Platform Engineering

A Self-Healing Application Platform
That Deploys Itself

We build container orchestration clusters and GitOps delivery pipelines on top of your infrastructure — so your software and AI workloads ship reliably, consistently, and without manual intervention.

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What We Build

We work with standard, open-source container orchestration and GitOps tooling — no proprietary lock-in, no black boxes.

Kubernetes Clusters

We deploy and configure production-ready container orchestration clusters — on bare metal, on your private cloud, or on a public cloud provider.

GitOps Pipelines

We set up git-based delivery pipelines so your infrastructure and applications are declared in code and reconciled automatically.

Application Delivery

We configure automated application deployment workflows — from repository commits to running workloads — with rollback and health checks built in.

Cluster Operations

We handle ongoing cluster maintenance, upgrades, and troubleshooting so your platform stays current and healthy.

AI Model Serving

We deploy inference endpoints and model-serving pipelines on your cluster — so your AI workloads run on infrastructure you control, on-prem or in the cloud.

What You Receive

A production-ready platform — cluster running, GitOps connected, applications deploying — handed off with full documentation and runbooks.

  • Cluster architecture design and documentation
  • Kubernetes cluster deployment and baseline configuration
  • GitOps tooling installation and repository setup
  • Application deployment pipeline configuration
  • Ingress, networking, and DNS configuration
  • Persistent storage and stateful workload setup
  • AI model serving and inference endpoint deployment
  • Role-based access control (RBAC) configuration
  • Cluster upgrade and maintenance runbooks

Good Fit For

  • Teams shipping software
    Get a reliable, repeatable deployment workflow so releases are not a manual event.
  • Organizations running multiple apps
    Consolidate workloads onto a shared platform with proper isolation and resource management.
  • AI-powered applications
    Deploy and serve AI models on your own infrastructure — private inference without sending data to third-party APIs.
  • Private cloud environments
    Layer a GitOps platform on top of on-premises compute for a full private cloud stack.
  • Government systems
    Run applications on infrastructure you control — no shared cloud tenancy.

Our Process

Platform work requires careful sequencing. We design before we deploy, and validate at each step.

01

Architecture

We design your cluster topology, node sizing, networking model, and GitOps workflow before deploying anything.

02

Cluster Provisioning

We deploy the cluster on your infrastructure, configure the control plane, and validate cluster health.

03

GitOps Setup

We install and configure the GitOps controller, connect it to your repository, and deploy initial workloads.

04

App Deployment

We onboard your applications into the GitOps workflow and validate end-to-end deployment.

05

Hand Off

You receive a running platform with documentation, runbooks, and access to manage it going forward.

Ready to Build Your Platform?

Tell us about your infrastructure and applications and we'll design the right platform for you.

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