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.
ARDGE Solutions
Solving a Key On-Prem AI Challenge: Data Preprocessing
Key Benefits
Run document parsing, OCR, summarization, and vectorization inside your enterprise network instead of sending confidential files directly to cloud AI services.
Convert scattered, unstructured files into AI-ready formats for RAG, AI Agents, automation workflows, and enterprise knowledge applications.
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
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.

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.
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.
Solution Architecture

ARX provides inference, model management, and AI tools for OCR, summarization, embedding, and document parsing.
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.
ARX provides API, MCP, and Skill interfaces, allowing AI Agents, enterprise applications, and automation workflows to use on-premise AI capabilities.
Getting Started
Step 1
Mount a NAS or internal folder to ARX.
Step 2
Select OCR, summarization, or vectorization tasks.
Step 3
Integrate through API, MCP, or Skill.
Step 4
Feed processed data into RAG, AI Agents, or enterprise systems.
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