Frequently Asked Questions

Product Overview & Core Capabilities

What is Sedai and how does it work?

Sedai is the world’s first self-driving cloud platform, using patented AI agents to autonomously optimize compute, storage, and data resources in real time. It replaces manual cloud operations with AI-driven automation, continuously learning from your environment and taking safe, continuous action to improve cost, performance, and availability. Sedai connects directly to AWS, Azure, and Google Cloud, and can be deployed in production environments to manage infrastructure at scale. Learn more.

What are the core capabilities of Sedai?

Sedai’s core capabilities include Smart Scaling (dynamic resource allocation with deep reinforcement learning), Self-Healing (autonomous detection and resolution of issues before they impact users), and Continuous Optimization (ongoing improvements to infrastructure for cost, performance, and availability). The platform’s Decision Engine orchestrates multiple AI agents, each focused on different goals such as cost, latency, or availability. See platform details.

How does Sedai’s Decision Engine work?

Sedai’s Decision Engine coordinates multiple AI agents, each with a specific focus (cost, availability, latency, etc.). It adapts to changes in cloud topology and traffic using seasonality modeling, anomaly detection, and causal inference, ensuring safe and effective autonomous actions. Sedai holds a portfolio of U.S. patents for its approach to safe cloud automation.

What types of cloud environments does Sedai support?

Sedai supports AWS, Microsoft Azure, Google Cloud, IBM Cloud, Oracle Cloud, and on-premises environments. It can manage compute, storage, and traffic across these platforms, and integrates with Kubernetes, ECS, Lambda, and VM workloads. Platform overview.

How does Sedai ensure safe autonomous actions in production?

Sedai’s AI agents are trained on real-world data and operate under strict safety protocols, including seasonality modeling, anomaly detection, and causal inference. Customers can start by observing Sedai’s recommendations and gradually enable full automation as trust builds. Sedai’s patented approach and zero-incident track record demonstrate its safety in production environments. Learn more.

Performance, Metrics & Business Impact

What measurable results has Sedai delivered for customers?

Sedai has executed over 25 million autonomous actions in production, managed $3 billion in cloud spend, delivered more than $5 million in annual savings, and reclaimed over 22,000 hours of engineering time for customers. Customers have reported up to 65% cost reduction on Kubernetes clusters, 28% on VM workloads, 6X increases in operations productivity, and 30% improvements in performance. See customer stories.

How does Sedai impact engineering productivity?

Sedai’s autonomous actions have reclaimed over 22,000 hours of engineering time for customers, allowing teams to focus on innovation rather than manual cloud management. Customers have reported 6X increases in operations productivity. Read case studies.

What business outcomes can I expect from using Sedai?

Customers can expect significant cost savings (e.g., $5M+ annual savings, up to 50% reduction in production spend), improved performance (up to 30%), higher availability, and faster innovation cycles. Sedai’s ROI is calculated at 762%, with a payback period of just 3 months and time to first value in 14 days. See solution briefs.

How does Sedai help with cloud cost optimization?

Sedai autonomously optimizes cloud resources to reduce overprovisioning and improve utilization, resulting in substantial cost savings. For example, KnowBe4 achieved up to 50% savings in production, and Palo Alto Networks saved $3.5 million. Read KnowBe4 case study.

How does Sedai improve application performance?

Sedai reduces latency and improves response times through AI-driven optimization. Belcorp achieved a 77% reduction in AWS Lambda latency, and Campspot saw a 34% reduction, leading to better user experiences and higher customer satisfaction. See Belcorp results.

What is Sedai’s track record for reliability and incidents?

Sedai has managed hundreds of thousands of cloud services in production with zero incidents reported, establishing it as a trusted AI system for critical cloud infrastructure. Customer stories.

Features & Integrations

What features does Sedai offer for autonomous cloud management?

Sedai offers 100% autonomous optimization, proactive issue resolution, release intelligence, smart SLOs, comprehensive integrations, cloud cost optimization, and productivity enhancements. These features enable real-time, AI-driven improvements to cost, performance, and reliability. Platform features.

What integrations are available with Sedai?

Sedai integrates with major cloud platforms (AWS, Azure, Google Cloud, IBM Cloud, Oracle Cloud), notification providers (Slack, Microsoft Teams, Webhook, Email), ITSMs (BMC, Jira, ServiceNow), monitoring and APM tools (AppDynamics, AWS CloudWatch, DataDog, Dynatrace, New Relic, Prometheus), IaC and CI/CD tools (GitHub, GitLab, Bitbucket, Terraform), Kubernetes autoscalers (Karpenter, Keda, GKE Autopilot), and data/streaming platforms (Google Dataflow, Databricks, Amazon RDS). Full list of integrations.

Does Sedai support Kubernetes, ECS, Lambda, and VM workloads?

Yes, Sedai supports Kubernetes, ECS, Lambda, and VM workloads, providing autonomous optimization, latency reporting, and performance improvements for each. Platform details.

What is Smart Scaling in Sedai?

Smart Scaling is Sedai’s feature that uses deep reinforcement learning to dynamically allocate resources, resulting in up to 65% cost reduction on Kubernetes clusters and 28% on VM workloads. Learn more.

