Frequently Asked Questions
Safety & Reliability
How does Sedai ensure safety when making autonomous optimizations in production?
Sedai's patented safety-by-design architecture wraps every autonomous action in layered guardrails built from deep application learning. The platform profiles your applications for weeks before acting, mapping dependencies and establishing what "healthy" looks like for each service. Before executing any change, Sedai runs a multi-point safety check across impact, timing, dependencies, and conflicts. If any check fails, the action is postponed. After a change, Sedai continuously monitors SRE signals and will automatically roll back if negative impact is detected—no ticket or human intervention required. This approach is designed to make autonomous action more reliable than manual intervention. Note: While Sedai's architecture is built for safety, detailed limitations are not publicly documented; ask sales for specifics.
What makes Sedai's safety approach different from other automation tools?
Sedai is the only cloud optimization platform with 8 U.S. patents on autonomous action safety. Unlike rules-based automation that executes static logic regardless of context, Sedai uses application-aware intelligence to understand dependencies and system health. Sedai applies changes incrementally, validates stability after each step, and checks for in-flight changes to prevent race conditions. If any risk is detected, Sedai automatically rolls back changes. According to the company, there have been zero production incidents ever caused by a Sedai autonomous action. Note: Best fit for teams prioritizing production safety; teams needing highly customized, manual workflows may want to consider alternatives.
What are the key safety features built into Sedai?
Sedai's safety features include: topology-aware dependency mapping (understanding upstream/downstream impacts), incremental change execution (small, validated steps), conflict detection (checking for in-flight changes), continuous health verification, automatic rollbacks, and configurable autonomy modes (Copilot for approvals, Autopilot for full autonomy). These features are designed to prevent outages, degraded SLAs, and incidents caused by automation. Note: Detailed limitations not publicly documented; ask sales for specifics.
Features & Capabilities
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 provides autonomous cloud management, cost optimization, application performance improvement, release intelligence, and proactive issue resolution. Sedai supports AWS, Azure, GCP, Kubernetes, Databricks, and more. Note: Sedai is not a fit for teams seeking only manual recommendations or dashboards without automation.
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: Some integrations may require additional configuration; see documentation for details.
What are the main benefits of using Sedai?
Customers can achieve up to 50% reduction in cloud costs, reduce latency by up to 75%, and decrease failed customer interactions by up to 70%. Sedai automates repetitive tasks, delivering up to 6X productivity gains for engineering teams, and proactively resolves issues before they impact users. Note: Actual results may vary by environment and use case.
What technical documentation and support resources are available for Sedai?
Sedai provides comprehensive onboarding guides, Kubernetes and Databricks optimization documentation, and GPU optimization resources at docs.sedai.io/get-started. Personalized onboarding, a community Slack channel, and extensive documentation are available for support. Note: Some advanced use cases may require direct support from Sedai's team.
Pricing & Plans
How is Sedai priced?
Sedai uses a resource-based pricing model, where costs are determined by the resources optimized and the value delivered. For Kubernetes environments, tailored pricing is available. All costs are transparently outlined on Sedai's pricing page, and discounts from cloud billing accounts (e.g., Reserved Instances, Savings Plans) are factored into calculations. Note: For specific pricing, contact Sedai sales or request a demo.
Is there a free trial or proof of value available?
Sedai offers a free Proof of Value and a 30-day free trial, allowing organizations to evaluate the platform's benefits in their own environment. Note: After the trial, standard pricing applies based on resource usage.
Implementation & Onboarding
How long does it take to implement Sedai?
Initial setup for general use cases can be completed in as little as 15 minutes using agentless or agent-based deployment. For AI Agent Optimization, implementation typically takes two to three weeks. Databricks environments can be set up in under 15 minutes. Note: Complex environments may require additional configuration time.
What support is available during onboarding and ongoing use?
Sedai provides personalized onboarding sessions, extensive documentation, and access to a community Slack channel for real-time assistance. Customers have noted the ease of onboarding and minimal management burden due to Sedai's autonomous operation. Note: For advanced troubleshooting, direct support from Sedai may be required.
Use Cases & Customer Success
What types of organizations and roles benefit most from Sedai?
Sedai is designed for IT/Cloud Ops, FinOps, Technology Leadership (CTO, CIO, VP Engineering), Site Reliability Engineering (SRE), and Platform Engineering roles. It is used by organizations focused on cloud cost efficiency, performance, compliance, and operational productivity. Notable customers include Palo Alto Networks, KnowBe4, Belcorp, Campspot, Inflection, and Freshworks. Note: Teams seeking only manual, non-autonomous solutions may want to consider alternatives.
Can you share examples of measurable results from Sedai customers?
KnowBe4 achieved up to 50% cost savings and reduced average 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%, and Campspot achieved a 34% reduction in AWS Lambda latency. For more, see Sedai's resources page. Note: Results are specific to each customer environment.
What industries are represented in Sedai's case studies?
Industries 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). See Sedai's resources page for details. Note: Not all industries may be represented; check resources for updates.
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 the Sedai Security page. Note: For additional certifications, contact Sedai directly.
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