🔐 Document Intelligence

Your Classified Arabic Documents
Deserve Classified Tools.

حِصن (Arabic for "fortress") is the only Arabic document processor designed from the ground up for classified environments. 100% offline. 10-stage repair pipeline. 44,580-word corpus. Local Arabic LLM. Not one byte leaves your network.

100% OfflineAir-Gap Compatible96% OCR QualityLocal Arabic LLMRAG-Ready
96%
OCR quality score
44,580
Arabic word corpus
0
External API calls
The Problem

Why Standard Arabic OCR
Fails on Classified PDFs.

Government ministries, central banks, law enforcement agencies, and legal firms across Saudi Arabia, the UAE, Qatar, and Kuwait generate millions of Arabic-language documents annually — contracts, regulatory filings, internal reports, classified briefs. Standard OCR tools were not built for these documents.

Scanned government archives suffer from corrupted characters, fused words, reversed RTL ordering, injected page numbers, and multi-dialect variation that commercial tools cannot handle. حِصن's 10-stage repair pipeline was built specifically for this problem — backed by a 44,580-word Arabic corpus with bigram-scoring word segmentation.

The Solution — 10-Stage Pipeline

From Corrupted Scan to
Clean Intelligence.

STAGE 01
Multi-Engine OCR
Parallel OCR engines with Arabic-optimised models for maximum character recognition accuracy
STAGE 02
RTL Correction
Reversal of incorrectly ordered right-to-left Arabic text sequences from scanning artifacts
STAGE 03
Word Fusion Repair
44,580-word corpus with bigram-scoring identifies and corrects fused Arabic words
STAGE 04
Character Restoration
Corrupted, missing, and ambiguous Arabic characters restored using contextual language models
STAGE 05
Page Number Removal
Injected page numbers and headers removed without disrupting surrounding content
STAGE 06–10
Quality Assurance
Multi-pass validation, confidence scoring, AI enhancement, and final quality gate at 96% threshold
Local Arabic LLM

Chat With Your Documents.
Zero External Calls.

Once your Arabic documents are processed and repaired, حِصن's local Arabic LLM — powered by JAIS 13B, running entirely on your hardware — enables natural language interaction with your document library. Search, summarise, analyse, and export to Markdown for RAG integration.

  • Natural language queries in Arabic and English — ask questions, get answers from your documents
  • Semantic search across your entire classified document library
  • Structured Markdown export — RAG-ready for integration with BEVYMIND and CIPHER
  • GPU-accelerated inference — JAIS 13B local model, zero internet required
  • Magic-byte file validation — every uploaded file verified at byte level, not filename extension
  • Zero file retention — all temporary processing files deleted immediately after completion
GCC Deployment

Built for GCC Governments,
Banks, and Regulated Enterprises.

Fully compliant with UAE NESA, NCA ECC, and SDAIA AI governance frameworks. حِصن processes classified documents inside your walls — no cloud, no external API, no data residency risk.

  • Government ministries — classified Arabic briefs, policy documents, operational reports
  • Central banks and financial institutions — Arabic regulatory filings, audit documents, compliance reports
  • Law enforcement agencies — classified incident reports, intelligence documents, case files
  • Legal firms — Arabic contracts, court documents, regulatory correspondence
  • Healthcare institutions — Arabic clinical records, ADHICS-compliant patient documentation
🔐 حِصن · HISN

Your Classified Documents. Your Infrastructure.

Request a strategy brief to explore how حِصن can process your Arabic document library entirely within your perimeter.

Request Strategy Brief → Explore All Products