AI that turns your legacy Arabic records into instant answers
Governments and enterprises in Saudi Arabia/MENA waste massive resources on legacy record systems that keep critical knowledge locked and inaccessible
DiwanIQ ingests mountains of scanned documents, PDFs and old records, intelligently extracts knowledge using specialized Arabic AI models, and lets teams query everything using natural language. It provides sourced answers, generates summaries, and maintains complete audit trails required by government regulations.
Government agencies and large enterprises in Saudi Arabia and the MENA region managing legacy records
First platform specifically trained on Saudi and MENA governmental Arabic terminology with built-in PDPL and records management compliance.
professional and supportive
Drag-and-drop upload with virus scanning and encryption for sensitive records
High-accuracy text extraction from scanned images and PDFs supporting multiple Arabic dialects
AI-powered search that understands meaning, not just keywords
Chat with your archives like talking to an expert archivist
All answers include clickable references to original documents and page numbers
Granular permissions tailored to government hierarchy structures
One-click reports for regulatory audits
Handle thousands of documents with progress tracking
Generate executive summaries of long records
| Column | Type | Nullable |
|---|---|---|
| id | uuid | No |
| name | text | No |
| domain | text | Yes |
| created_at | timestamp | No |
| Column | Type | Nullable |
|---|---|---|
| id | uuid | No |
| organization_id | uuid | No |
| text | No | |
| role | text | No |
| created_at | timestamp | No |
Relationships:
| Column | Type | Nullable |
|---|---|---|
| id | uuid | No |
| organization_id | uuid | No |
| title | text | No |
| original_filename | text | No |
| status | text | No |
| extracted_text | text | Yes |
| created_at | timestamp | No |
Relationships:
| Column | Type | Nullable |
|---|---|---|
| id | uuid | No |
| document_id | uuid | No |
| content | text | No |
| embedding | vector | Yes |
| page_number | int | Yes |
Relationships:
/api/documents/uploadUpload and initiate processing of new documents
/api/searchPerform semantic search across all indexed documents
/api/querySend natural language query to LLM with retrieved context
/api/documentsList all documents in workspace with status
/api/compliance/reportGenerate compliance and usage report
/api/documents/{id}Soft delete a document and its chunks
1 workspace, 3 users
Up to 10 users per agency
Unlimited everything
| Month | Users | Conversion | MRR | ARR |
|---|---|---|---|---|
| Month 1 | 45 | 8% | $126 | $1,512 |
| Month 6 | 320 | 22% | $2,464 | $29,568 |
DiwanIQ uses Arabic-optimized AI to let you search, query, and understand decades of government records in seconds. Built for Saudi agencies and MENA enterprises.
Target records management departments in KSA government ministries via LinkedIn Sales Navigator with personalized outreach offering free 60-day pilots. Attend and sponsor local events like LEAP or Gitex in Dubai to network with digital transformation leads. Partner with established Saudi IT consulting firms who have existing relationships with target agencies to get co-selling opportunities.
Strong document management and automation
Generic AI not optimized for Arabic governmental records
Superior Arabic language understanding and pre-built compliance for Saudi regulations
Comprehensive ECM features
Extremely expensive and complex to implement
Focused micro-SaaS approach with rapid deployment and affordable pricing
Excellent OCR accuracy
Lacks modern RAG and conversational capabilities
Complete solution from OCR to insights, not just capture
Domain-specific fine-tuning on MENA governmental Arabic texts creating a performance gap that general purpose tools cannot close. As more agencies contribute anonymized data, the system gets smarter for everyone in the region (data moat).
Saudi Vision 2030 has created unprecedented funding for digital government initiatives while new regulations like PDPL demand better records management. Advances in LLM technology now make high-quality Arabic RAG economically feasible for the first time.
Potential mishandling of classified government information
Data residency in KSA, strict encryption, and pursuit of NCA and PDPL certifications from day one
Long government sales cycles
Start with large enterprises and smaller agencies with faster procurement to build case studies
Lower than expected OCR accuracy on historical Arabic documents
Hybrid approach with human review option and multiple OCR engines
High API costs from LLM usage
Caching of common queries, prompt optimization, and option for self-hosted models in Enterprise tier
Success: 80% express strong interest and intent to pilot
Success: Achieve >85% answer accuracy on test set
Success: Receive positive NPS > 40 and at least one case study
Success: Acquire 2 new customers from referrals within 3 months
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