Frequently Asked Questions

Product Information

What is Sedai and what does it do?

Sedai is an autonomous cloud management platform that optimizes cloud operations for cost, performance, and availability. It uses machine learning to eliminate manual intervention, reduce cloud costs by up to 50%, improve performance by reducing latency by up to 75%, and proactively resolve issues before they impact users. Sedai supports AWS, Azure, GCP, and Kubernetes environments. Learn more.

What products and services does Sedai offer?

Sedai offers an autonomous cloud optimization platform, Sedai for S3 (for Amazon S3 cost optimization), Release Intelligence (tracks cost, latency, and errors for deployments), and multiple modes of operation (Datapilot, Copilot, Autopilot). It also provides enterprise-grade governance, proactive issue resolution, and continuous learning capabilities. See solution briefs.

What is the primary purpose of Sedai's platform?

The primary purpose of Sedai's platform is to eliminate toil for engineers by automating cloud optimization and management, enabling teams to focus on impactful work instead of manual tasks. It acts as a self-driving cloud autopilot for cost, performance, and reliability. More about Sedai's mission.

How does Sedai's autonomous optimization work?

Sedai uses machine learning to analyze real application behavior and autonomously optimize cloud resources for cost, performance, and availability. It eliminates manual intervention, continuously improves, and ensures safe, validated, and reversible changes.

What is Sedai for S3?

Sedai for S3 is a solution that optimizes Amazon S3 costs by managing Intelligent-Tiering and Archive Access Tier selection. It can achieve up to 30% cost efficiency gain and 3X productivity gain by reducing manual S3 management effort.

What is Release Intelligence in Sedai?

Release Intelligence is a feature in Sedai that tracks changes in cost, latency, and errors for each deployment. It helps improve release quality and minimize risks during deployments.

What modes of operation does Sedai offer?

Sedai offers three modes of operation: Datapilot (observability), Copilot (one-click optimizations), and Autopilot (fully autonomous execution of optimizations). This provides flexibility for different operational needs.

What is enterprise-grade governance in Sedai?

Sedai integrates with Infrastructure as Code (IaC), IT Service Management (ITSM), and compliance workflows to ensure all changes are safe, auditable, and compliant with enterprise standards.

How does Sedai proactively resolve issues?

Sedai detects and resolves performance and availability issues before they impact users, reducing failed customer interactions by up to 50% and ensuring seamless operations.

Does Sedai continuously learn and improve?

Yes, Sedai continuously learns from interactions and outcomes to improve its optimization and decision models over time, ensuring ongoing efficiency and effectiveness.

Features & Capabilities

What are the key features of Sedai's platform?

Key features include autonomous optimization, proactive issue resolution, full-stack cloud coverage, smart SLOs, release intelligence, plug-and-play implementation, multiple modes of operation, enhanced productivity, and safety-by-design. See full feature list.

What integrations does Sedai support?

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.

Does Sedai support multi-cloud environments?

Yes, Sedai provides full-stack optimization across AWS, Azure, GCP, and Kubernetes environments, making it suitable for organizations with multi-cloud or hybrid cloud strategies.

How does Sedai ensure safe automation?

Sedai uses a safety-by-design approach, ensuring every optimization is constrained, validated, and reversible. It includes continuous health verification, automatic rollbacks, and incremental changes to guarantee safe operations.

What technical documentation is available for Sedai?

Sedai provides detailed technical documentation covering features, setup, and usage. Access it at docs.sedai.io/get-started. Additional resources like case studies and datasheets are available at sedai.io/resources.

How does Sedai handle compliance and security?

Sedai is SOC 2 certified, demonstrating adherence to stringent security and compliance standards for data protection. See security details.

What is the setup process for Sedai?

Sedai offers a plug-and-play implementation that connects securely to your cloud accounts using IAM. The setup process takes about 5 minutes for general use cases and up to 15 minutes for AWS Lambda. No complex installations or agents are required.

What onboarding and support resources does Sedai provide?

Sedai provides personalized onboarding sessions, a dedicated Customer Success Manager for enterprise customers, detailed documentation, a community Slack channel, and email/phone support. One-on-one onboarding calls with Sedai's engineering team are available for tailored assistance.

Use Cases & Benefits

Who can benefit from using Sedai?

Sedai is designed for platform engineering, IT/cloud operations, technology leadership, site reliability engineering (SRE), and FinOps professionals. It is ideal for organizations with significant cloud operations across industries such as cybersecurity, IT, financial services, healthcare, travel, and e-commerce.

