CAST AI
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.
- Company typePrivate
- Founded2019
- HeadquartersMiami, United States
- Headcount251–500
- GTM typeB2B
- OfferingSoftware
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.
CAST AI firmographics
Firmographics- 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
CAST AI industry classification
Industry- 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
Where CAST AI is headquartered
LocationHeadquarters
- HQ city
- Miami
- HQ country
- United States
- HQ region
- North America
Offices7 records
Markets served
CAST AI business model
Business model- GTM type
- B2B
- Offering type
- Software
- Cost components
- Technology or R&D, Personnel, Marketing or Sales, Infrastructure, Operations
Revenue model
- 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.
- 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.
- 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
| Model | Billing | Price |
|---|---|---|
| Subscription | Annual | Growth Plan - Standard SLA with 99.9% availability |
| Subscription | Annual | Enterprise Plan - Premium SLA with 99.95% availability |
| Freemium | Monthly | Free Trial Available |
Go-to-market motion3 records
Distribution channels4 records
Marketing channels7 records
CAST AI product offering
Product offeringCore 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
Companies that use CAST AI
Customer profileNamed customers12 records
Segments4 records
Ideal customer profiles1 record
CAST AI technology and API
TechnologyTechnology focussed Yes
API detail
- Has API
- Yes
- API docs
- API detail
Core technology
AI maturity
App detail
Integration22 records
AI capability9 records
Feature8 records
CAST AI partnerships and signals
Strategic signalPartnerships
Seven partnerships are on record, tiered regional, minor, flagship and core.
- Cloud NetworksregionalCloud 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)minorCAST 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 InfrastructureflagshipOracle 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)coreDeep 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 AzurecoreDeep integration with Azure AKS for Kubernetes optimization, cost monitoring, and automated resource management across Azure cloud environments.
- Google Cloud (GCP)coreDeep integration with Google Kubernetes Engine (GKE) for cost optimization and workload automation. CAST AI's services are hosted on Google Cloud Platform.
- Karpenter (AWS)coreCAST 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
CAST AI competitors and assessment
Company assessmentDirect 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
CAST AI social profiles
Digital presenceCAST AI compliance and trust
Trust signalCompliance6 records
CAST AI financial estimates
Financial estimateRevenue estimate
Valuation estimate
CAST AI leadership team
Management profileNumber of profiles
Profiles1 record
CAST AI subsidiaries and ownership
Company hierarchySubsidiaries1 record
CAST AI funding detail
Funding detailFunding overview
Funding rounds7 records
Investors15 records
Funding detail is available on the Subscription and Enterprise plan.Contact sales →
CAST AI M&A and investment
M&A and investmentM&A
Investments
M&A and investment is available on the Subscription and Enterprise plan.Contact sales →
Frequently asked questions about CAST AI
What does CAST AI do?
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.
Is CAST AI a public or private company?
CAST AI is a private company. It is classified as venture growth investor backed and is currently operating.
When was CAST AI founded?
CAST AI was founded in 2019. It employs 251 to 500 people.
Where is CAST AI based?
CAST AI is headquartered in Miami, United States, in the North America region.
How does CAST AI make money?
Three revenue lines are on record. SaaS Subscription (APA Platform) is the primary driver. The others are cloud Cost Savings Share and OMNI Compute GPU Marketplace.
Who are CAST AI's main competitors?
Direct peers on record are Spot by NetApp, Kubecost, CloudHealth by VMware (Aria Cost), Densify and Morpheus. Broad incumbents are Apptio (IBM), AWS Compute Optimizer, Google Cloud Active Assist and Microsoft Azure Advisor. Harness is listed as an emerging player.
Does CAST AI have an API?
Yes. CAST AI exposes a public API. Developer documentation is at docs.cast.ai.
What industry is CAST AI in?
CAST AI's product category is Cloud Infrastructure Management. Its primary akta.pro industry code is HDABABAC, Kubernetes & Container Platform Management (Private Cloud), with a secondary code of HDABADAF, Container Platforms & Orchestration (Kubernetes). Its NAICS code is 513210 and its SIC code is 7372.