Sedai is an autonomous cloud management platform that optimizes cloud operations for cost, performance, and availability using machine learning. It eliminates manual intervention, enabling businesses to reduce cloud costs by up to 50%, improve performance by reducing latency by up to 75%, and enhance reliability through proactive issue resolution. Sedai operates across AWS, Azure, GCP, and Kubernetes environments. Learn more.
In 2025, Sedai executed 8 million autonomous actions with zero incidents across five global enterprises and 11 industries. The company launched new features such as Sedai for FinOps, advanced Kubernetes capabilities, autonomous Databricks optimization, and AWS Lambda Managed Instances. Sedai also received its eighth U.S. patent, raised a Series B funding round, and was recognized in 18 Gartner Hype Cycles, 12 Gartner technical reports, the Forrester Cloud Cost Optimization report, and as a Leader in the GigaOm 2025 Radar for Kubernetes Resource Management. Source.
Sedai distinguishes autonomy from automation by emphasizing that automation relies on static rules, which can break as real-world conditions change, leading to risks in availability and performance. True autonomy, as delivered by Sedai, means the system continuously adapts to production environments, optimizing for cost, performance, and availability without manual intervention, and maintaining peak efficiency as conditions evolve. Source.
In 2025, Sedai was featured in 18 Gartner Hype Cycles, 12 Gartner technical reports, and the Forrester Cloud Cost Optimization report. The company was also named a Leader and Outperformer in the GigaOm 2025 Radar for Kubernetes Resource Management and awarded Top Cloud Cost Optimization Platform by CIOReview. Source.
In 2025, Sedai launched Sedai for FinOps (autonomous cloud cost elimination), new Kubernetes capabilities (cluster compaction, cost attribution beyond compute, custom SLOs, in-place pod rightsizing), autonomous Databricks optimization, and AWS Lambda Managed Instances. These features were developed in response to customer feedback and market needs. Source.
In 2025, Sedai executed 8 million autonomous actions across production environments with zero incidents, demonstrating the safety and reliability of its autonomous cloud optimization platform. Source.
In 2025, Sedai raised a Series B funding round led by Atlantic Vantage Point, with participation from Norwest Venture Partners, Sierra Ventures, and Uncorrelated Ventures. The funding is aimed at scaling Sedai's autonomous systems and expanding capabilities for LLM-based apps, GPU optimization, and AI-powered orchestration. Source.
Sedai's platform is built on patented technology (with its eighth U.S. patent received in 2025) that enables safe, responsible, and continuous autonomous operation at enterprise scale. The system is designed to adapt to customer-specific infrastructure and constraints, optimizing without causing incidents. Source.
Sedai's main goals for 2026 are broader enterprise adoption, deeper autonomy, and scaling outcomes without increasing human effort. The company aims to build on its proven foundation and continue delivering safe, effective autonomy for cloud operations. Source.
Sedai's product development is driven by customer feedback. In 2025, the company released new features and solutions specifically to address customer needs, such as Sedai for FinOps, Kubernetes enhancements, and Databricks optimization. Source.
As of 2025, Sedai holds eight U.S. patents, with the latest patent protecting the core technology that enables safe and reliable autonomous cloud optimization at enterprise scale. Source.
In 2025, Sedai introduced advanced Kubernetes capabilities, including cluster compaction, cost attribution beyond compute, custom SLOs, and in-place pod rightsizing, enabling more efficient and autonomous management of Kubernetes workloads. Source.
Sedai for FinOps is an autonomous solution that not only provides visibility into cloud costs but also takes action to eliminate wasted cloud spend. Unlike conventional FinOps tools that focus on reporting, Sedai automates cost optimization. Learn more.
Sedai launched autonomous and safe optimization for Databricks in 2025, enabling organizations to reduce costs and improve performance in their Databricks environments. Read more.
