Automated Kubernetes platform optimizing cloud costs and simplifying AI infrastructure operations.
What it does
Unifies Kubernetes and VM infrastructure across multi-cloud, edge, and on-premises environments into a single management plane.
Automates workload right-sizing and microservice auto-piloting to eliminate overprovisioning and reduce cloud compute costs.
Provides a fully managed AI SaaS stack enabling LLM training, fine-tuning, and inference across distributed clusters.
Enforces logical organization and centralized access governance across federated Kubernetes clusters behind customer firewalls.
Why it works
Founded by the co-creator of Linux containers with deep Google Borg and Apache Mesos domain expertise.
Patented auto-piloting and right-scaling algorithms reduce GPU and cloud computing spend significantly.
Unified control plane eliminates multi-cloud management complexity without sacrificing data sovereignty.
OpenAI-compatible API integrations allow seamless deployment of open-source models like Llama without rewriting applications.
Automated Kubernetes platform optimizing cloud costs and simplifying AI infrastructure operations.
Overview
CloudNatix is an enterprise SaaS platform built for multi-cloud Kubernetes orchestration and AI infrastructure management. Founded by core pioneers of Linux containers and cluster management technologies, the platform unifies distributed resources across AWS, Azure, Google Cloud, and on-premises environments into a cohesive cluster management ecosystem. It automates container right-sizing, auto-pilots microservices, and streamlines LLM training and inference workloads.
Founded year:2018
Founder:Rohit Seth, Somik Behera
Team size:11-25
Popularity:Enterprise deployments across global enterprise clients
HQ:Saratoga, CA, United States
Status:Active
Funding status:Funded
Customer type:B2B
Funding:$4.5M+ raised in Seed funding
Pricing:Subscription
Tech stack:Go, C++, Kubernetes, Docker, AWS, Azure, Google Cloud, React
Platform:Web
Integrations:AWS, EKS, Azure, AKS, Google Cloud, GKE, Kubernetes, Datadog
What it does
Unifies Kubernetes and VM infrastructure across multi-cloud, edge, and on-premises environments into a single management plane.
Automates workload right-sizing and microservice auto-piloting to eliminate overprovisioning and reduce cloud compute costs.
Provides a fully managed AI SaaS stack enabling LLM training, fine-tuning, and inference across distributed clusters.
Enforces logical organization and centralized access governance across federated Kubernetes clusters behind customer firewalls.
Who it's for
Enterprise DevOps & AIOps Teams
Multi-Cloud Infrastructure Engineers
AI/ML Operations Leaders
Cloud Financial Operations (FinOps) Teams
Why it works
Founded by the co-creator of Linux containers with deep Google Borg and Apache Mesos domain expertise.
Patented auto-piloting and right-scaling algorithms reduce GPU and cloud computing spend significantly.
Unified control plane eliminates multi-cloud management complexity without sacrificing data sovereignty.
OpenAI-compatible API integrations allow seamless deployment of open-source models like Llama without rewriting applications.
Founder story
Founded in 2018 in Saratoga, California, by Rohit Seth and Somik Behera, CloudNatix was created to solve enterprise multi-cloud fragmentation. Seth previously spent 11 years at Google where he invented Linux containers and managed core data center optimization technologies. Recognizing that enterprises struggled with overprovisioning and fragmented Kubernetes operations, the team built a planet-scale cluster management platform.
Unlike cost-only visibility dashboards like Kubecost, CloudNatix automatically auto-pilots microservices and optimizes compute allocation across cloud, edge, and on-premises deployments.