Sedai, the pioneer behind the world’s first self-driving cloud platform, has announced a $20 million Series B funding round to accelerate the growth of its autonomous infrastructure operations technology. The investment was led by AVP (Atlantic Vantage Point), with participation from Norwest, Sierra Ventures, and Uncorrelated Ventures.
Sedai is spearheading a new era in cloud management by replacing manual operations with AI-driven automation. Much like how autonomous vehicles revolutionized transportation, Sedai’s platform uses intelligent agents to independently manage cloud environments—safely, continuously, and at scale.
Already operating in live production, Sedai has performed more than 25 million autonomous actions, overseeing over $3 billion in cloud spend across hundreds of thousands of cloud services. Enterprise customers have saved more than $5 million annually, reclaimed over 22,000 hours of engineering time, and reported zero production incidents—establishing Sedai as one of the most trusted platforms for autonomous cloud operations.
“This isn’t future potential—this is real AI in action,” said Suresh Mathew, CEO and Founder of Sedai. “Just as Waymo showed that self-driving cars are real, Sedai proves that self-driving infrastructure is not only possible, but essential.”
Sedai seamlessly integrates with AWS, Microsoft Azure, and Google Cloud, using patented AI agents that learn and manage each environment’s unique behavior in real time. Users can initially observe its decisions before gradually shifting to full automation as confidence grows.
Key Features of Sedai’s Platform:
- Smart Scaling: Applies reinforcement learning to optimize resource allocation. Customers have cut Kubernetes costs by up to 65% and VM workloads by 28%.
- Self-Healing: Instantly detects and resolves issues before they impact users—eliminating the need for alerts and manual fixes.
- Continuous Optimization: Continuously improves infrastructure performance and efficiency, driving 6X increases in operational productivity and 30% better performance.
At the heart of Sedai’s platform is a patented Decision Engine that orchestrates a network of specialized AI agents focused on cost, latency, availability, and more. The engine leverages anomaly detection, causal inference, and seasonality modeling to adapt to ever-changing workloads and topologies.
Sedai is already trusted by leaders in cybersecurity, financial services, pharmaceuticals, AI, and education—including the top cybersecurity company and a leading innovation-focused bank.
“Sedai transformed our cloud strategy,” said Matthew Duren, VP of Engineering at KnowBe4. “It cut our production spend by 50% and development spend by 87%. But beyond cost savings, it empowered me to focus on strategic priorities, becoming a more impactful leader.”
With the new capital, Sedai will scale its platform and launch groundbreaking new features, including self-tuning for LLM (large language model) applications, autonomous GPU optimization, and AI-driven orchestration for platforms like Databricks and Snowflake. The company is also expanding its sales and marketing efforts under the leadership of new Chief Revenue Officer Vaneet Bhaskar.
“As cloud adoption grows, enterprises need real-time optimization—not just monitoring,” said Manish Agarwal, General Partner at AVP. “Sedai’s AI agent-based approach is uniquely equipped to solve this challenge, and we’re proud to support their vision.”
Following a 7X revenue surge in 2024 and a 92% conversion rate from proof-of-concept to customer, Sedai is now doubling down on innovation and global expansion.
“Sedai doesn’t just reduce cloud costs—it changes how engineering teams operate,” said Tim Guleri, Managing Partner at Sierra Ventures. “It transforms cloud infrastructure from a burden into a strategic advantage.”