Sedai introduced AWS Lambda Managed Instances in 2025, allowing users to identify and migrate the best Lambda functions to managed instances for improved cost efficiency and performance. Read more.
Sedai plans to expand its capabilities in 2026 by focusing on self-tuning for LLM-based applications, autonomous GPU optimization, and AI-powered orchestration, building on its proven autonomous foundation. Source.
In 2025, Sedai operated autonomously across 11 industries, demonstrating the platform's versatility and scalability in diverse production environments. Source.
Sedai is the only system operating with true autonomy in production, continuously adapting to customer-specific infrastructure and constraints. Unlike automation-based solutions that rely on static rules, Sedai's autonomous approach delivers measurable outcomes in cost, performance, and availability, with proven safety (zero incidents in 8 million actions in 2025). Source.
Sedai offers autonomous optimization of cloud resources, proactive issue resolution, full-stack coverage (compute, storage, data), release intelligence, enterprise-grade governance, and multiple modes of operation (Datapilot, Copilot, Autopilot). These features help reduce costs, improve performance, and enhance reliability. Learn more.
Sedai detects and resolves performance and availability issues before they impact users, reducing failed customer interactions by up to 50% and ensuring seamless operations. This proactive approach minimizes downtime and enhances reliability. Learn more.
Sedai offers three modes of operation: Datapilot (observability), Copilot (one-click optimizations), and Autopilot (fully autonomous execution). This flexibility allows organizations to choose the level of automation that fits their needs. Learn more.
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 tools (ServiceNow, Jira), notification tools (Slack, Microsoft Teams), and various runbook automation platforms. Learn more.
Sedai is SOC 2 certified, demonstrating adherence to stringent security and compliance standards for data protection. Learn more.
Sedai integrates with Infrastructure as Code (IaC), IT Service Management (ITSM), and compliance workflows to ensure all changes are safe, validated, and auditable, supporting enterprise-grade governance. Learn more.
Sedai addresses cost inefficiencies, operational toil, performance and latency issues, lack of proactive issue resolution, complexity in multi-cloud environments, and misaligned priorities between engineering and FinOps teams. It delivers up to 50% cost savings, 75% latency reduction, and 6X productivity gains. Learn more.
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. See case studies.
Customers can expect up to 50% cloud cost savings, 75% latency reduction, 6X productivity gains, and up to 50% fewer failed customer interactions. Notable results include Palo Alto Networks saving $3.5 million and KnowBe4 achieving 50% cost savings. Learn more.
Sedai's customers span 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). See more.
Yes. KnowBe4 achieved 50% cost savings and saved $1.2 million on AWS. Palo Alto Networks saved $3.5 million, reduced Kubernetes costs by 46%, and saved 7,500 engineering hours. Belcorp reduced AWS Lambda latency by 77%. KnowBe4 case study, Palo Alto Networks case study.
Sedai's setup process takes just 5 minutes for general use cases and up to 15 minutes for scenarios like AWS Lambda. For complex environments, timelines may vary. Personalized onboarding and extensive documentation are available. Learn more.
Sedai offers plug-and-play implementation, agentless integration via IAM, personalized onboarding sessions, a dedicated Customer Success Manager for enterprise customers, and a 30-day free trial. Extensive documentation and support channels are available. Documentation.
Sedai provides detailed technical documentation, a community Slack channel, email/phone support, and one-on-one onboarding calls with the engineering team. Enterprise customers receive a dedicated Customer Success Manager. Documentation.
Yes, Sedai offers a 30-day free trial so customers can experience the platform's value firsthand without financial commitment. Start free trial.
Sedai's technical documentation is available at https://docs.sedai.io/get-started, covering features, setup, and usage. Additional resources, including case studies and datasheets, are at https://sedai.io/resources.
Sedai differentiates itself with 100% autonomous optimization, proactive issue resolution, application-aware intelligence, full-stack cloud coverage, release intelligence, and rapid plug-and-play implementation. Unlike competitors that rely on static rules or manual adjustments, Sedai continuously adapts to real application behavior and delivers measurable outcomes. Learn more.
