Cast AI

Increase your profit margin without additional work. CAST AI cuts your cloud bill in half, automates DevOps tasks, and prevents downtime in one Autonomous Kubernetes platform.

Agent Infrastructure

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Founded

2019

Location

Miami, FL

Employees

334

Funding

$108M Series C (2025)

Cast AI: Kubernetes Automation for Cost, Performance, and Reliability

Cast AI is a Kubernetes automation platform that optimizes cost, performance, and resilience across AWS, Google Cloud, and Azure. Founded in 2019 by Yuri Frayman, Leon Kuperman, and Laurent Gil, the company is headquartered in Miami. Cast AI positions itself as Application Performance Automation for Kubernetes—replacing static recommendations with automated actions that rightsize resources, autoscale workloads, and intelligently use Spot capacity with guardrails. Sources: [Cast AI](https://cast.ai/), [Docs](https://docs.cast.ai/docs/getting-started), [LinkedIn](https://www.linkedin.com/company/cast-ai), [AWS Marketplace](https://aws.amazon.com/marketplace/pp/prodview-vtvxyzbzs3huy).

Quick Facts

Name: Cast AI

Founded: 2019

HQ: Miami, Florida

Founders: Yuri Frayman, Leon Kuperman, Laurent Gil

Employees: ~334

Funding: $108M Series C reported 2024–2025; $35M Series B in Nov 2023

What Cast AI Does

Connects to EKS, GKE, and AKS to analyze real-time demand and take actions that:

**Rightsize CPU/memory** continuously and at deploy time

**Autoscale** horizontally and vertically

**Automate Spot** VM usage with safety constraints and fast rebalancing

**Bin-pack and rebalance** workloads to reduce waste

**Provision nodes** automatically to match workload needs

Includes security, governance, and policy controls alongside cost and performance features.

Supports hybrid and on‑prem Kubernetes with **Cast AI Anywhere**. Sources: [Product overview](https://cast.ai/kubernetes-cost-optimization/), [Docs](https://docs.cast.ai/docs/getting-started), [Cast AI Anywhere](https://docs.cast.ai/docs/cast-ai-anywhere-overview).

How It Works

The platform integrates with managed Kubernetes (EKS/GKE/AKS) and observes cluster metrics.

The **Workload Autoscaler** analyzes usage up to every 30 seconds to adjust resources and placements, executing via Kubernetes primitives and cloud APIs.

A policy engine governs cost, performance, security, and Spot usage; rebalancing maintains capacity during interruptions. Sources: [Autoscaler docs](https://docs.cast.ai/docs/rightsizing-recommendations-and-woop), [Feature details](https://cast.ai/kubernetes-cost-optimization/).

Who It’s For

DevOps, Platform Engineering, and SRE teams running Kubernetes on AWS, GCP, or Azure

FinOps leaders needing automated savings with transparent reporting

Teams with spiky or volatile workloads (e.g., event-driven, batch, CI/CD)

Organizations targeting GPU/CPU efficiency for AI, ML, and data workloads

Common Use Cases

Automated rightsizing at deploy and runtime

Horizontal and vertical autoscaling

Safe Spot automation with rebalancing (see [Iterable](https://cast.ai/case-studies/iterable/) and [Yotpo](https://cast.ai/case-studies/yotpo/))

Bin packing and just‑in‑time node provisioning

Multi‑cloud portability and policy‑driven placement

Hybrid/on‑prem optimization with **Cast AI Anywhere**

Platform Integrations

Managed Kubernetes: **AWS EKS**, **Google GKE**, **Azure AKS**

Infrastructure as Code: **Terraform** provider and modules

Observability: Prometheus metrics, logs, and alerts; examples with New Relic

Catalog: See all integrations

Agentic Automation

Cast AI functions as an infrastructure agent: it observes workload demand, plans changes, and executes actions across scheduling, scaling, and provisioning.

Key agentic capabilities:

Frequent, live **rightsizing and autoscaling** (sub‑minute)

**Spot VM** automation with guardrails and **rebalancing**

**Policy‑governed** decisions for performance, cost, and security

Optional AI workload routing via the **AI Enabler Proxy**

Result: reduced manual ops, accelerated time to value, and sustained cost/perf optimization. Sources: [Autoscaler docs](https://docs.cast.ai/docs/rightsizing-recommendations-and-woop), [Platform features](https://cast.ai/kubernetes-cost-optimization/).

Proof and Results

Reported savings:

NielsenIQ: 60–80% (non‑prod), 40–50% (prod)

Iterable: 60%+ on EKS

Akamai: 40–70% depending on workload

Yotpo: ~40% with Spot automation

Users highlight quick time to value and action‑oriented automation .

Pricing and Trial

Free: 30‑day full platform access; ongoing free Kubernetes cost monitoring afterward

Indicative paid tiers: Growth from $200/month; Growth Pro from $1,000/month (per [G2 pricing](https://www.g2.com/products/cast-ai/pricing))

Also available via AWS Marketplace with CPU‑based options and trial terms

What Users Like

Strong, automated cost savings and reduced manual ops

Responsive support and high‑quality onboarding

Clean UI; fast value for spiky workloads

Free cost monitoring lowers adoption friction

Broad coverage across EKS/GKE/AKS with safe Spot usage

Considerations and Trade‑offs

Some community threads question resiliency when maximizing low cost; test guardrails and policies for your SLAs

Learning curve for teams new to automation and Spot strategies

Pricing complexity compared to simple CPU‑based models for very large estates

Vendor lock‑in concerns vs. native autoscalers; evaluate portability and exit paths

Competitors and Alternatives

Optimization and autoscaling: [Spot by NetApp](https://spot.io/), [StormForge](https://www.stormforge.io/), [PerfectScale](https://www.perfectscale.io/), [ScaleOps](https://www.scaleops.com/)

Cost visibility and FinOps: [Kubecost](https://www.kubecost.com/), [Vantage](https://www.vantage.sh/), [CloudZero](https://www.cloudzero.com/), [Harness Cloud Cost](https://www.harness.io/products/cloud-cost-management)

Market comparisons: [nOps blog](https://www.nops.io/blog/kubecost-vs-cast-ai-vs-nops/), [CloudZero alternatives](https://www.cloudzero.com/blog/kubecost-alternatives/), [CB Insights](https://www.cbinsights.com/company/cast-ai/alternatives-competitors)

Notable Links

[Homepage](https://cast.ai/)

[Pricing](https://cast.ai/pricing/)

[Docs: Getting Started](https://docs.cast.ai/docs/getting-started)

[Rightsizing and Autoscaling](https://docs.cast.ai/docs/rightsizing-recommendations-and-woop)

[Integrations](https://cast.ai/integrations/)

[Case Studies](https://cast.ai/case-studies/)

[G2 Reviews](https://www.g2.com/products/cast-ai/reviews)

[Capterra Listing](https://www.capterra.com/p/202836/CAST-AI/)

[AWS Marketplace](https://aws.amazon.com/marketplace/pp/prodview-vtvxyzbzs3huy)

[LinkedIn Company Page](https://www.linkedin.com/company/cast-ai)

SEO Summary

Cast AI is a Kubernetes automation platform that delivers continuous rightsizing, autoscaling, Spot automation, and workload rebalancing across EKS, GKE, and AKS to cut cloud costs and improve performance. With hybrid support via Cast AI Anywhere, Terraform integrations, and observability hooks, it acts as an agentic layer that observes, plans, and executes infrastructure changes—backed by customer case studies reporting 40–80% savings. Ideal for DevOps, Platform, SRE, and FinOps teams seeking actionable optimization, rapid ROI, and policy‑driven governance.

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