Sold by: Sedai Inc.
Deployed on AWS
Sedai is an autonomous cloud optimization platform that uses AI to reduce compute costs by 30%+ and boost application performance by 30%+ without manual intervention.
4.5
Overview
Sedai Autonomous Cloud Management Platform
Sedai is an AI/ML-powered autonomous cloud optimization platform that delivers continuous optimization for modern cloud operations. Built on patented agentic AI technology, Sedai shifts your organization from static rules and manual threshold-based management to machine learning-driven autonomous operations -- maximizing performance, availability, and cost savings across your entire cloud estate.
Sedai acts as an automated cloud engineer working 24/7 to right-size resources and remediate issues, allowing your SRE and DevOps teams to focus on innovation rather than infrastructure maintenance. The platform has executed more than 25 million autonomous actions in production with zero incidents, demonstrating the safety and reliability of its approach.
Core Capabilities
Autonomous Optimization Eliminate overprovisioning by automatically adjusting compute resources (vCPU and memory) at the workload and cluster level. Sedai intelligently selects instance types and scales resources based on real-time application latency and traffic patterns -- acting like an experienced SRE who incrementally adjusts configurations until the exact point where performance or availability would be impacted.
Autonomous Remediation Predict and detect performance issues such as Out of Memory errors or CPU throttling in real time. The platform takes proactive corrective actions to meet your availability SLAs and SLOs without human intervention, reducing mean time to resolution and preventing customer-facing incidents.
Release Intelligence Validate every new deployment with automated performance scoring. Sedai analyzes deviations in latency and error rates immediately after code changes, giving your teams confidence that releases meet quality standards before they impact users.
Smart SLOs Automatically define and manage Service Level Objectives across your services. Sedai manages error budgets autonomously, scaling up resources or adjusting configurations to prevent SLO breaches and downtime before they occur.
Cost Observability and FinOps Insights Gain granular, real-time visibility into cloud spend across your entire environment. Map costs to specific teams, projects, regions, and services. Identify usage trends for cloud-native and Kubernetes resources with proactive anomaly detection and unit cost analysis (e.g., cost per customer or feature) to bridge the gap between engineering activity and financial impact.
Supported Environments
Sedai supports multi-cloud environments and optimizes across a range of resource types including Kubernetes clusters, virtual machines, and AI token-based workloads. The platform integrates with your existing observability tools such as Amazon CloudWatch and Prometheus through an agentless setup, requiring no additional agents or sidecars in your environment.
How Sedai Works
Unlike conventional automation that follows fixed rules and scripts, Sedai uses deep reinforcement learning to predict the impact of potential optimizations before executing them. The platform continuously learns from your production environment's behavior patterns and adapts to new releases, ensuring that every autonomous action is safe and effective.
Why Teams Choose Sedai
- Reduce cloud compute costs through intelligent, continuous right-sizing across workloads and clusters
- Improve application performance and availability with proactive detection and remediation of resource-related issues
- Accelerate release confidence with automated deployment scoring and deviation analysis
- Eliminate manual toil so SRE and DevOps teams can focus on strategic engineering work
- Gain financial accountability with cost allocation mapped to teams, services, and business metrics
Getting Started
Sedai's agentless architecture connects to your cloud environment and begins learning your workload patterns immediately. To explore how Sedai can optimize your specific environment, visit sedai.io to speak with our cloud optimization experts and schedule a personalized walkthrough of the platform.
Highlights
- Reduce Cloud Costs by Up to 50%: Sedai continuously right-sizes compute resources using deep reinforcement learning to predict the impact of optimizations before executing them. The platform has completed more than 25 million autonomous actions in production with zero incidents, delivering up to 50% reduction in compute spend while maintaining performance and availability.
- Boost Application Performance by Up to 35-75%: Sedai provides application-aware resource allocation that adapts to behavior patterns and new releases in real time. Unlike rule-based tools, Sedai incrementally adjusts resource configurations to find the optimal point where performance is maximized without impacting availability.
