Private AI Data Platforms
pkgsystems.com

Your data. Your AI. Your environment.

PKG Systems builds private AI data platforms for mid-market companies — packaged, run by us, owned by you.

Aggregate your data from every system into a Kubernetes environment we design exclusively for you, with AI tools your team uses to analyze it. Nothing leaves your environment. Ever.

🧱 One cluster per customer.

A Kubernetes cluster designed and operated for one customer. No multi-tenant SaaS hiding behind a "private" label, no shared databases, no shared model endpoints. Your data is isolated by architecture, not by a vendor's privacy policy.

🤖 AI on your data, in your environment.

Retrieval, agents, conversational analysis — all running against models we deploy in your cluster, indexes we build from your data. Nothing ships to a public LLM. Nothing trains a shared model. The prompts are yours; the rows are yours.

🗝 Take it with you if you leave.

Standard upstream Kubernetes, standard Postgres, standard everything. Your data in your Postgres, in documented schemas you can read with or without our software. Documentation in your hands. If you ever leave PKG: you keep the cluster, you keep the data, and you get 90 days of transition runtime.

What a packaged engagement covers

How an engagement runs

Discovery

Fixed-price, typically 2-4 weeks. We map your data sources, talk to your team, and produce a written architecture and a fixed-price build estimate. You own the document either way.

Build

Fixed-price implementation against the Discovery deliverable. No hourly billing, no scope expansion without written sign-off. Working software at the end of every two-week iteration.

Run

Monthly run-rate covering the cluster, database, application, and integrations. Enhancements within an agreed envelope. Cancel with 60 days' notice; we hand the system over.

Built for mid-market companies who'd rather own the platform

PKG is for mid-market operators ($20M-$500M revenue) who have outgrown spreadsheets, lost patience with SaaS analytics, and don't want to hire a 30-person IT department. The fit is strongest when: