CloudLayer AI
CloudLayer AI is a cloud-agnostic platform that deploys AI applications inside customers' own AWS, Azure, or Google Cloud environments via Terraform, combining cost optimization, automated security, and HIPAA/GDPR compliance for startups and mid-market enterprises.
- Company typePrivate
- Founded2025
- HeadquartersNew York, United States
- Headcount1–10
- GTM typeB2B
- OfferingSoftware
What CloudLayer AI does
CloudLayer AI is a cloud-agnostic AI deployment and cloud operations platform founded in 2025 and headquartered in New York. The platform enables organizations to deploy prebuilt AI applications (cost optimizers, internal chatbots, AI pipelines, security tools) directly inside their own AWS, Azure, or Google Cloud environments using generated Terraform infrastructure-as-code, with a no-code setup designed to eliminate the need for dedicated DevOps or MLOps teams. Integrated modules include the AI Model Router, Private AI Assistant Builder, Cloud Cost Optimizer, an Automated Cybersecurity and Penetration Testing Suite, CASB, cloud-specific security modules for AWS and Azure, AWS Athena query optimization, and compliance automation for HIPAA and GDPR.
The company's product surface is intentionally horizontal, addressing cost optimization, security, compliance, and AI deployment under a single stack, with quantified customer-facing claims of up to 40% cloud cost reduction and over 80% reduction in cloud security incidents for CASB users. Its disclosed reference customers (Trend.app, AirCeption, and Behamics) are all early-stage startups, while the stated segmentation also targets mid-market and enterprise buyers across finance, healthcare, SaaS, and corporate IT.
The business model is SaaS-style recurring, delivered through a consultative, demo-led direct sales motion with a free 15-minute cloud audit as the funnel entry point and "Get a Demo" / "Get Started" CTAs. Pricing is not publicly disclosed, suggesting quote-based contracts tailored to customer cloud environments and usage. The GTM is supported primarily by content marketing via an 80+ article blog and organic social (LinkedIn, Instagram), with no paid advertising, events, or channel partnerships documented. CloudLayer AI is privately held, has 1-10 employees, and has no disclosed funding rounds, revenue, or institutional investors in the available data.
CloudLayer AI firmographics
Firmographics- Name
- CloudLayer AI
- Legal name
- CloudLayer AI
- Website
- https://cloudlayer.ai
- Company type
- Private
- Founded year
- 2025
- Operating status
- Operating
- Headcount range
- 1–10 employees
- Short description
- CloudLayer AI is a cloud-agnostic platform that deploys AI applications inside customers' own AWS, Azure, or Google Cloud environments via Terraform, combining cost optimization, automated security, and HIPAA/GDPR compliance for startups and mid-market enterprises.
- Ownership category
- akta.pro rank
CloudLayer AI industry classification
Industry- Product category
- Cloud Cost Optimization Software
- NAICS
- Computing Infrastructure Providers, Data Processing, Web Hosting, and Related Services (51821), Computer Systems Design and Related Services (5415)
- SIC
- Services-Prepackaged Software (7372), Services-Computer Integrated Systems Design (7373)
- akta.pro primary industry
- AI Application Enablement Platforms (Copilot/Agent Frameworks, SDKs) (HDAEANAJ)
- akta.pro secondary industries
- End-to-End Enterprise AI Platforms (MLOps & Model Lifecycle Management) (HDAEANAA), AI Observability, Monitoring & Evaluation Platforms (Drift, Quality, Safety) (HDAEANAF), Cloud Landing Zone & Architecture (Network, IAM, Governance) (BPAEACAE)
Keywords
Where CloudLayer AI is headquartered
LocationHeadquarters
- HQ city
- New York
- HQ country
- United States
- HQ region
- North America
Markets served
CloudLayer 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
- CloudLayer AI Platform Subscription: CloudLayer AI operates as a SaaS platform enabling organizations to deploy AI within their own cloud. The platform likely operates on a subscription or usage-based model, with customers paying for access to prebuilt AI apps, deployment tools, cost optimization, and security services. The company offers a free cloud audit as an entry point.
Go-to-market motion1 record
Distribution channels2 records
Marketing channels4 records
CloudLayer AI product offering
Product offeringCore offering
CloudLayer AI is a cloud-agnostic AI deployment and cloud optimization platform that lets organizations deploy prebuilt AI applications (cost optimizers, internal chatbots, AI pipelines, security tools) inside their own AWS, Azure, or GCP environment with one-click, no-code setup. The platform replaces the need for DevOps, MLOps, and third-party tools by generating Terraform infrastructure-as-code, automating cost optimization (up to 40% savings), running daily cybersecurity and penetration tests, and maintaining HIPAA and GDPR compliance out of the box.
