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ARDGE Solutions

AI Data Pre-processing Engine

Solving a Key On-Prem AI Challenge: Data Preprocessing

Poorly extracted document content can directly reduce the search and response quality of on-prem AI. We help enterprises process, extract, and convert complex documents into structured Markdown locally, preserving knowledge and data privacy while improving AI data quality and the accuracy of Agents, Chatbots, and knowledge bases.

Key Benefits

Why Process Data On-Premise

Keep Sensitive Data On-Premise

Run document parsing, OCR, summarization, and vectorization inside your enterprise network instead of sending confidential files directly to cloud AI services.

Prepare Better Data for AI

Convert scattered, unstructured files into AI-ready formats for RAG, AI Agents, automation workflows, and enterprise knowledge applications.

Add Department-Level AI Compute

ARX-100 is compact, quiet, power-efficient, and does not require a server room. It works well for offices, departments, factories, branches, and distributed sites. When paired with NAS storage such as QNAP, ARX creates a practical ARX compute + NAS storage architecture for private AI data processing.

Typical Use Cases

From Raw Files to AI-Ready Intelligence

Before enterprises can adopt AI effectively, internal documents need to be cleaned, parsed, structured, and indexed. ARX enables these preprocessing tasks to run entirely on-premise, reducing cloud exposure and helping teams prepare high-quality data faster.

From Raw Files to AI-Ready Intelligence

OCR Filing for Contracts and Invoices

Place contracts, quotations, invoices, or scanned documents into a designated folder. ARX performs OCR and field extraction to identify customer names, amounts, dates, items, and other key information.

  • Invoice and receipt organization
  • Contract data indexing
  • Purchase order, quotation, and sales order recognition
  • ERP / MES / internal system preprocessing

On-Premise RAG Knowledge Base

Connect PDFs, Word files, presentations, technical manuals, and internal knowledge documents to ARX. ARX parses, chunks, and vectorizes documents to build an on-premise knowledge base for AI search and Q&A.

  • Internal technical support
  • Customer service and maintenance document search
  • R&D document management
  • Private enterprise AI Q&A

Solution Architecture

How ARX Fits Into Your Infrastructure

How ARX Fits Into Your Infrastructure

ARX as the On-Premise AI Compute Node

ARX provides inference, model management, and AI tools for OCR, summarization, embedding, and document parsing.

NAS as the Enterprise Data Source

Enterprise files can remain on NAS or internal file servers. ARX connects to external NFS folders through Storage Mount and processes selected data sources directly.

API / MCP / Skill Integration

ARX provides API, MCP, and Skill interfaces, allowing AI Agents, enterprise applications, and automation workflows to use on-premise AI capabilities.

Getting Started

Start with One Folder, One Workflow, One Department

Step 1

Mount Storage

Mount a NAS or internal folder to ARX.

Step 2

Select Tasks

Select OCR, summarization, or vectorization tasks.

Step 3

Integrate

Integrate through API, MCP, or Skill.

Step 4

Feed Your AI

Feed processed data into RAG, AI Agents, or enterprise systems.

Learn more about ARDGE’s latest Private AI solutions:

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Orders, Partnerships, or Sales Inquiries

usasales@ardge.com