- Zero-Touch Setup and 33% Less Operational Toil: Sedai offers rapid, agentless deployment that integrates with existing observability tools like CloudWatch and Prometheus with no manual configuration required. By automating optimization decisions, Sedai reduces operational workloads by 33% and improves SRE productivity by up to 6x, freeing teams to focus on higher-value engineering work.
Details
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Delivery method
Deployed on AWS
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Financing for AWS Marketplace purchases
AWS Marketplace now accepts line of credit payments through the PNC Vendor Finance program. This program is available to select AWS customers in the US, excluding NV, NC, ND, TN, & VT.
Pricing
Pricing is based on the duration and terms of your contract with the vendor, and additional usage. You pay upfront or in installments according to your contract terms with the vendor. This entitles you to a specified quantity of use for the contract duration. Usage-based pricing is in effect for overages or additional usage not covered in the contract. These charges are applied on top of the contract price. If you choose not to renew or replace your contract before the contract end date, access to your entitlements will expire.
Additional AWS infrastructure costs may apply. Use the AWS Pricing Calculator to estimate your infrastructure costs.
Dimension | Description | Cost/12 months | Overage cost |
|---|---|---|---|
POC Trial Offer (30-Day Evaluation) | Full-feature access for a 30-day Proof of Concept period. This one-time $1 activation fee allows for environment setup and technical validation. At the end of the POC, please contact sales to transition to a production contract. | $1.00 | |
Legacy-Tier-Do-Not-Select | This tier is currently unavailable. | $1,000,000.00 | |
Legacy-Tier-Do-Not-Select | This tier is currently unavailable. | $1,000,000.00 | |
Legacy-Tier-Do-Not-Select | This tier is currently unavailable. | $1,000,000.00 |
Dimensions summary
This listing offers one selectable option: a POC Trial Offer for a 30-day evaluation. You pay a one-time activation fee to set up and validate the platform in your environment. This gives you full-feature access during the trial period. At the end of the 30 days, you contact sales to move to a production contract. The remaining tiers are legacy entries marked unavailable, so they are not selectable. Pricing scales by the unit shown in the table, but the trial is a single fixed-fee entry point rather than a usage-based charge.
Top-of-mind questions for buyers
The fee activates a 30-day evaluation with full-feature access. It lets you set up your environment and run technical validation. Onboarding is guided by the Sedai team and typically takes about 30 minutes. No production changes happen unless you enable them. After 30 days, you contact sales for a production contract.
You connect cloud accounts through Identity and Access Management, without installing an agent for most resources. You choose read-only or read-write access. Read-only limits the platform to analysis and flagging. Read-write lets it request permission before making changes. By default, integrations run in a mode that makes no changes.
The activation fee is one-time and covers only the 30-day period. It is not a recurring or usage-based charge. When the trial ends, no automatic conversion occurs. You contact sales to move to a production contract. Until then, no further charges apply through this trial option.
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Delivery details
Software as a Service (SaaS)
SaaS delivers cloud-based software applications directly to customers over the internet. You can access these applications through a subscription model. You will pay recurring monthly usage fees through your AWS bill, while AWS handles deployment and infrastructure management, ensuring scalability, reliability, and seamless integration with other AWS services.
Resources
Support
Vendor support
Your Sedai subscription includes 24/7 email support. For any questions or issues - including platform usage, troubleshooting, configuration guidance, or refund requests - please contact the Sedai support team at help@sedai.io .
Sedai's support team can assist with onboarding, integration with your existing observability tools, and ongoing optimization questions. To schedule a guided product demo or discuss your specific cloud environment, visit https://www.sedai.io/schedule-demo .
For self-service guidance, Sedai provides documentation to help you get started and configure the platform at
AWS infrastructure support
AWS Support is a one-on-one, fast-response support channel that is staffed 24x7x365 with experienced and technical support engineers. The service helps customers of all sizes and technical abilities to successfully utilize the products and features provided by Amazon Web Services.
