Sedai is an autonomous cloud management platform that creates the world’s first self-driving cloud. It eliminates manual toil for engineers by autonomously optimizing cloud resources for cost, performance, and availability using machine learning. Sedai helps businesses reduce cloud costs by up to 50%, improve performance by reducing latency by up to 75%, and proactively resolve issues before they impact users. [Source]
Sedai offers an autonomous cloud optimization platform, Sedai for S3 (for Amazon S3 cost optimization), Release Intelligence (tracks cost, latency, and errors per deployment), and multiple modes of operation (Datapilot, Copilot, Autopilot). It also provides enterprise-grade governance, proactive issue resolution, and continuous learning for optimization. [Source]
Sedai autonomously optimizes cloud resources for cost, performance, and availability, proactively resolves issues, covers the full cloud stack (compute, storage, data), sets and monitors SLOs, tracks release metrics, and offers quick plug-and-play implementation. Customers see up to 50% cost savings, 75% latency reduction, and 6X productivity gains. [Source]
Sedai addresses 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]
The primary purpose of Sedai is to eliminate toil for engineers by automating routine cloud management tasks, enabling teams to focus on impactful work and innovation. [Source]
Yes, Sedai provides 100% autonomous optimization, eliminating overprovisioning and optimizing cloud resources based on real application behavior without manual intervention. [Source]
Sedai offers three modes: Datapilot (observability), Copilot (one-click optimizations), and Autopilot (fully autonomous execution), allowing teams to choose their preferred level of automation. [Source]
Sedai supports AWS, Azure, GCP, Kubernetes, ECS, databases, data platforms, serverless, storage, and VMs, providing optimization across the full cloud stack. [Source]
Sedai integrates with Cloudwatch, Prometheus, Datadog, Azure Monitor, HPA/VPA, Karpenter, GitLab, GitHub, Bitbucket, Terraform, ServiceNow, Jira, Slack, Microsoft Teams, and various runbook automation platforms. [Source]
Sedai integrates with Infrastructure as Code (IaC), IT Service Management (ITSM), and compliance workflows, ensuring all changes are safe, validated, and auditable. [Source]
Yes, Sedai's Release Intelligence tracks changes in cost, latency, and errors for each deployment, improving release quality and minimizing risks. [Source]
Sedai detects and resolves performance and availability issues before they impact users, reducing failed customer interactions by up to 50% and ensuring seamless operations. [Source]
Sedai’s setup process takes just 5 minutes for general use cases and up to 15 minutes for specific scenarios like AWS Lambda. For complex environments, timelines may vary. [Source]
Sedai offers plug-and-play implementation, agentless integration via IAM, personalized onboarding, detailed documentation, and a 30-day free trial for risk-free evaluation. [Source]
Sedai provides technical documentation, onboarding calls, a community Slack channel, email/phone support, and a dedicated Customer Success Manager for enterprise customers. [Source]
Customers highlight Sedai’s quick setup (5–15 minutes), agentless integration, personalized onboarding, and extensive resources as key factors for its simplicity and efficiency. [Source]
Sedai is designed for platform engineers, IT/cloud operations, technology leaders (CTO, CIO, VP Engineering), site reliability engineers (SREs), and FinOps professionals in organizations with significant cloud operations. [Source]
Sedai serves industries including cybersecurity, IT, financial services, healthcare, travel, e-commerce, SaaS, and digital commerce, as demonstrated in its case studies. [Source]
Sedai addresses pain points such as cloud cost overruns, operational toil, performance bottlenecks, slow manual optimizations, ticket queues, and misaligned engineering/FinOps priorities. [Source]
Customers can expect up to 50% cloud cost savings, 75% latency reduction, 6X productivity gains, improved release quality, and reduced failed customer interactions by up to 50%. [Source]
Sedai's customers include Palo Alto Networks, HP, Experian, KnowBe4, Expedia, CapitalOne Bank, GSK, and Avis. [Source]
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], [Palo Alto Networks]
Customers like Belcorp achieved a 77% reduction in AWS Lambda latency, and Palo Alto Networks performed over 2 million autonomous remediations in one year, demonstrating significant operational efficiency and performance gains. [Source]
Sedai offers 100% autonomous optimization, proactive issue resolution, application-aware intelligence, full-stack coverage, release intelligence, and quick plug-and-play setup. Many competitors rely on static rules, manual adjustments, or focus on specific areas, while Sedai provides a holistic, autonomous solution. [Source]
Sedai’s unique features include autonomous optimization, proactive issue resolution, application-aware intelligence, release intelligence, and rapid implementation. These enable continuous improvement, cost savings, and risk reduction not commonly found in other solutions. [Source]
Sedai automates routine tasks for platform engineers, reduces ticket volume for IT/cloud ops, delivers measurable ROI for technology leaders, aligns engineering and cost efficiency for FinOps, and proactively resolves issues for SREs. [Source]
Yes, Sedai is SOC 2 certified, demonstrating adherence to stringent security and compliance standards. [Source]
Sedai follows industry best practices for data protection, integrates with compliance workflows, and maintains SOC 2 certification to ensure secure and auditable operations. [Source]
Technical documentation for Sedai is available at docs.sedai.io/get-started, covering features, setup, and usage. Additional resources like case studies and datasheets are at sedai.io/resources.
Yes, Sedai provides product sheets for AWS, GCP, Kubernetes, and platform overview, as well as demos such as optimizing Google Cloud VMs & Storage. These are available on the resources page.
You can book a demo with Sedai by visiting sedai.io/demo and selecting a time that works for you.
Yes, Sedai offers a 30-day free trial, allowing you to experience the platform’s value firsthand without financial commitment. [Sign up]
Sedai integrates with popular monitoring, IaC, CI/CD, ITSM, and notification tools, ensuring seamless adoption into your current cloud management processes. [Source]
Sedai optimizes compute, storage, and data across AWS, Azure, GCP, Kubernetes, ECS, databases, data platforms, serverless, storage, and VMs. [Source]
Yes, Sedai provides solutions for cloud cost optimization, application performance, toil reduction, FinOps automation, cloud reliability improvement, and release quality. [Source]
Yes, Sedai offers tailored solutions and resources for technology leadership, platform engineering, SRE, FinOps, and cloud operations roles. [Source]
