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Private Knowledge AI for Customer-Controlled Environments

Private RAG for teams that need answers
from internal knowledge

PrivaPlane is a private knowledge-base AI product for organizations that need RAG Q&A, knowledge ingestion, local model execution, licensing, and delivery evidence in customer-controlled environments.

  • SKU A/B packages for Standard and Professional Private RAG.
  • Private network, on-prem, or private edge deployment baseline.
  • Founder-led delivery from data boundary to acceptance evidence.
Request Deployment Plan See Deployment Flow

Best-fit Use Cases

Start with a bounded knowledge base and expand after answer quality is proven.

01
Knowledge Q&A

Internal Knowledge Search

Answer questions from manuals, policies, support notes, and project documents with reviewable retrieval evidence.

Ingestion

Private Document Onboarding

Create and manage knowledge bases from selected internal documents without moving to a public AI platform.

Professional

Governance & Acceptance

Use quality dashboards, audit export, backup/restore evidence, and delivery support for Professional deployments.

SKU A · Standard

Private Knowledge Q&A Starter

For teams that want to ask questions over internal documents. Start with selected manuals, policies, FAQs, or project records, and use a private web console to search and answer from them.

SKU B · Professional

Private Knowledge AI for Daily Operations

For teams that need more than a first knowledge base. Manage multiple teams or document sets, check answer quality, keep delivery evidence, and receive stronger setup and operation support.

Deployment Flow

A practical path from private trial to accepted production use.

02
Step 1
Confirm SKU A/B fit, data boundary, deployment target, and customer auth ingress.
Step 2
Install the release stack in the customer-controlled environment and prepare the local model runtime.
Step 3
Ingest selected documents, validate RAG answers, and review citations and evidence.
Step 4
Export acceptance evidence, stabilize operations, and decide the next rollout scope.

Trust Basics

Practical commitments aligned with the actual Private RAG delivery boundary.

03

Customer-Controlled Deployment

Production runs behind customer-controlled auth ingress on a private network, on-prem, or private edge node.

Local Model & Private RAG

SKU A/B default to a local model path and private RAG workflow for knowledge-base Q&A.

License & Access Enforcement

Licensed entitlements and project-level controls keep Standard and Professional features explicit.

Audit & Recovery Evidence

Professional deployments can include audit export, acceptance evidence, backup/restore, and observability support.

Independent Builder, Professional Delivery

Direct collaboration through scoping, installation, validation, and acceptance.

04

Feng zhiping

Founder & Product Builder · PrivaPlane

PrivaPlane is built and delivered as a focused private knowledge AI product: clear SKU scope, private deployment boundaries, transparent tradeoffs, and acceptance-ready evidence.

  • Research and development updates on GitHub
  • Direct founder communication during implementation
  • Roadmap and change-log visibility for delivery scope
  • SKU and acceptance commitments over vague platform promises

Let's discuss your
private knowledge AI rollout.

Start with a 20-minute founder call.
We will confirm SKU fit, data boundary, deployment target, and the first knowledge base to validate.

First 20 minutes

What we confirm

  • Documents and first knowledge workflow
  • Users, department scope, and SKU A/B fit
  • Runtime option: MacBook, Mac Studio, GPU Linux, or private server
After the call

What you receive

  • Recommended starting scope
  • Environment and document checklist
  • Next step for pilot or deployment
  • 20-minute founder sales call
  • SKU A/B fit, data boundary, and deployment target check
  • Buyer-friendly installation and acceptance proposal
  • English / Japanese communication

Response target: within 1 business day