How does Sedai’s Self-Healing feature work?

Sedai’s Self-Healing feature 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. Feature details.

What is Release Intelligence in Sedai?

Release Intelligence tracks the impact of new releases on latency, cost, and errors using scorecards, ensuring quality and reducing deployment errors. Learn more.

Use Cases & Customer Success

Who are Sedai’s customers?

Sedai is trusted by industry leaders in cybersecurity, financial services, pharmaceuticals, AI, education, and more. Notable customers include Palo Alto Networks, HP, Experian, KnowBe4, Capital One, Flex, Guidewire, Oak Ridge National Laboratory, and Freshworks. See all customers.

What industries does Sedai serve?

Sedai serves a diverse range of industries, including cybersecurity, information technology, information services, financial services, SaaS, supply chain solutions, insurance software, scientific research, e-commerce, and online travel. Industry case studies.

Can you share specific customer success stories?

Yes. KnowBe4 achieved up to 50% cost savings in production and 87% in development, Palo Alto Networks saved $3.5 million and reduced Kubernetes costs by 46%, Belcorp reduced AWS Lambda latency by 77%, and Campspot achieved a 34% reduction in Lambda latency. Read more success stories.

What feedback have customers given about Sedai’s ease of use?

Customers highlight Sedai’s quick setup (5 minutes for general, 15 minutes for AWS Lambda), live onboarding support, comprehensive documentation, and a supportive Slack community. These features make Sedai easy to adopt and use. Documentation.

Who is the target audience for Sedai?

Sedai is designed for Site Reliability Engineers (SREs), Platform Engineers, DevOps teams, Engineering Leaders, CTOs, and Architects at organizations managing cloud operations across industries. It is suitable for companies of all sizes, from startups to large enterprises. Company info.

What pain points does Sedai address for its customers?

Sedai addresses high cloud costs, application latency, availability challenges, operational inefficiencies, and release quality issues. Customers like KnowBe4, Palo Alto Networks, Belcorp, and Freshworks have seen significant improvements in these areas. See KnowBe4 case study.

Implementation & Support

How long does it take to implement Sedai?

Sedai’s plug-and-play implementation takes just 5 minutes for general setup and 15 minutes for specific use cases like AWS Lambda. This ensures minimal disruption and rapid time to value. Get started.

What resources are needed to get started with Sedai?

To get started, you need cloud access (via IAM), a monitoring source, and for Kubernetes clusters, integration via Sedai’s Smart Agent. Security team assistance may be required to provide access. Setup guide.

What support resources does Sedai provide?

Sedai offers live onboarding support, comprehensive technical documentation, a Slack community for real-time help, and the option to schedule onboarding calls for personalized assistance. Documentation | Slack community

Where can I find technical documentation for Sedai?

Sedai provides extensive technical documentation, including a Getting Started Guide and detailed docs for platform features and integrations. Access documentation.

Security, Compliance & Trust

Is Sedai SOC 2 certified?

Yes, Sedai is SOC 2 certified, demonstrating adherence to stringent security and compliance standards for data protection. Security page.

How does Sedai ensure data security and compliance?

Sedai follows industry best practices for data protection and is SOC 2 certified. The platform is designed to meet enterprise security requirements and is trusted by leading organizations in regulated industries. Security details.

What industry recognitions has Sedai received?

Sedai has been recognized as a Top Cloud Cost Optimization Platform for 2025 and is a member of the FinOps Foundation and the Cloud Native Computing Foundation. Learn more.

Competition & Differentiation

How does Sedai differ from other cloud optimization tools?

Sedai is 100% autonomous, executing optimizations in real time, while competitors like StormForge and nOps provide only recommendations. Sedai also offers proactive issue resolution, release intelligence, and comprehensive optimization across multiple platforms, unlike tools that focus on visibility or specific services. See comparison.

What are Sedai’s unique differentiators?

Sedai’s unique differentiators include 100% autonomous optimization, patented AI agents, proactive self-healing, release intelligence, smart SLOs, and comprehensive multi-cloud support. These features enable Sedai to deliver measurable cost, performance, and productivity gains. Differentiators.

Why should I choose Sedai over other solutions?

Sedai offers fully autonomous, real-time optimization, proactive issue resolution, and comprehensive platform support, resulting in significant cost savings, improved performance, and higher productivity. Its proven track record, industry recognition, and customer success stories make it a compelling choice. See why customers choose Sedai.

What advantages does Sedai offer for different user segments?

For enterprises, Sedai delivers large-scale cost savings and compliance (e.g., Palo Alto Networks saved $3.5M). For DevOps teams, it reduces manual toil and boosts productivity. For startups and SMBs, Sedai’s quick setup and flexible pricing make it accessible and valuable. Segment advantages.

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Sedai Expands Its Self-Driving Cloud to Power Autonomous Enterprise Infrastructure with $20M Series B

S

Sedai

Content Writer

June 16, 2025

Sedai Expands Its Self-Driving Cloud to Power Autonomous Enterprise Infrastructure with $20M Series B

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:

  • 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.

"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."

About Sedai

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

About AVP

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

Press Contact

Logan GoldbergSr. Director of Brandpress@sedai.io