CAST AI

What CAST AI does

CAST AI, founded in 2019 and headquartered in Miami with its primary engineering center in Vilnius, Lithuania, operates an Application Performance Automation (APA) platform that automates Kubernetes workload optimization across AWS, Azure, GCP, and Oracle Cloud environments. The platform is built around a proprietary predictive model called the Cast Engine, trained on data from thousands of Kubernetes clusters and millions of real-world workloads, which predicts spot instance interruptions up to 30 minutes in advance and performs millicore-level rightsizing to reduce cloud overprovisioning. The product portfolio spans core cost and workload optimization (AutoScaler, Workload Rightsizing, Karpenter Optimization), the OMNI Compute GPU marketplace launched in January 2026, AI-driven SRE tooling through OpsPilot, and security via Kubernetes Security Posture Management (KSPM). The company also offers Kimchi, an autonomous coding agent that routes AI assistant workloads to open-source models hosted on private clusters.

CAST AI generates revenue primarily through annual SaaS subscriptions across Growth (99.9% SLA) and Enterprise (99.95% SLA) tiers, supplemented by usage-based economics tied to cloud cost savings delivered to customers. The platform serves over 2,100 customers globally, including Fortune 500 enterprises such as BMW, Cisco, Akamai, FICO, HuggingFace, Swisscom, NielsenIQ, WeWork, and Roku, alongside AI/ML startups and digital-native companies. Distribution combines a product-led growth motion with self-serve onboarding and free trials, enterprise field sales for large accounts, channel partnerships (Cloud Networks in South Korea), and listings on AWS, Azure, and GCP marketplaces. The company has raised over $200 million across multiple funding rounds, with backers including G2 Venture Partners, SoftBank Vision Fund 2, Pacific Alliance Ventures (Shinsegae Group), Creandum, Hedosophia, and Cota Capital, reaching unicorn status at a $1B+ valuation in January 2026.

Name

CAST AI

Legal name

CAST AI Group, Inc.

Website

https://cast.ai

Company type

Private

Founded year

2019

Operating status

Operating

Headcount range

251–500 employees

Short description

CAST AI is a Kubernetes automation platform founded in 2019 that uses a proprietary predictive model (Cast Engine) to automatically optimize cloud infrastructure, reducing AWS, Azure, GCP, and Oracle customers' compute costs by 50-60%. It serves 2,100+ enterprise and AI/ML customers globally.

Ownership category

akta.pro rank

Product category

Cloud Infrastructure Management

NAICS

Software Publishers (513210), Computing Infrastructure Providers, Data Processing, Web Hosting, and Related Services (51821), Computer Systems Design and Related Services (54151)

SIC

Services-Prepackaged Software (7372), Services-Computer Integrated Systems Design (7373)

akta.pro primary industry

Kubernetes & Container Platform Management (Private Cloud) (HDABABAC)

akta.pro secondary industries

Container Platforms & Orchestration (Kubernetes) (HDABADAF), AI Compute Cloud & GPU-as-a-Service (HDAAAAAK), AI Application Enablement Platforms (Copilot/Agent Frameworks, SDKs) (HDAEANAJ), AI Observability, Monitoring & Evaluation Platforms (Drift, Quality, Safety) (HDAEANAF)

Keywords

• Kubernetes automation
• Cloud cost optimization
• Application performance automation
• GPU optimization platform
• Multi-cloud management

Headquarters

HQ city

Miami

HQ country

United States

HQ region

North America

Offices7 records

Markets served

GTM type

B2B

Offering type

Software

Cost components

Technology or R&D, Personnel, Marketing or Sales, Infrastructure, Operations

Revenue model

1. SaaS Subscription (APA Platform): CAST AI generates revenue primarily through subscription-based SaaS pricing for its Application Performance Automation platform. The platform is offered in Growth and Enterprise tiers with different service level agreements (99.9% vs 99.95% availability). Customers pay for automated Kubernetes optimization, cost monitoring, GPU optimization, and related features based on their selected plan tier.
2. Cloud Cost Savings Share: CAST AI's value proposition centers on delivering 50-60% cloud cost savings, with the platform optimizing cloud spend across AWS, Azure, and GCP. The company benefits from the cost savings it generates for customers, creating a value-aligned revenue dynamic.
3. OMNI Compute GPU Marketplace: New unified compute marketplace enabling enterprises to access and provision GPUs across any cloud or region. Oracle Cloud Infrastructure is integrated as a launch partner, with potential for transaction-based revenue from GPU provisioning.

