Sedai Alternatives and Sedai Competitors for Autonomous Cloud Optimization

Best for: Organizations where Kubernetes, serverless and VMs all leak money and the team wants one autonomous platform for all of them

For reference, here is what you would be replacing. Sedai learns how each application behaves and changes resources in gradual steps with safety checks, across EKS, AKS, GKE, ECS, Fargate, Lambda, VMs, storage and data platforms on AWS, Azure, Google Cloud and on-premises Kubernetes such as OpenShift, Rancher and VMware Tanzu. The company says it holds eight U.S. patents on autonomous action and names Palo Alto Networks, GSK, HP and KnowBe4 as customers; its Marketplace listing claims up to 50 percent lower compute spend. Those are vendor figures. On price, its pricing page is a quote form, the unit is 1 SBU per managed vCPU, and the only public number is a $1 activation fee for a 30-day proof of concept. The Marketplace listing also shows three rows marked Legacy-Tier-Do-Not-Select at $1,000,000, which are placeholders, not prices.

Best for: Enterprises that want automated resourcing across VMs, Kubernetes and public cloud from one engine, as Sedai does

Turbonomic is the closest like-for-like if what you value in Sedai is breadth. It generates and can execute resize, placement and scaling actions for virtual machines, containers and cloud services, on-premises and in AWS, Azure and Google Cloud, with the same choice between approval and automation. IBM quotes on its own site, but the AWS Marketplace SaaS listing prices a 12-month contract at $37,909.82 for 200 managed virtual servers, with no discount for 24 or 36 months, and the on-premises listing at $50,760. IBM offers a 30-day trial. The catch is the unit: IBM does not define on its pricing page how Kubernetes nodes or managed databases count toward managed virtual servers, so get that ratio in writing.

Best for: Kubernetes teams that want node autoscaling, Spot automation and bin packing done for them

CAST AI works at the cluster layer, which is where Sedai's Kubernetes savings partly come from too: it replaces the cluster autoscaler, chooses instance types, runs Spot with fallback to on-demand, bin packs and migrates containers live. It supports EKS, GKE, AKS and Oracle Cloud. Its website quotes, but its AWS Marketplace listing prices Growth at $1,000 a month for up to 500 CPUs, GrowthPro at $1,000 a month for up to 2,000 CPUs, Enterprise at $5,000, and an hourly charge equal to $5 per CPU a month. At 1,000 CPUs on GrowthPro that is about $72,000 a year. Monitoring alone is free. It does nothing for Lambda, ECS or VMs.

Best for: Platform teams that want pod rightsizing applied in place, without changing node management

StormForge, now part of CloudBolt, does one thing Sedai also does: it learns workload usage and sets CPU and memory requests and limits, including in-place resizing without restarts. Its AWS Marketplace contract is $2,700 a month or $32,400 a year per 1,000 vCPUs, and the pay as you go listing charges $0.0041 per requested vCPU-hour, about $35,900 a year at 1,000 vCPUs running all month. It offers full optimization on one cluster for 30 days as a trial. It stays at the workload layer, so it pairs with Karpenter or the cluster autoscaler rather than replacing them, and CloudBolt lists GPU support as on the roadmap.

Best for: Kubernetes teams that want the lowest published per vCPU rate and a free tier to start

PerfectScale is the cheapest published Kubernetes option in this list. Its AWS Marketplace listing gives a free Community tier for up to 300,000 vCPU-hours a month, which is about 411 vCPUs running all month, then Advanced at the equivalent of $2.00 per monthly vCPU and Expert at $4.00. Automation, the public API and SSO are Expert features, so the like-for-like comparison with Sedai Autopilot is the $4.00 tier: $48,000 a year at 1,000 vCPUs. There is a 5 percent grace buffer above licensed vCPUs and no refunds. It covers Kubernetes only.

Best for: Kubernetes estates that need automated pod and GPU rightsizing, including self-hosted or air-gapped installs

ScaleOps automates pod rightsizing, replica settings and node consolidation, and it is one of the few vendors here that sells self-hosted and air-gapped deployments, which matters if Sedai's SaaS model is the blocker. Its AWS Marketplace listing prices a ScaleOps Platform Fee of $4,167 a month or $50,000 a year, plus a metered fee of $9.00 per vCPU, but the listing does not say whether the $9 is per month or per year. That difference decides whether 1,000 vCPUs cost about $59,000 or $158,000 a year, so ask before you compare. Published customer results include Outbrain at 40 percent or more.

Best for: Enterprises that want waste found across cloud, Snowflake and Databricks and fixed with approval, rather than live tuning

PointFive is the competitor buyers most often put beside Sedai when they want an agent to fix waste. The difference is where the work happens. Sedai tunes running workloads continuously; PointFive detects waste across the estate, with more than 500 detections by its own count, and turns it into fixes routed through Jira, Slack and ServiceNow or applied with write permissions you grant. Its AWS Marketplace contract is $70,500 a year up to $3 million of annual cloud spend and $140,000 up to $7 million, with no refunds. Our PointFive pricing breakdown has the band math.

Best for: Container fleets on EKS, ECS, AKS and GKE that run heavily on Spot capacity

Ocean manages container infrastructure for you: it picks and scales nodes, bin packs, keeps headroom, rightsizes and fills capacity from Spot first, then reserved capacity and Savings Plans, before on-demand. It covers ECS as well as EKS, AKS and GKE, which CAST AI does not. Spot.io now redirects to Flexera, which completed the acquisition from NetApp in March 2025 and announced the ProsperOps acquisition in January 2026. No price is published.

Best for: Every AWS team, as the free baseline any Sedai quote has to beat

Before you pay anyone to tune Lambda memory or EC2 sizes, turn this on. Compute Optimizer recommends sizes for EC2 instances, Auto Scaling groups, EBS volumes, Lambda functions, ECS services on Fargate and RDS from your own utilization, and Cost Optimization Hub collects those and other savings in one list. It changes nothing on its own. The useful test for a Sedai proof of concept is how much it saves beyond what these free recommendations already show.

Best for: Teams that want waste and its owner shown read-only across cloud and SaaS, at a published price

We are the read-only option. CostAnalyst reads AWS, Azure and Google Cloud billing exports plus SaaS spend, shows idle and oversized resources, untagged spend and commitment gaps, ranks them in dollars and attaches each one to the team that owns it. Nothing in your environment changes, which is why security reviews are short. Plans start at $59 a month billed yearly and are on the pricing page. If you later buy Sedai or a Kubernetes specialist, our numbers give you an independent check on the savings it claims.