Frequently Asked Questions

Product Information

What is Sedai and what does it do?

Sedai is an autonomous cloud platform that optimizes cloud operations using advanced machine learning and AI. It delivers autonomous optimization for Kubernetes, serverless workloads, VMs, and AI infrastructure, focusing on cost reduction, performance improvement, and operational efficiency. Sedai's patented technology ensures safe, incremental optimizations with continuous validation checks, avoiding incidents or SLO breaches. Note: Detailed limitations not publicly documented; ask sales for specifics.

What new features has Sedai recently launched?

Recent launches include the Kubernetes Pod Interceptor and Smart Scheduler for improved optimization in Kubernetes environments, the Resource Lifecycle Dashboard for holistic cloud visibility, Guardrails as Code for IaC governance, Sedai GPU Optimization for AI infrastructure, and Autopilot for VM and Amazon RDS optimization. For more details, see Sedai's newsroom and blog articles. Note: Feature availability may vary by environment; check documentation for specifics.

What is Sed, Sedai's AI assistant?

Sed is Sedai's conversational AI assistant that enables users to ask questions, take action, and extend cloud optimization capabilities into custom agents. Sed integrates with Sedai's MCP for enhanced automation and governance. Note: Sed's advanced features may require additional configuration; consult documentation for details.

Features & Capabilities

What are Sedai's key features?

Sedai offers autonomous optimization, application-aware intelligence, safety-by-design (continuous health verification, automatic rollbacks, incremental changes), full-stack cloud coverage (AWS, Azure, GCP, Kubernetes, VMs, AI/ML workloads), release intelligence, and modes of operation (Datapilot, Copilot, Autopilot). Note: Some features may not be available in all environments; check documentation for specifics.

What integrations does Sedai support?

Sedai integrates with 12 APMs (including Prometheus, Datadog, AWS CloudWatch, Azure Monitor, Google Cloud Monitoring), Kubernetes autoscalers (HPA/VPA, Karpenter), IaC and CI/CD tools (GitHub, GitLab, Bitbucket, Terraform), ITSM tools (ServiceNow, PagerDuty, Jira), notification platforms, runbook automation, and cloud providers (AWS, Azure, GCP). Note: Integration depth may vary; consult documentation for compatibility details.

How does Sedai ensure safe optimizations?

Sedai's patented safety-by-design approach includes continuous health verification, automatic rollbacks, and incremental changes. Every optimization is validated before, during, and after execution, minimizing risk and preventing outages or SLO breaches. Note: Safety mechanisms may require configuration; consult documentation for implementation guidance.

Pricing & Plans

What is Sedai's pricing model?

Sedai uses resource-based pricing, determined by the resources optimized and value delivered. Kubernetes-specific pricing is available, and all costs are transparently outlined on Sedai's pricing page. Discounts from connected cloud billing accounts (e.g., Reserved Instances, Savings Plans) are factored into cost and savings calculations. Note: For custom pricing or large-scale deployments, contact Sedai sales for specifics.

Use Cases & Benefits

What business impact can customers expect from Sedai?

Customers can achieve up to 50% reduction in cloud costs, up to 75% latency reduction, up to 70% fewer failed customer interactions, and up to 6X productivity gains for engineering teams. Sedai proactively resolves issues, improves release quality, and enables measurable business value. Note: Actual results may vary by environment and workload; consult case studies for specifics.

Who can benefit from Sedai?

Sedai is designed for IT/cloud operations managers, FinOps leads, technology leaders (CTO, CIO, VP Engineering), SREs, platform engineers, and organizations focused on cloud cost efficiency, performance, reliability, and developer velocity. Note: Teams with highly custom legacy environments may require additional integration effort; ask sales for guidance.

What industries are represented in Sedai's case studies?

Sedai's case studies include cybersecurity (Palo Alto Networks, KnowBe4), security awareness training, beauty and personal care (Belcorp), travel and hospitality (Campspot), background check services (Inflection), and customer engagement software (Freshworks). Note: Industry-specific results may vary; see individual case studies for details.

Can you share specific customer success stories?

