Sedai is an autonomous cloud management platform that optimizes cloud operations for cost, performance, and availability. It uses machine learning to automate resource optimization, reduce manual toil for engineers, and proactively resolve issues before they impact users. Sedai supports AWS, Azure, GCP, and Kubernetes environments. [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 and proactive issue resolution. [Source]
The primary purpose of Sedai is to eliminate manual toil for engineers by automating cloud optimization, enabling teams to focus on impactful work and innovation. It acts as a self-driving cloud autopilot for cost, performance, and reliability. [Source]
Sedai offers three modes: Datapilot (observability), Copilot (one-click optimizations), and Autopilot (fully autonomous execution). These modes provide flexibility for different operational needs. [Source]
Release Intelligence is a feature that tracks changes in cost, latency, and errors for each deployment, helping teams improve release quality and minimize risks. [Source]
Key features include autonomous optimization, proactive issue resolution, full-stack cloud coverage, smart SLOs, release intelligence, plug-and-play implementation, multiple operation modes, enhanced productivity, and safety-by-design. [Source]
Yes, Sedai optimizes compute, storage, and data across AWS, Azure, GCP, and Kubernetes environments, providing unified cloud management. [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 integrates with Infrastructure as Code (IaC), IT Service Management (ITSM), and compliance workflows to ensure all changes are safe, validated, and auditable. [Source]
Sedai for S3 is a solution that optimizes Amazon S3 costs by managing Intelligent-Tiering and Archive Access Tier selection, achieving up to 30% cost efficiency gain and 3X productivity gain by reducing manual effort. [Source]
Customers can expect up to 50% reduction in cloud costs, up to 75% reduction in latency, up to 6X productivity gains, and up to 50% reduction in failed customer interactions. Notable results include Palo Alto Networks saving $3.5 million and KnowBe4 achieving 50% cost savings. [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 industries including cybersecurity, information technology, financial services, security awareness training, travel and hospitality, healthcare, car rental services, retail and e-commerce, SaaS, and digital commerce. [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]
Yes. KnowBe4 achieved 50% cost savings and saved $1.2 million on AWS; Palo Alto Networks saved $3.5 million and reduced Kubernetes costs by 46%; Belcorp reduced AWS Lambda latency by 77%; Campspot achieved a 34% reduction in Lambda latency. [KnowBe4], [Palo Alto Networks]
Notable customers include Palo Alto Networks, HP, Experian, KnowBe4, Expedia, CapitalOne Bank, GSK, and Avis. [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 sessions, a dedicated Customer Success Manager for enterprise customers, and extensive documentation and support resources. [Source]
Sedai provides detailed technical documentation, a community Slack channel, email and phone support, and one-on-one onboarding calls with the engineering team. [Documentation]
Yes, Sedai offers a 30-day free trial so users can experience the platform's value firsthand without financial commitment. [Source]
Customers highlight Sedai's quick setup (5–15 minutes), agentless integration, personalized onboarding, and extensive support resources as key factors for its ease of use. [Source]
Yes, Sedai is SOC 2 certified, demonstrating adherence to stringent security requirements and industry standards for data protection and compliance. [Source]
Sedai maintains high standards of security and compliance, with SOC 2 certification and integration with compliance workflows to ensure safe and auditable changes. [Source]
Sedai offers 100% autonomous optimization, proactive issue resolution, application-aware intelligence, full-stack cloud coverage, release intelligence, and plug-and-play implementation. Unlike competitors, Sedai operates autonomously and proactively, with a holistic approach and unique features like release intelligence. [Source]
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). [Source]
Customers should choose Sedai for its always-on autonomous optimization, cost savings (up to 50%), proactive issue resolution, application-aware intelligence, full-stack coverage, safety-by-design, quick setup, and proven results with named customers. [Source]
Platform engineers benefit from reduced toil and IaC consistency; IT/cloud ops teams see reduced ticket volumes and safe automation; technology leaders get measurable ROI and reduced spend; FinOps teams align engineering and cost goals; SREs get proactive issue resolution and reduced pager fatigue. [Source]
Sedai addresses fragmentation, repetitive toil, balancing risk and speed, autoscaler limits, visibility-action gaps, and multi-tenant fairness for platform engineering teams. [Source]
Sedai helps IT/cloud ops teams with high ticket volumes, change risk, config drift, hybrid complexity, and capacity/cost surprises. [Source]
Sedai helps technology leaders close the outcome gap, manage cloud spend pressure, address risk and compliance, reduce tool sprawl, and free up talent bandwidth for innovation. [Source]
Sedai addresses release risk, SLO drift, toil overload, pager fatigue, brittle automation, change control friction, and cross-team trade-offs for SREs. [Source]
Sedai helps FinOps teams by converting visibility into actionable savings, simplifying multi-cloud complexity, aligning engineering and cost priorities, overcoming resistance to change, automating optimization, and speeding up anomaly response. [Source]
Sedai's technical documentation is available at https://docs.sedai.io/get-started, covering features, setup, and usage. Additional resources like case studies and guides are at https://sedai.io/resources.
The Sedai resources page offers case studies, demos, expert guides, product sheets, videos, and playbooks covering cloud optimization, customer success, and technical best practices. [Source]
Yes, the resources page includes video demos such as "Optimize Your Cloud with Sedai" and customer testimonials like "How KnowBe4 Cut Infrastructure Costs with Sedai." [Source]
You can access Sedai's case studies directly from the resources page, including stories from KnowBe4, Palo Alto Networks, Belcorp, and others. [Source]
Yes, expert guides and playbooks such as "The Startup Within A Startup Playbook" and "The 23-Minute Playbook for On-Prem Products" are available to help users learn from industry leaders. [Source]
Learn how Sedai safely lowers your cloud costs — with zero risk to performance.
On this episode of 1 IDEA, Suresh Mathew sits down with Kevin Trilli (CPTO @ FIS Amount) to unpack his playbook for getting ahead of technology transitions, like the AI era.
Watch videoSedai optimized the company's AWS Lambda functions, on autopilot, with no manual toil.
John Wang (Co-Founder @ Assembled) did what most companies talk about but rarely pull off: he spun up a four-person AI team inside an existing company, ran it like a YC startup, and hit millions in ARR in 18 months. But the board was angry, the org nearly split, and the sales team couldn't sell the product.
Watch video
We solved GPU optimization. In this episode of 1 IDEA, Suresh Mathew sits down with Pooja Malik, Distinguished Engineer at Sedai, to talk through how Sedai's engineering team built GPU optimization from scratch, why the standard metrics fail, and what's still unsolved.
Watch video
Learn how Sedai has saved KnowBe4 more than $1.2 million in cloud costs, while eliminating thousands of hours of engineering toil.
Watch video
Gil Feig (CTO @ Merge) took on what everyone warned him not to: on-premises deployment. 18 weeks to first customer, and a support model that could sink the company.
Watch video
John Wang (Co-Founder @ Assembled) did what most companies talk about but rarely pull off: he spun up a four-person AI team inside an existing company, ran it like a YC startup, and hit millions in ARR in 18 months. But the board was angry, the org nearly split, and the sales team couldn't sell the product.
Watch video.webp)
Learn how Sedai safely lowers your cloud costs — with zero risk to performance.
Watch video
In this episode of 1 IDEA, Suresh Mathew sits down with Preeti Somal (SVP of Engineering @ Temporal) to unpack how her team prepared for a failure they knew was coming and how other engineering leaders can do the same.
Watch video