AI Document Processing, OCR & RAG Systems
Organisations across the GCC hold decades of knowledge in scanned letters, forms, contracts and reports. AICubes turns those archives into structured data and searchable knowledge, using OCR tuned for Arabic and English, document AI for extraction, and retrieval-augmented generation (RAG) for question answering.
Every answer links back to the source page so staff can verify it. Documents and indexes stay on your infrastructure, and access follows your existing permissions.
What we deliver
- 01
Arabic and English OCR
Text recognition for printed documents and forms, including mixed-language pages and tables.
- 02
Document classification
Automatic sorting of incoming documents by type, department or priority.
- 03
Data extraction
Fields, tables and entities pulled from invoices, IDs, contracts and applications into your systems.
- 04
RAG knowledge search
Ask questions in natural language and get answers grounded in your documents, with citations.
- 05
Permission-aware retrieval
Users only see answers drawn from documents they are allowed to access.
- 06
Human-in-the-loop review
Low-confidence extractions are routed to reviewers, and their corrections improve the system.
Typical use cases
- Digitising historical archives and correspondence
- Processing applications, permits and licences
- Invoice and purchase-order extraction for finance teams
- Policy and regulation search for employees
- Contract repositories with clause search
How we deliver
On-premise, private cloud or hybrid
Deployed where your data is allowed to live — your data centre, an in-country cloud, or a mix.
Arabic and English
Interfaces, models and documentation designed for bilingual users from the start.
Integrated with your systems
Connected to existing databases, identity providers, ERPs and line-of-business applications.
Supported after launch
Monitoring, model updates and a named engineering contact once the system is live.
Frequently asked questions
Accuracy depends on scan quality, fonts and layouts, so we measure it on a sample of your own documents during discovery and agree acceptance criteria before rollout. Handwriting is assessed case by case.
Retrieval-augmented generation retrieves relevant passages from your documents and gives them to the language model when answering. Answers are based on your content and can be traced to the source, rather than relying on the model’s memory.
Related services
Legal AI & Decision Support Systems
Research, contract review and case summarisation over Arabic and English legal texts, with cited answers and human oversight.
Learn moreOn-Premise LLM Deployment & AI Infrastructure
Open-weight large language models served with vLLM on NVIDIA H200 GPUs, inside your data centre and under your control.
Learn moreAI Workflow & Process Automation
Document-driven workflows, approvals, system integrations and AI agents that turn multi-step manual procedures into reliable digital services.
Learn morePlan your next AI system with an engineer.
Tell us what you need to build. We respond within one business day with next steps, questions and — where the scope is clear — an indicative quote.