine, which orchestrates multiple AI agents, each focused on different goals, such as cost, availability, or latency. The system adapts to changes in topology and traffic using a combination of seasonality modeling, anomaly detection, and causal inference. Sedai holds a portfolio of U.S. patents that protect its ability to take action in the cloud safely.
Sedai is trusted and deployed by industry leaders in cybersecurity, financial services, pharmaceuticals, AI, and education, including the number one cybersecurity provider, the top innovation bank, and a global pharmaceutical company. These organizations rely on Sedai to manage mission-critical production systems and high-complexity machine learning workloads.
“Sedai is a game-changing tool, both for our cloud strategy and for me personally,” said Matthew Duren, Vice President of Engineering at KnowBe4. “From a cost perspective, Sedai reduced our spend by up to 50% in production and by up to 87% in development, which meant it very quickly paid for itself. And from a personal perspective, Sedai helped me become a key strategic leader at KnowBe4. It frees up our team to focus on more valuable projects.”
With the funding, Sedai will expand its platform and introduce several first-of-its-kind capabilities, including self-tuning for LLM-based applications, autonomous GPU optimization, and AI-powered orchestration for platforms such as Databricks and Snowflake. The company will also rapidly scale its go-to-market team, driven by new Chief Revenue Officer Vaneet Bhaskar.
Source: BusinessWire