Pricing tiers

Go-to-market motion3 records

Distribution channels4 records

Marketing channels7 records

Core offering

CAST AI sells a Kubernetes automation platform that continuously analyzes cloud workloads and automatically reduces compute spend through autoscaling, bin-packing, spot-instance orchestration, and predictive rightsizing. The platform also provides GPU optimization for AI/ML training and inference, database optimization, security posture management, and an AI operations agent, targeting engineering and platform teams running Kubernetes on AWS, Azure, GCP, Oracle Cloud, and bare-metal environments.

Product overview

CAST AI offers an Application Performance Automation (APA) platform that unifies Kubernetes workload, infrastructure, cost, and SLO signals into automated actions. The core platform includes AutoScaler for infrastructure provisioning and node scaling, Kubernetes Cost Optimization for multi-cloud management across AWS, Azure, GCP, and Oracle, and Kubernetes Workload Optimization for automated rightsizing. Additional modules include GPU Optimization via OMNI Compute for multi-cloud GPU management and marketplace access, LLM Optimization for AI inference workloads, Database Optimization for PostgreSQL and MySQL, and Karpenter Optimization for enterprises. The product portfolio is complemented by OpsPilot (AI SRE agent for incident investigation) and Kimchi (CLI tool for AI coding with open-source models). Security is addressed through KSPM for runtime threat detection. The platform connects to Kubernetes clusters in minutes with zero changes required, serving over 2,100 companies globally.

Differentiator

Problem solved

Functional benefit

Brands

• APA (Application Performance Automation): The company's core platform enabling automated Kubernetes workload optimization, GPU management, and cloud cost reduction.
• OMNI Compute
• OpsPilot
• Kimchi
• AutoScaler
• Karpenter Optimization

Products and services

• CAST AI Application Performance Automation (APA) Platform Cloud-native SaaS platform that automates Kubernetes workload optimization, autoscaling, and cost reduction for platform engineering and FinOps teams.
• OMNI Compute (GPU Optimization) GPU optimization module for AI/ML training and inference workloads running on Kubernetes, designed to reduce GPU compute costs and address GPU scarcity.

Quantifiable outcome

• 50-60% cloud cost reduction
• +5 more outcomes

Named customers12 records

Segments4 records

Ideal customer profiles1 record

Technology focussed Yes

API detail

Has API

Yes

API docs

API detail

Core technology

AI maturity

App detail

Integration22 records

AI capability9 records

Feature8 records

Partnerships

Seven partnerships are on record, tiered regional, minor, flagship and core.

• Cloud NetworksregionalChannel Partner/ Reseller/ Distributor · 14 April 2026Cloud Networks signed partnership to distribute CAST AI's cloud cost and resource optimization platform in South Korea, including OMNI Compute feature for multi-cloud GPU management across AWS, Azure, and Google Cloud.
• AWS, KodeKloud, CognitivTrust, Nudgebee (CLOUDxAI 2026 Sponsors)minorGTM or Marketing Partner · 14 April 2026CAST AI organized CLOUDxAI 2026 conference in India with corporate sponsors including AWS, KodeKloud, CognitivTrust, and Nudgebee. AWS participated as a sponsor of the inaugural conference.
• Oracle Cloud InfrastructureflagshipTechnology or Integration · 14 January 2026Oracle became the first major cloud provider to make excess GPU capacity available to CAST AI customers through the OMNI Compute platform. This enables CAST AI customers to access Oracle's high-performance GPU fleet across Oracle Cloud regions worldwide.
• AWS (Amazon Web Services)coreTechnology or IntegrationDeep integration with AWS EKS and cloud services. CAST AI provides automated Kubernetes optimization for AWS workloads with spot instance management, rightsizing, and multi-instance type optimization.
• Microsoft AzurecoreTechnology or IntegrationDeep integration with Azure AKS for Kubernetes optimization, cost monitoring, and automated resource management across Azure cloud environments.
• Google Cloud (GCP)coreTechnology or IntegrationDeep integration with Google Kubernetes Engine (GKE) for cost optimization and workload automation. CAST AI's services are hosted on Google Cloud Platform.
• Karpenter (AWS)coreTechnology or IntegrationCAST AI extends Karpenter with workload-aware decisions for automated node provisioning. Offers Karpenter Enterprise Suite for advanced Kubernetes cluster management.