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AI generated from product descriptions
Deep Reinforcement Learning Engine
Uses deep reinforcement learning to predict the impact of potential optimizations before executing them, continuously learning from production environment behavior patterns and adapting to new releases.
Autonomous Resource Right-Sizing
Automatically adjusts compute resources including vCPU, memory, and instance types at workload and cluster level based on real-time application latency and traffic patterns.
Proactive Performance Issue Detection and Remediation
Predicts and detects performance issues such as Out of Memory errors and CPU throttling in real time, taking corrective actions to meet availability SLAs and SLOs without human intervention.
Agentless Multi-Cloud Integration
Integrates with existing observability tools such as Amazon CloudWatch and Prometheus through agentless setup with no additional agents or sidecars required, supporting Kubernetes clusters, virtual machines, and AI token-based workloads.
Automated Deployment Performance Scoring
Validates every new deployment with automated performance scoring by analyzing deviations in latency and error rates immediately after code changes.
Automated Resource Optimization
Automatic deployment of optimal blend of spot instances, reserved instances, and on-demand compute for autoscaling applications without manual tuning
Container and Kubernetes Infrastructure Management
Serverless infrastructure for Kubernetes, EKS, and ECS with automatic scaling, bin-packing, and right-sizing of pods
Reserved Instance and Savings Plan Optimization
Lifecycle management of reserved instances and savings plans using machine learning and automation to maximize portfolio value and minimize on-demand costs
Cloud Cost Analytics and Visibility
Granular cost analytics with integration capabilities for financial accountability and cost optimization tracking across AWS resources
AI-Driven Cost Optimization
Hyper-automation of FinOps best practices using AI-based algorithms for multicloud cost optimization
Infrastructure Visualization
Comprehensive cloud infrastructure visualization through Dashboard, CloudList, CloudMap, and CloudNet components
Instance Rightsizing
Automatic resizing and fitting of compute instances to optimize resource allocation and reduce costs
Spot Instance Management
Conversion of instances to spot instances or hybrid spot/unspot configurations for mission-critical machines
Security and Vulnerability Detection
Security insights and vulnerability recognition through CloudGuard with DevSecOps smart insights
Standard contract
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No
Customer reviews
dianelys H.
Save more with Sedai
Reviewed on Jul 10, 2024
Review provided by G2
What do you like best about the product?
I like how Sedai has continuous cloud cost and can help maximize ROI
What do you dislike about the product?
Sedai can be difficult to navigate through at first.
What problems is the product solving and how is that benefiting you?
Sedai is helping manage cloud cost efficiently and securely
Vaibhav D.
One of the innovative AI tool for cloud projects
Reviewed on Aug 25, 2023
Review provided by G2
What do you like best about the product?
Easily can optimize the Cloud environment with availability and manages the load automatically for AWS ECS. Helped us to save on our billings.
What do you dislike about the product?
Not easy to set up on production environment. Initial help requires to deploy.
What problems is the product solving and how is that benefiting you?
Automation in cloud infrastructure management for our various products. No human intervention required after implementation.
Mindy J.
Easily integrates various monitoring tools available in the environment!
Reviewed on Aug 18, 2023
Review provided by G2
What do you like best about the product?
The app is generally easy to use. it can also be easily incorporated with our external software to secure data and incident notifications.
What do you dislike about the product?
My experience so far has been good, there really isn't anything that I dislike in all this time that I've used it.
What problems is the product solving and how is that benefiting you?
It has really minimized our repair and duration costs, which makes us more productive and agile in our day-to-day work. In addition, with its modern user interface, it facilitates continuous monitoring and analysis.
Arts and Crafts
Cloud management
Reviewed on Dec 23, 2021
Review provided by G2
What do you like best about the product?
It's the first autonomous cloud platform to overcome cloud environmental challenges. It is also configuration-free and optimizes in the best way.
What do you dislike about the product?
The product is still new to the market. It needs to be much more widely usable to capture the market.
What problems is the product solving and how is that benefiting you?
Effectively optimize the product.