Product overview
CloudLayer AI is a cloud-agnostic AI ecosystem platform that enables organizations to deploy AI applications within their own cloud infrastructure (AWS, Azure, GCP) with no-code setup and up to 40% cost savings. The core platform provides one-click deployment of prebuilt AI applications without requiring DevOps, MLOps, or third-party tools. The product portfolio includes AI Model Router for intelligent model routing, Private AI Assistant Builder for building internal chatbots, Cloud Cost Optimizer for reducing cloud waste, and Automated Cybersecurity & Penetration Testing Suite for security automation. Additional offerings encompass infrastructure-as-code services (AWS Provider Terraform, Terraform for Azure), cloud security solutions (CASB, Azure Security, AWS Security), optimization tools (AWS Athena Optimization, Cloud Cost Calculator), compliance solutions (HIPAA Compliance Suite), and consulting services (Cloud Consulting, Cloud Management, Cloud Backup Solutions). The platform is positioned as eliminating traditional AI deployment blockers by making it instant, compliant, and cost-efficient.
Differentiator
Problem solved
Functional benefit
Products and services
- CloudLayer AI Platform The foundational cloud-agnostic AI ecosystem enabling one-click deployment of prebuilt AI applications (cost optimizers, internal chatbots, AI pipelines, security tools) within the customer's own AWS, Azure, or GCP environment without requiring DevOps, MLOps, or third-party tools.
- AI Model Router Intelligent routing system that directs AI model requests to the optimal underlying models based on task requirements and cost efficiency, deployed inside the customer's own cloud.
- Private AI Assistant Builder No-code platform for building internal chatbots and AI assistants that deploy inside the customer's own cloud environment, ensuring data privacy and compliance.
- Cloud Cost Optimizer AI-driven cloud cost optimization tool that auto-scales resources and eliminates idle compute, cutting cloud waste by up to 40% across AWS, Azure, and GCP.
- Automated Cybersecurity and Penetration Testing Suite Automated security solution featuring daily cybersecurity checks, penetration testing, and IAM reviews to detect and address threats proactively across cloud environments.
- Cloud Access Security Brokers (CASB) Security solution providing round-the-clock threat surveillance, data safeguarding, and compliance oversight across cloud environments and SaaS applications such as Office 365, with shadow IT discovery and granular access controls, available via API-driven, proxy, or hybrid deployment.
- AWS Security AWS-specific security solution that detects weaknesses, applies AWS Well-Architected Framework and CIS Benchmark practices, reinforces IAM policies, and enables continuous security monitoring via CloudTrail, GuardDuty, and Config.
- Azure Security Azure-specific security solution that detects vulnerabilities, applies best practices, hardens identity and access management, and implements continuous monitoring using Microsoft Defender, Sentinel, and Log Analytics.
- AWS Provider Terraform Infrastructure-as-code service using Terraform to automate AWS deployments, resource provisioning, and cloud management.
- Terraform for Azure Infrastructure-as-code solution using Terraform to streamline Azure cloud deployments, virtual networks, Kubernetes, and database management.
- AWS Athena Optimization Service that optimizes AWS Athena queries through automatic partitioning, bucketing, columnar format conversion (Parquet/ORC), and cost-based query tuning to accelerate performance and reduce storage costs by 60%+.
- Google Cloud Optimization Optimization service for Google Cloud environments that analyzes setups to identify inefficiencies, boost performance, and reduce costs by up to 50%.
- Cloud Cost Calculator Advanced tool for calculating and optimizing cloud costs across multiple providers, identifying hidden costs (data transfer, storage tiers, reserved pricing) and providing tailored recommendations for cost reduction.
- HIPAA Compliance Suite Healthcare compliance solution helping organizations achieve HIPAA compliance through risk assessments, policy implementation, and staff training, covering the Privacy Rule, Security Rule, and Breach Notification Rule.
- Automated AI Compliance Suite Automated compliance solution enabling organizations to achieve and maintain regulatory compliance automatically across their cloud environments.
- Cloud Consulting Services Expert guidance services for transitioning to cloud-based systems and optimizing existing cloud solutions, tailored to each organization's unique needs.
- Cloud Management Comprehensive cloud management services encompassing resource allocation, monitoring, and security measures for optimal cloud performance.
- Cloud Backup Solutions Cloud-based backup services providing reliable data protection, automatic backups, data encryption, and versioning for data recovery.
- On-Premise Software Deployment Solution enabling businesses to implement and manage software on their own premises with enhanced control, improved security, and tailored configurations for rigorous compliance requirements.
Quantifiable outcome
- Reduces cloud costs by up to 40%
- +4 more outcomes
Companies that use CloudLayer AI
Customer profileNamed customers3 records
Segments3 records
Ideal customer profiles2 records
CloudLayer AI technology and API
TechnologyTechnology focussed Yes
API detail
- Has API
- No
- API docs
- API detail
Core technology
AI maturity
App detail
Integration2 records
AI capability3 records
Feature7 records
CloudLayer AI partnerships and signals
Strategic signalScale indicators4 records
Recent moves6 records
Expansion highlights6 records
CloudLayer AI competitors and assessment
Company assessmentBroad incumbents
- Domino Data Lab: Domino is an enterprise MLOps platform that helps organizations deploy and manage AI models across cloud environments. It competes with CloudLayer's private AI deployment and MLOps-abstraction positioning, though it is focused on data science teams at large enterprises.