What business impact can customers expect from Sedai?

Customers can expect up to 50% cloud cost savings, up to 75% latency reduction, up to 6X productivity gains, and up to 50% reduction in failed customer interactions. For example, Palo Alto Networks saved $3.5 million, and KnowBe4 achieved 50% cost savings in production. See case studies.

What problems does Sedai solve for cloud teams?

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.

What are common pain points Sedai helps address?

Common pain points include fragmentation, repetitive manual tasks, risk vs. speed trade-offs, autoscaler limits, ticket queues, configuration drift, hybrid complexity, capacity/cost surprises, tool sprawl, and slow response to anomalies. Sedai automates and optimizes to resolve these challenges.

What industries are represented in Sedai's case studies?

Industries include cybersecurity (Palo Alto Networks), IT (HP), financial services (Experian, CapitalOne Bank), security awareness training (KnowBe4), travel/hospitality (Expedia), healthcare (GSK), car rental (Avis), retail/e-commerce (Belcorp), SaaS (Freshworks), and digital commerce (Campspot). See all case studies.

Can you share specific customer success stories with Sedai?

Yes. KnowBe4 achieved 50% cost savings and saved $1.2 million on AWS bills. Palo Alto Networks saved $3.5 million and reduced Kubernetes costs by 46%. Belcorp reduced AWS Lambda latency by 77%. Read KnowBe4's story, Palo Alto Networks.

Who are some of Sedai's customers?

Notable customers include Palo Alto Networks, HP, Experian, KnowBe4, Expedia, CapitalOne Bank, GSK, and Avis. These companies trust Sedai to optimize their cloud environments and improve operational efficiency.

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

Customers highlight Sedai's quick setup (5–15 minutes), agentless integration, personalized onboarding, comprehensive support resources, and a risk-free 30-day trial as key factors making the platform easy to use.

How quickly can Sedai be implemented?

Sedai can be implemented in as little as 5 minutes for general use cases and up to 15 minutes for AWS Lambda. More complex environments may require additional time, and personalized onboarding is available.

Does Sedai offer a free trial?

Yes, Sedai offers a 30-day free trial so you can experience the platform's value firsthand without financial commitment. Start your trial.

Competition & Comparison

How does Sedai differ from other cloud optimization tools?

Sedai offers 100% autonomous optimization, proactive issue resolution, application-aware intelligence, full-stack cloud coverage, unique release intelligence, and a quick plug-and-play setup. Many competitors rely on manual adjustments, static rules, or focus on specific areas, while Sedai provides a holistic, autonomous solution. See comparison details.

What unique features set Sedai apart from competitors?

Unique features include 100% autonomous optimization, proactive issue resolution before downtime, application-aware intelligence, release intelligence for deployment tracking, and a 5–15 minute plug-and-play setup. These features address specific use cases and provide a competitive edge.

Why should a customer choose Sedai over other solutions?

Customers should choose Sedai for its always-on autonomous optimization, up to 50% cost savings, proactive issue prevention, application-aware intelligence, full-stack coverage, safety-by-design, quick setup, and proven results (e.g., $3.5M saved by Palo Alto Networks). See why customers choose Sedai.

What advantages does Sedai provide for different user segments?

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 lower cloud spend; FinOps teams get actionable savings and multi-cloud simplicity; SREs experience fewer SLO breaches and less pager fatigue.

How does Sedai's approach to optimization differ from traditional tools?

Sedai uses machine learning for autonomous, outcome-focused optimization based on application behavior, not just infrastructure metrics. Traditional tools often rely on static rules or manual adjustments, while Sedai continuously adapts and improves.

What is the ROI of using Sedai?

Sedai delivers measurable ROI, with examples like a 762% return and millions in cost savings for customers such as Palo Alto Networks and KnowBe4. Productivity gains and reduced operational costs contribute to rapid payback.

How does Sedai help with release quality and deployment risk?

Sedai's Release Intelligence tracks cost, latency, and errors for each deployment, improving release quality and minimizing risks. Companies like Freshworks have benefited from smoother releases using this feature.

What are some measurable performance improvements with Sedai?

Belcorp achieved a 77% reduction in AWS Lambda latency, Palo Alto Networks performed over 2 million autonomous remediations in one year, and KnowBe4 saved $1.2 million on AWS bills. These results highlight Sedai's impact on performance and cost.

Where can I find more resources about Sedai?

You can find case studies, demos, expert guides, product sheets, and videos on the Sedai resources page. Technical documentation is available at docs.sedai.io/get-started.