AI on your Kubernetes platform, under the controls your security team require
Three AI products: Portainer-Run for the AI-built apps your people are shipping, Portainer-Command for putting AI to work safely on your Kubernetes fleet, and Portainer-AiGrid for private corpus retrieval on compute you already own. Each runs on your Kubernetes platform, uses your existing RBAC, and writes to the same audit trail.
Each product stands alone. Start with whichever AI conversation is loudest this quarter and add the others as they come up.
A toolbox of solutions for your AI problems.
Portainer-Run
The governed landing zone for AI-built business apps. Direct deploy from Claude and other MCP-aware AI clients; source from anywhere else lands via zip upload or Git commit. Runs on your Kubernetes platform under the RBAC and audit trail your security team already require.
- Direct MCP deploy from Claude Desktop, ChatGPT Desktop, Cursor
- Zip upload or Git commit for source from any other AI tool
- Isolated Kubernetes sandbox per app
- Business users never see a cluster
Portainer-Command
The safe way to put AI to work on your Kubernetes fleet. AI agents get expiring read-only sessions and propose changes as GitOps pull requests; humans approve, Portainer applies. Get more done with the platform team you have.
- Read-only sessions with rationale + TTL
- AI proposes, human approves, GitOps applies
- Full audit log across every agent
- Emergency halt from a single dashboard
Portainer-AiGrid
Turn your document corpus into a private, citable retrieval endpoint any AI agent can query. Runs on idle workstations you already own; no per-seat pricing, no six-figure enterprise-search invoice.
- Idle-hours OCR + embedding on your fleet
- Retrieves, never generates: no fabricated answers
- Every result carries filename and page
- Documents never leave your bucket
Nothing new to onboard
Every product runs on your Kubernetes platform with your existing RBAC, GitOps, and audit trail. If you already run Portainer, no new access path, no new security review.
Portainer AI, answered directly
What is Portainer AI?
Portainer AI is a toolbox of solutions to your AI problems. Portainer-Run for AI-built apps that need a governed place to run. Portainer-Command for AI agents that need access to Kubernetes without personal credentials. Portainer-AiGrid for AI agents that need to answer from your document corpus rather than training data.
Do I have to buy all three?
No. Each stands alone. Most start with whichever AI conversation is loudest this quarter.
Where does it run?
On your Kubernetes platform, wherever it lives: cloud, on-prem, edge, air-gapped.
How does it differ from Backstage or Port?
Backstage and Port are internal developer platforms; the primary users are engineers who already know Kubernetes and Git. Portainer AI covers three specific AI problems; each product has a self-service surface that requires no Kubernetes knowledge, and each is callable by AI agents through MCP.
Is data leaving our environment?
No. Workloads run on your Kubernetes platform, documents stay in your bucket, agent traffic terminates inside your boundary.
See it run on infrastructure you already operate
We will walk you through the product that maps to your current AI conversation, on a live governed Kubernetes environment, and show you exactly what it takes to stand it up in yours.