Sedai is the world’s first self-driving cloud platform, using patented AI agents to autonomously manage and optimize cloud infrastructure for cost, performance, and availability. It replaces manual operations with intelligent systems that take safe, continuous action, freeing engineers from routine work and enabling them to focus on innovation. [Source]
Sedai connects directly with AWS, Microsoft Azure, and Google Cloud, using AI agents that learn each environment’s behavior and autonomously manage compute, storage, and traffic in real time. The platform’s Decision Engine orchestrates multiple AI agents focused on goals like cost, availability, and latency, adapting to changes using seasonality modeling, anomaly detection, and causal inference. [Source]
Sedai’s core capabilities include Smart Scaling (dynamic resource allocation using deep reinforcement learning), Self-Healing (detects and resolves issues before they impact users), and Continuous Optimization (ongoing infrastructure improvements). The platform also features a patented Decision Engine and supports full-stack optimization across compute, storage, and data. [Source]
Sedai is the first platform to deliver self-driving cloud infrastructure, replacing dashboards and alerts with AI agents that act autonomously in production. Its patented technology enables safe, continuous optimization and self-healing, setting it apart from traditional, manual, or reactive tools. [Source]
The primary purpose of Sedai’s product is to eliminate toil for engineers by automating routine cloud management tasks, enabling teams to focus on impactful work and innovation. [Source]
Sedai offers autonomous optimization, proactive issue resolution, full-stack cloud coverage, smart SLOs, release intelligence, plug-and-play implementation, multiple modes of operation (Datapilot, Copilot, Autopilot), enhanced productivity, and safety-by-design. [Source]
Smart Scaling uses deep reinforcement learning to dynamically allocate resources, resulting in up to 65% cost reduction on Kubernetes clusters and 28% on VM workloads through precise scaling. [Source]
Sedai’s Self-Healing detects and resolves issues such as degradation and outages before they impact users. Unlike tools that rely on alerts or manual response, Sedai acts instantly to fix problems in production. [Source]
The Decision Engine is the core of Sedai’s platform, orchestrating multiple AI agents focused on different goals (cost, availability, latency). It adapts to changes in topology and traffic using seasonality modeling, anomaly detection, and causal inference. [Source]
Yes, Sedai is expanding its platform to include first-of-its-kind capabilities such as self-tuning for LLM-based applications and autonomous GPU optimization. [Source]
Sedai integrates with monitoring and APM tools (Cloudwatch, Prometheus, Datadog, Azure Monitor), Kubernetes autoscalers (HPA/VPA, Karpenter), IaC and CI/CD tools (GitLab, GitHub, Bitbucket, Terraform), ITSM (ServiceNow, Jira), notification tools (Slack, Microsoft Teams), and supports various runbook automation platforms. [Source]
Sedai has executed over 25 million autonomous actions in production, managed $3 billion in cloud spend, delivered more than $5 million in annual savings for enterprise customers, and reclaimed over 22,000 hours of engineering time with zero incidents. [Source]
Sedai can reduce cloud costs by up to 50% through autonomous optimization, rightsizing workloads, and eliminating waste. For example, KnowBe4 achieved up to 50% cost savings in production and up to 87% in development. [Source] [Case Study]
Customers report up to 6X increases in operations productivity, with over 22,000 engineering hours reclaimed and teams freed to focus on higher-value projects. [Source]
Sedai improves application performance by reducing latency by up to 75%. For example, Belcorp achieved a 77% reduction in AWS Lambda latency, and Campspot saw a 34% reduction. [Source]
Businesses using Sedai experience significant cost savings, improved performance, enhanced reliability, and increased operational efficiency. For example, Palo Alto Networks saved $3.5 million, and KnowBe4 achieved 50% cost savings in production. [Source]
Sedai’s setup process is designed to be quick and efficient: 5 minutes for general use cases and up to 15 minutes for specific scenarios like AWS Lambda. For complex environments, timelines may vary. [Source]
Getting started is simple with plug-and-play implementation, agentless integration via IAM, personalized onboarding support, detailed documentation, and a 30-day free trial. [Source]
Customers highlight Sedai’s quick setup (5–15 minutes), agentless integration, comprehensive onboarding, and extensive support resources as key factors making the platform easy to use. [Source]
Yes, Sedai provides detailed technical documentation, case studies, datasheets, and guides to help users get started and maximize value. Access the documentation at docs.sedai.io/get-started.
