Data, Analytics & Knowledge
Your documents, searchable and answerable
Contracts, manuals, invoices, and reports sitting in shared drives and email threads, in Arabic and English. We build a system your team can search and ask questions against, with every answer traced back to its source document.
2 to 4
weeks to a working first version
AR + EN
retrieval across both languages natively
10+
file formats ingested, including scans
The direct answer
This is a retrieval and document AI system that lets your team search and ask questions across internal documents, in Arabic and English, and get answers with the source paragraph cited. It is built for companies whose knowledge is scattered across PDFs, scanned contracts, email attachments, and shared drives, where staff waste time hunting for the right clause or the right number.
What this removes.
Scattered document knowledge
Today
Contracts, manuals, and reports live across shared drives, email, and printed archives, with no single search.
With the system
One search box finds the right document and the right paragraph in seconds, in either language.
Arabic documents don't search well
Today
Standard search tools handle English fine and choke on Arabic PDFs, scans, and mixed-language files.
With the system
Retrieval works natively across Arabic and English, including scanned and mixed-language documents.
Answers without sources
Today
Generic AI chat tools give confident answers with no way to check where the information came from.
With the system
Every answer links back to the exact document and paragraph it came from, so your team can verify it.
Manual data entry from scans
Today
Someone retypes numbers from scanned invoices, delivery notes, and forms into spreadsheets by hand.
With the system
Document AI extracts the fields automatically and flags anything it isn't confident about for review.
What lands in your hands.
Document ingestion pipeline
PDFs, scans, Word, Excel, and email attachments pulled in on a schedule.
Arabic and English OCR
Scanned and printed documents converted to searchable, indexed text.
Retrieval and search index
Semantic search across your document set, ranked by relevance.
Source-cited answer interface
A chat interface that answers questions and links to the source paragraph.
Access controls
Permissions mirror who can already see each document, department by department.
Data extraction rules
Structured fields pulled from invoices, contracts, and forms into your systems.
Systems and platforms we work with
- OpenAI
- Anthropic
- Google Gemini
- Meta
Systems and platforms we work with
- React
- Next.js
- TypeScript
- Node.js
- Python
- Flutter
- PostgreSQL
- Supabase
- Tailwind CSS
- Docker
- GitHub
- Google Cloud
- Figma
Five stages. You sign off every one.
Read each stage as a small contract: what we need from you, what lands in your hands, and the sentence that has to be true before we move on.
- Scope and document audit3 to 5 days
- Ingestion and OCR setup1 to 2 weeks
- Retrieval and answer interface1 to 2 weeks
- Access controls and integration1 week
- Live operation and supportongoing
Scope and document audit
3 to 5 days
We look at what documents you actually have, where they live, and what questions your team keeps asking that a search box can't answer today.
- Give access to a sample document set
- Name the top 5 to 10 recurring questions
- A scoped list of document types and sources
- A short plan for the first working version
We move on when we both agree on which documents and questions the first version covers.
Ingestion and OCR setup
1 to 2 weeks
We build the pipeline that pulls in your documents, runs OCR on scans in Arabic and English, and indexes everything for search.
- Confirm document sources and folder structure
- Review a sample of OCR output for accuracy
- A working ingestion pipeline
- An indexed, searchable document set
We move on when search returns correct results across a test set of real documents.
Retrieval and answer interface
1 to 2 weeks
We build the search and question-answering interface, tuned so answers cite the right source paragraph instead of guessing.
- Test the interface with real staff questions
- Flag any answers that miss the source or get it wrong
- A working search and Q&A interface
- Source citations on every answer
We move on when your team can ask real questions and get correctly sourced answers.
Access controls and integration
1 week
We wire permissions to match who can already see each document, and connect the system to wherever your team actually works.
- Confirm department and role access rules
- Choose where the interface should live
- Permission-aware search results
- Integration into your chosen workspace
We move on when each user only sees results from documents they're already allowed to see.
Live operation and support
ongoing
The system runs live, new documents get ingested on schedule, and we stay on for fixes, tuning, and adding new document types.
- Report search misses or extraction errors
- Send new document types as they come up
- Scheduled re-ingestion of new documents
- Ongoing tuning and support
We move on when the system is stable and new documents are showing up in search without manual work.
Where this leads for a specific industry.
Asked before signing.
How is pricing structured for a project like this?
Pricing is based on the volume and variety of documents, whether OCR is needed for scans, and how many integrations you want. We scope this in the first stage and give you a fixed project price before any build work starts, plus a small monthly fee for ongoing ingestion and hosting.
Does this actually work well in Arabic?
Yes, Arabic is treated as a first-class language throughout, not an afterthought. That covers Arabic PDFs, scanned Arabic contracts, and mixed Arabic-English documents, which is common in Saudi procurement and legal paperwork. We test retrieval quality in Arabic specifically before calling any stage done.
Where does our document data go, and is it PDPL compliant?
Documents are processed and stored in a way that respects PDPL requirements around data residency and access control. We don't use your documents to train any external model, and access is scoped so only your permitted staff can query the index. We'll walk through the specific data flow with your IT or compliance team before build starts.
Can this connect to our existing systems, like Odoo or SAP?
Yes. The retrieval system can sit alongside existing ERP or document management tools and pull from them as a source, or push extracted data back into them. We scope the specific integration in stage one based on what you're already running.
Ready to make your documents searchable?
Tell us what documents your team struggles to search or extract data from, and we'll scope a first working version.