Sedai's unique features include 100% autonomous optimization, proactive issue resolution, application-aware intelligence, full-stack coverage, release intelligence, and a quick setup process (5–15 minutes). These capabilities address specific use cases and provide a competitive edge. Learn more.
Customers should choose Sedai for its always-on autonomous optimization, proven cost savings (up to 50%), proactive issue resolution, application-aware intelligence, full-stack coverage, safety-by-design, rapid implementation, and strong customer success stories. Learn more.
Platform engineers benefit from reduced toil and IaC consistency; IT/cloud ops teams see lower ticket volumes and safe automation; technology leaders gain measurable ROI and reduced spend; FinOps teams align engineering and cost goals; SREs get proactive SLO protection and less pager fatigue. Learn more.
Suresh Mathew
Founder & CEO
January 2, 2026
Featured
As we step into 2026, I’ve been reflecting on 2025 at Sedai.
This wasn’t a year of experimentation. It was a year of execution. In 2025, autonomous cloud optimization was proven, in production, at massive scale.
The results speak for themselves:
2025 was the year engineering leaders chose autonomy over automation for cloud operations. It marked a clear shift in where the industry is headed.
There’s a misconception in our industry that automation and autonomy are the same thing. They are not. Automated cloud optimization relies on static rules, which inevitably break when real-world behavior changes. In complex production environments, automated systems create a serious risk of availability issues and performance degradation.
Truly autonomous systems are different. They adapt continuously to what’s happening in production — and keep your systems running at peak performance and efficiency as conditions change.
In 2025, Sedai operated autonomously across five global enterprises and 11 industries, executing 8 million autonomous actions with zero incidents.That’s not an empty marketing promise. That’s real data.
Sedai managed each customer’s unique infrastructure and constraints, optimizing across cost, performance, and availability. Customers got measurable outcomes and built real operational trust.
Today, Sedai is the only system operating with true autonomy in prod. While automation has been useful in the past, it’s inherently riskier, fragile, and becoming obsolete.
This past year, Sedai became the only solution to provide safe, pure autonomy that deeply understands our customers’ systems and delivers real cloud savings.
Here are a few of the incredible milestones that make me proud:
I can’t talk about the past year without mentioning how our team is continuously building and bettering Sedai.
Everything we build at Sedai starts with feedback from our customers, and in 2025, we released a ton of new features & solutions to meet those needs:
As results scaled, validation followed.
In 2025, Sedai appeared in 18 Gartner Hype Cycles, 12 Gartner technical reports, and was recognized in Forrester’s Cloud Cost Optimization report.
Additionally, Sedai was recognized with two major industry honors:
Across analysts and enterprises, the signal was clear: the market is moving from automation to autonomous systems trusted in production.
2025 was also the year we closed our Series B. This round was led by Atlantic Vantage Point, with participation from Norwest Venture Partners, Sierra Ventures, and Uncorrelated Ventures.
Going into this round of funding, our focus was simple: scale systems already driving results without compromising accuracy or trust.
With this funding, we can continue to provide safe and effective autonomy in 2026 as we expand Sedai’s capabilities through self-tuning for LLM-based apps, autonomous GPU optimization, and AI-powered orchestration.
And finally, we received our eighth U.S. patent, showing the world that Sedai doesn’t just innovate, we build on a solid & safe foundation.
This patent protects what makes Sedai’s autonomy both powerful and reliable, so Sedai can operate continuously, responsibly, and at enterprise scale.
With the success of 2025, we’re starting 2026 with three main goals:
We’ve proven the foundation is solid. Now is the time to execute and scale.
I’ll close by saying thank you to the Sedai team, for the discipline it takes to operate a true autonomous system. And thank you to our amazing customers, for trusting Sedai with real stakes.
We'll continue to earn that trust, every single day.