- CloudHealth by VMware: CloudHealth (now VMware Aria Cost) is an established multi-cloud cost management and governance platform. As a broad incumbent, it overlaps with CloudLayer's cost optimization and governance offerings but serves a much wider portfolio of cloud management use cases for large enterprises.
Direct peers
- nOps: nOps is an AWS cost optimization and management platform that automates savings recommendations and commitment management. It competes with CloudLayer's AWS-focused cost optimization and FinOps capabilities for mid-market and enterprise AWS customers.
- CAST AI: CAST AI provides AI-driven Kubernetes cost optimization and security across AWS, Azure, and GCP. It competes head-to-head with CloudLayer's automated cloud cost optimization and continuous security posture management, targeting the same enterprise and growth-stage cloud-native buyers.
- Kubecost: Kubecost offers real-time Kubernetes and cloud cost monitoring and optimization. It directly overlaps with CloudLayer's cloud cost optimization and Athena-style workload efficiency tooling, serving similar cloud-native engineering teams.
- Spot.io (NetApp Spot): Spot.io (now part of NetApp) is a cloud cost optimization and autonomous infrastructure platform for AWS, Azure, and GCP. It directly overlaps with CloudLayer's cloud cost optimizer and automated scaling capabilities, and serves a similar enterprise buyer seeking waste reduction and infrastructure automation.
- Zesty: Zesty provides automated cloud cost optimization for AWS, with a focus on commitment discount management and elastic resource scaling. It directly competes with CloudLayer's AI-driven auto-scaling and cost-reduction features for cloud-native workloads.
Others
- HashiCorp (Terraform): HashiCorp's Terraform is the foundational infrastructure-as-code tool that CloudLayer builds upon for AWS and Azure deployments. While not a direct competitor, it is a deeply adjacent enabling technology — CloudLayer's Terraform-based workflow relies on and competes for mindshare against HashiCorp's broader cloud automation portfolio.
Emerging players
- Anyscale: Anyscale operates the Ray-based Anyscale Platform for running AI workloads on customer cloud infrastructure. It overlaps with CloudLayer's AI deployment and private cloud AI positioning, though Anyscale is more focused on compute-intensive AI workloads rather than cost and security automation.
- Weights & Biases: Weights & Biases is an AI developer platform for experiment tracking, model management, and deployment. It overlaps with CloudLayer's AI model router and deployment capabilities, though it is more focused on the ML practitioner workflow than cloud cost and security automation.
Market position
Strengths5 records
Weaknesses5 records
Competitive moat4 records
Key risks6 records
Key highlights6 records
Customer concentration
CloudLayer AI social profiles
Digital presenceCloudLayer AI compliance and trust
Trust signalCompliance3 records
CloudLayer AI financial estimates
Financial estimateRevenue estimate
Valuation estimate
CloudLayer AI leadership team
Management profileNumber of profiles
Profiles3 records
CloudLayer AI funding detail
Funding detailFunding overview
Funding rounds
Investors
Funding detail is available on the Subscription and Enterprise plan.Contact sales →
CloudLayer 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 CloudLayer AI
What does CloudLayer AI do?
CloudLayer AI is a cloud-agnostic AI deployment and cloud optimization platform that lets organizations deploy prebuilt AI applications (cost optimizers, internal chatbots, AI pipelines, security tools) inside their own AWS, Azure, or GCP environment with one-click, no-code setup. The platform replaces the need for DevOps, MLOps, and third-party tools by generating Terraform infrastructure-as-code, automating cost optimization (up to 40% savings), running daily cybersecurity and penetration tests, and maintaining HIPAA and GDPR compliance out of the box.
Is CloudLayer AI a public or private company?
CloudLayer AI is a private company. It is classified as founder individual operated bootstrapped and is currently operating.
When was CloudLayer AI founded?
CloudLayer AI was founded in 2025. It employs 1 to 10 people.
Where is CloudLayer AI based?
CloudLayer AI is headquartered in New York, United States, in the North America region.
How does CloudLayer AI make money?
One revenue line is on record: cloudLayer AI Platform Subscription.
Who are CloudLayer AI's main competitors?
Broad incumbents on record are Domino Data Lab and CloudHealth by VMware. Direct peers are nOps, CAST AI, Kubecost, Spot.io (NetApp Spot) and Zesty. HashiCorp (Terraform) is listed as an others. Emerging players are Anyscale and Weights & Biases.
Does CloudLayer AI have an API?
No public API is recorded for CloudLayer AI.
What industry is CloudLayer AI in?
CloudLayer AI's product category is Cloud Cost Optimization Software. Its primary akta.pro industry code is HDAEANAJ, AI Application Enablement Platforms (Copilot/Agent Frameworks, SDKs), with a secondary code of HDAEANAA, End-to-End Enterprise AI Platforms (MLOps & Model Lifecycle Management). Its NAICS code is 51821 and its SIC code is 7372.