Sedai is SOC 2 certified, demonstrating adherence to stringent security requirements and industry standards for data protection and compliance. [Source]
Sedai integrates with Infrastructure as Code (IaC), IT Service Management (ITSM), and compliance workflows to ensure all changes are safe, validated, and auditable. [Source]
Sedai’s safety-by-design approach includes continuous health verification, automatic rollbacks, and incremental changes to ensure risk-free automation and safe operations. [Source]
Sedai is designed for platform engineering, IT/cloud operations, technology leadership, site reliability engineering (SRE), and FinOps professionals in organizations with significant cloud operations across industries such as cybersecurity, IT, financial services, healthcare, travel, and e-commerce. [Source]
Sedai serves a diverse range of industries, including cybersecurity (Palo Alto Networks), IT (HP), financial services (Experian, CapitalOne Bank), security awareness training (KnowBe4), travel (Expedia), healthcare (GSK), car rental (Avis), retail/e-commerce (Belcorp), SaaS (Freshworks), and digital commerce (Campspot). [Source]
Sedai addresses pain points such as cost inefficiencies, operational toil, performance and latency issues, lack of proactive issue resolution, complexity in multi-cloud/hybrid environments, and misaligned priorities between engineering and FinOps teams. [Source]
Sedai solves problems including overprovisioning, manual and repetitive tasks, high latency, downtime, cloud complexity, and conflicting goals between teams by providing autonomous optimization, automation, and actionable insights. [Source]
Sedai is trusted by industry leaders such as Palo Alto Networks, HP, Experian, KnowBe4, Expedia, CapitalOne Bank, GSK, and Avis. These organizations rely on Sedai to manage mission-critical production systems and complex workloads. [Source]
Yes. For example, KnowBe4 achieved up to 50% cost savings in production and $1.2 million in AWS bill savings. Palo Alto Networks saved $3.5 million, reduced Kubernetes costs by 46%, and reclaimed 7,500 engineering hours. Belcorp reduced AWS Lambda latency by 77%. [KnowBe4] [Palo Alto Networks]
Customers like Guidewire Software and KnowBe4 praise Sedai for going beyond dashboards to take real-time action, delivering rapid ROI, and freeing teams to focus on strategic projects. [Source]
Sedai offers 100% autonomous optimization, proactive issue resolution, application-aware intelligence, full-stack coverage, release intelligence, and rapid plug-and-play implementation—features not commonly found together in other solutions. [Source]
Platform engineers benefit from reduced toil and IaC consistency; IT/cloud ops see lower ticket volumes and safe automation; technology leaders gain measurable ROI and cost savings; FinOps teams align engineering and cost goals; SREs get proactive SLO protection and reduced alert fatigue. [Source]
Sedai’s unique features include 100% autonomous optimization, proactive issue resolution, application-aware intelligence, full-stack cloud coverage, release intelligence, and rapid plug-and-play implementation. [Source]
Sedai provides personalized onboarding, a dedicated Customer Success Manager for enterprise customers, detailed documentation, a community Slack channel, and email/phone support. [Source]
Yes, Sedai offers a 30-day free trial so users can experience the platform’s value firsthand before making a commitment. [Source]
Sedai
Content Writer
June 16, 2025
Featured
SAN FRANCISCO, CA — June 16, 2025 — Sedai, the self-driving cloud™, announced today 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.
Core capabilities include:
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.
"With Sedai, our team is planning to take command of our cloud resources," said Anoop Gopalakrishnan, VP of Engineering at Guidewire Software. "The Sedai platform goes way beyond the dashboards and reports that other tools provide. Sedai not only identifies wasted spend and performance issues — it takes action to fix the problem, in real time. If you want to feel truly in control of a complex cloud, you will need this level of AI.”
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.
“For our business to move fast, we need our cloud to operate at peak performance,” said Venkat Gopalan, Chief Technology Officer at Belcorp. “Sedai gives us that confidence. The AI manages and optimizes every application, every second of the day, so Belcorp’s cloud is always efficient and reliable. Sedai dramatically reduces our costs. But more importantly, it speeds up the pace that our engineering team can innovate.”
Sedai grew revenue 7X in 2024, fueled by large-scale deployments across multiple Fortune 500 firms and a 92% POC-to-customer conversion rate. For Sedai’s investors, the market opportunity is clear:
“As cloud adoption increases, companies are now struggling to improve the availability and performance of their infrastructure, while also reducing cost,” said Manish Agarwal, General Partner at AVP. “FinOps, as a category, has emerged to help companies get visibility into their cloud spend. However, we feel that visibility is only a small part of the solution. What enterprises really need is a way to optimize their cloud environment, in real time. Our view is that AI agents are uniquely positioned to address this need and enable autonomous cloud management. Sedai fits squarely into that thesis, and we are honored to be part of the company.”
"The rise of AI has led to both revolutionary new products and runaway cloud costs," said Matthew Howard, General Partner at Norwest Venture Partners. "I see Sedai as a foundational tool in the enterprise stack, because it empowers engineers to build powerful AI systems, without wasting millions of dollars. There's an enormous opportunity to make GPUs more efficient, and Sedai is in the perfect position to lead the charge. We're thrilled to be part of its story."
“Sedai doesn’t just save money, it rewrites the physics of how engineering teams operate,” said Tim Guleri, Managing Partner at Sierra Ventures. “It’s the first AI system we’ve seen that turns cloud infrastructure into a competitive advantage, not a cost center."
"There was a time when we had to write every line of code by hand and install servers ourselves, just like cars used to have manual transmissions,” said Salil Deshpande, General Partner at Uncorrelated Ventures. “Those days are over. Today, AI can optimize cloud resources and fix performance issues, at all hours of the day. Driving stick isn’t the best way to get around anymore, and neither is manually managing your infrastructure. Sedai has shown that the future of the cloud is self-driving."
Sedai is the world’s first self-driving cloud.™ Our platform uses patented AI to safely optimize your compute, storage, and data — freeing your engineers from routine work. Whatever your cloud looks like, Sedai learns how to drive it and fixes issues in seconds, before they waste money or cause outages. Today, we save millions of dollars for engineering leaders at Palo Alto Networks, Experian, and McGraw Hill. See for yourself: sedai.io
AVP is an independent global investment platform dedicated to high-growth, tech (from deep-tech to tech-enabled) companies across Europe and North America, managing more than €2.5bn of assets across four investment strategies: venture, early growth, growth and fund of funds. Our multi-stage platform combines global research with local execution to drive investment. Since its establishment in 2016, AVP has invested in more than 60 technology companies and in more than 60 funds with the Fund of Funds investment strategy. Beyond providing equity capital, our expansion team works closely with founders, providing the expertise, connections and resources needed to unlock growth opportunities, and create lasting value through meaningful collaborations.
For more information, visit our new website: www.avpcap.com
Logan GoldbergSr. Director of Brandpress@sedai.io
