Private client deliverables
Ship AI-generated reports, dashboards, media pages, and portals behind private URLs, passcodes, and clear revoke paths.
Secure Docker PowerPods for AI-built apps
QuantiGrid PowerPods
Launch Secure AI Outputs
Turn AI-generated dashboards, reports, tools, and client portals into live, private Docker-backed deployments on the QuantiGrid dedicated server fabric.
Dedicated Docker runtime
Private launch URLs
The standalone first product
Secure AI deliverables that can become real apps.
PowerPods starts simple: publish the thing your AI agent made, secure it, brand it, and add a Docker container only when the page needs live compute. That gives customers immediate value while QuantiGrid builds toward larger cluster-backed products.
Docker pod when static is not enough
Attach a real container for forms, APIs, webhooks, Python tools, scheduled jobs, or lightweight SaaS workflows.
Secure by default
Start with isolated deployments, TLS, scoped secrets, access logs, resource limits, and manual approval before public exposure.
Ready for paid pilots
Use the existing Stripe path to sell setup packages, monthly managed pods, and higher-touch dedicated deployments.
Dedicated server economics
Launch now on controlled Docker capacity, then scale into scheduler-backed clusters once usage proves the demand.
Financial-grade story
Lead with serious datacenter placement, support, governance, and private compute rather than commodity web hosting.
Docker now, clusters later
Use the dedicated servers already in hand.
The fastest billion-dollar path is not overbuilding the scheduler first. It is proving customers will pay for secure, live AI outputs, then using that demand to justify Kubernetes, stronger sandboxing, GPU pools, and region-aware placement.
Launch first pilotDocker first
Immediate launch substrate
Private URLs
Default share posture
Stripe path
Paid pilots today
Cluster later
K8s when demand proves it
From AI output to paid deployment.
A simple launch workflow for agencies, AI consultants, internal teams, and financial operators who need a live result now.
01
Send the artifact
Upload the generated site, dashboard, report bundle, or app image that needs to become a live deliverable.
02
Choose the launch mode
Start as a private static portal or add a managed Docker PowerPod for server-side logic and data handling.
03
Share and sell
Connect the URL, add access controls, track activity, and package the result as a paid managed service.
Pilot pricing for immediate revenue
Sell managed PowerPods before building a marketplace.
Start with high-touch packages, Stripe billing, and controlled capacity. Expand into self-serve once support, abuse controls, and margins are proven.
Launch Pod
For one secure client portal, generated report, or mini-app.
$99per month
Reserve this pod1 private PowerPods deployment
Docker-backed runtime option
TLS, private URL, passcode gate
Basic logs and uptime checks
Email setup support
Best first offer
Growth Pods
For agencies and operators turning AI outputs into repeatable deliverables.
$299per month
Reserve this podUp to 5 active deployments
Branded portal templates
Custom domain support
Priority setup and migration help
Stripe-ready product handoff
Dedicated Pod
For financial, trading, and high-trust workloads that need dedicated capacity.
$999+monthly
Reserve this podDedicated server or node allocation
Private networking options
Resource and spend controls
Manual security review
Roadmap path to cluster/GPU capacity
What we launch before K8s.
The day-one product is intentionally narrow: secure portal publishing, managed Docker PowerPods, domain setup, billing, and support. Kubernetes becomes the internal scaling layer after repeatable demand appears.
Passcodes, expiry, revoke
Scoped secrets and env vars
Logs and managed access
Setup in hours, not weeks
Make the first PowerPod live.
Start with one secure paid pilot, capture the sales proof, then turn the repeatable pieces into self-serve products.