KnowBe4 achieved up to 50% cost savings and reduced response time from 18.5 seconds to 80 milliseconds (99.5% reduction). Palo Alto Networks saved $3.5 million through Sedai's optimization. Belcorp reduced AWS Lambda latency by 77%. Campspot saw a 34% reduction in AWS Lambda latency. Inflection improved platform performance and reduced cold start latency. Freshworks optimized AWS Lambda for better user experience. See Sedai's resources page for more details. Note: Results are specific to each customer environment.

Technical Requirements & Implementation

How long does it take to implement Sedai?

Initial setup can be completed in as little as 15 minutes using agentless or agent-based deployment. AI Agent Optimization typically takes two to three weeks. Databricks environments can be set up in under 15 minutes. Note: Implementation time may vary based on environment complexity; consult onboarding guides for specifics.

What technical documentation is available for Sedai?

Sedai provides comprehensive onboarding guides, Kubernetes optimization documentation, Databricks optimization instructions, and GPU optimization resources. Access documentation at docs.sedai.io/get-started. Note: Documentation is updated regularly; check for the latest guidance.

Security & Compliance

What security and compliance certifications does Sedai have?

Sedai is SOC 2 certified, demonstrating adherence to stringent security requirements and industry standards for data protection and compliance. For more details, visit Sedai's Security page. Note: Additional certifications may be available; contact Sedai for specifics.

Support & Implementation

What support options are available for Sedai customers?

Sedai offers personalized onboarding sessions, extensive documentation, a community Slack channel for real-time assistance, and a free Proof of Value with a 30-day free trial. Note: Support levels may vary by plan; contact Sedai for details.

Customer Proof

Who are some of Sedai's customers?

Named customers include KnowBe4, Palo Alto Networks, Belcorp, Campspot, Inflection, and Freshworks. These organizations have achieved measurable improvements in cost savings, latency reduction, and operational efficiency using Sedai. See Sedai's resources page for case studies. Note: Customer results are specific to their environments.

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Sedai News

Stay up to date with our company news and media coverage.

Kubernetes Pod Interceptor

September 10, 2026

Introducing Kubernetes Pod Interceptor: Optimize Without Fighting Your Pipeline

Sedai is introducing Pod Interceptor and Smart Scheduler — two changes to how Sedai executes and schedules on Kubernetes, so the optimization you've already identified actually lands, without fighting your GitOps pipeline or waiting on a manual consolidation step.

Meet Sed

August 6, 2026

Meet Sed: Sedai's New AI Assistant Brings Conversation (and Action) to Cloud Optimization

Introducing Sed and Sedai's MCP integration: ask questions, take action, and extend it into your own agents.

Resource Lifecycle Dashboard

July 28, 2026

See the Full Picture: Introducing the Resource Lifecycle Dashboard

Sedai already gives you deep visibility into individual resources, opportunities, and savings. Now we're providing a single place to step back and understand your entire environment at a glance.

Savings and Impact Dashboards

July 21, 2026

Announcing Cloud Savings Reporting You Can Defend in Any Room

Sedai's new savings and impact dashboards bring a new level of sophistication to how cloud value is calculated and communicated — with accuracy and transparency that no other optimization platform comes close to matching.

Sedai IaC Mapping Agent

July 14, 2026

Introducing the IaC Mapping Agent

Sedai has always been able to find the right optimization. Now it can eliminate IaC drift at the same time.

Autopilot Optimization

June 30, 2026

Sedai Extends Autopilot for VM and Amazon RDS Optimization

Sedai Autopilot now covers VMs and RDS — autonomous, incremental rightsizing with maintenance window controls and RL-based safety guardrails.

SiliconANGLE Coverage Image

June 16, 2026SiliconANGLE

Sedai raises $20M to optimize cloud environments with AI agents

Exclusive coverage of Sedai's Series B financial round, led by AVP.

Pulse 2.0 Coverage Image

June 16, 2026Pulse 2.0

Sedai: $20 Million Series B Raised For Self-Driving Cloud Technology

Sedai has already executed over 25 million autonomous actions in production, managing $3 billion in cloud spend

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

June 16, 2026

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

Sedai raises $20 million in Series B funding for its self-driving cloud. Fortune 500 companies use Sedai's patented AI to manage and optimize the cloud.

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