VeeArchive
RAG-powered conversational document discovery and cognitive records governance.
VeeArchive transforms decades of unstructured scanned paper, microfilms, and digital archives into a conversational, searchable enterprise knowledge graph. Using advanced Arabic/English OCR and hybrid RAG retrieval, organizations can query millions of pages in natural language with verified citations.
Engineered for High-Stakes Operations
Key architectural and functional capabilities built natively into VeeArchive.
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End-to-end cognitive document pipeline: High-speed OCR → NLP understanding → entity linkage → knowledge graph
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Bilingual Arabic/English OCR engine capable of parsing historical degraded paper documents and cursive scripts
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Semantic RAG conversational discovery: ask complex institutional questions and receive grounded answers with citations
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Automated PII detection, sensitive data redaction, and multi-tier security clearance masking
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Enterprise records governance: automated retention schedules, legal hold enforcement, and disposition workflows
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Native connectors for IBM FileNet, OpenText Documentum, Microsoft SharePoint, and custom on-prem storage
How Organizations Deploy VeeArchive
Instantly locate historical ministerial resolutions and signed decree precedents dating back decades
Answer complex regulatory and litigation discovery requests across petabyte-scale document repositories
Automate the classification, tagging, and indexing of legacy paper archive digitization projects
Enforce statutory document retention and destruction rules with full evidentiary audit logs
Where It Operates
Core Frameworks & Runtimes
Complementary Solutions
LexiGuard AI
Bilingual contract risk analysis at machine speed with native Arabic legal NLP.
REGCENTRAL
GCC-wide regulatory change tracking, impact analysis, and compliance workflows.
Request a Technical Briefing on VeeArchive
Speak with our solutions engineering team regarding deployment feasibility within your security boundary.