Scale indicators10 records

Recent moves8 records

Expansion highlights6 records

Direct peers

• Spot by NetApp: Spot (acquired by NetApp in 2023) is the most direct historical competitor to CAST AI in Kubernetes and cloud cost/spot optimization. Both target the same enterprise pain point — automated savings across spot, reserved and on-demand compute — making it the closest comparable in product scope and customer profile.
• Kubecost: Kubecost provides Kubernetes-specific cost monitoring and optimization, directly overlapping CAST AI's core cost-monitoring and rightsizing modules. It is the leading open-source-rooted alternative for K8s cost visibility and a frequent head-to-head competitor in mid-market deals.
• CloudHealth by VMware (Aria Cost): CloudHealth is one of the most established cloud cost management platforms, now part of VMware Aria. Like CAST AI it helps enterprises allocate, monitor and optimize multi-cloud spend, but with a broader (and less Kubernetes-native) FinOps orientation.
• Densify: Densify provides predictive cloud and container resource optimization, overlapping with CAST AI's rightsizing and bin-packing capabilities. Both sell automated optimization recommendations into enterprise platform engineering teams.
• Morpheus: Morpheus offers multi-cloud and hybrid cloud management with self-service provisioning and cost optimization, addressing similar buyer needs to CAST AI's APA platform. It is more focused on hybrid/private deployments, whereas CAST AI skews public cloud.

Broad incumbents

• Apptio (IBM): Apptio, owned by IBM, is a broad FinOps and technology business management platform that competes with CAST AI in cloud cost visibility and optimization. It serves a similar enterprise buyer but is portfolio-oriented rather than Kubernetes-specialized.
• AWS Compute Optimizer: AWS Compute Optimizer is the hyperscaler's native rightsizing and cost optimization service and a baseline 'good enough' alternative inside the AWS ecosystem. It competes with CAST AI on AWS workloads specifically and is bundled free with the customer's AWS relationship.
• Google Cloud Active Assist: Active Assist is Google Cloud's native recommender suite for rightsizing and cost optimization. It is the GCP-incumbent alternative to CAST AI's optimization for GKE customers and is the closest built-in competitor on that cloud.
• Microsoft Azure Advisor: Azure Advisor is Microsoft's free, native cost and performance recommendation engine for Azure workloads including AKS. It is the comparable hyperscaler incumbent to CAST AI on Azure and sets the baseline of 'free' advice that CAST AI must demonstrably beat.

Emerging players

• Harness: Harness is a modern DevOps platform with an expanding Cloud Cost Management module that competes with CAST AI for engineering budget on cost optimization. It is broader than CAST AI (CI/CD, security, feature flags) and bundles cost optimization as part of that wider platform.

Market position

Strengths5 records

Weaknesses5 records

Competitive moat5 records

Key risks5 records

Key highlights7 records

Customer concentration

• Xx.com/cast_ai
• GitHubgithub.com/castai
• Facebookfacebook.com/cast.ai.platform
• LinkedInlinkedin.com/company/cast-ai

Compliance6 records

Revenue estimate

Valuation estimate

Number of profiles

Profiles1 record

Subsidiaries1 record

Funding overview

Funding rounds7 records

Investors15 records

Funding detail is available on the Subscription and Enterprise plan.Contact sales →

M&A

Investments

M&A and investment is available on the Subscription and Enterprise plan.Contact sales →

Frequently asked questions about CAST AI