Data, Analytics & Knowledge
Find the one document that actually has the answer
Your contracts, policies, manuals and old emails are sitting in folders nobody can search properly. We build retrieval that reads Arabic and English the same way, and answers with a page reference instead of a summary you have to double-check.
2 to 4
weeks to a working first version
2
languages indexed the same way, Arabic and English
24/7
search available across your document store
The direct answer
Enterprise search is a retrieval layer over your own documents, contracts, policies, manuals, correspondence, that lets staff ask a question and get an answer with a citation to the exact file and page it came from. It reads Arabic and English documents the same way, so nothing gets skipped because it was scanned or filed in Arabic. Built for teams where the right document exists somewhere, but nobody can find it fast enough to matter.
What this removes.
Arabic documents get skipped
Today
Search tools built for English either miss Arabic files entirely or return garbage on scanned Arabic text.
With the system
Arabic and English are indexed the same way, so a scanned Arabic contract shows up just as reliably as an English one.
The answer exists, nobody can find it
Today
The clause you need is in a contract from three years ago, buried in a folder with four hundred other PDFs.
With the system
You ask the question in plain language and get the clause, with the file name and page number attached.
Search returns a list, not an answer
Today
A folder search returns forty files matching your keyword and you still have to open each one to check.
With the system
You get a direct answer with the source cited, so you check one page instead of forty documents.
No record of who searched what
Today
Sensitive documents get opened and searched with no log of who looked at what or when.
With the system
Every query and every document surfaced is logged, so an audit has a real trail instead of a shrug.
What lands in your hands.
Document ingestion pipeline
PDFs, Word files, scanned images and spreadsheets parsed, chunked and indexed on a schedule.
Arabic-native OCR and retrieval
Scanned Arabic and English documents both extracted and indexed with the same pipeline, not a bolted-on translation step.
Cited answer engine
Every answer names the source file and passage. If confidence is low, it says so instead of guessing.
Permission-aware access
Tied to your existing folder or directory structure, so search only surfaces what that user is already cleared to see.
Storage connectors
Connects to SharePoint, Google Drive, a local file server, or your ERP's document store directly.
Query and access logging
Every search and every document surfaced is logged for audit and PDPL data-subject requests.
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 review3 to 5 days
- Ingest and index1 to 2 weeks
- Permissions and access rules3 to 5 days
- Deploy2 to 4 days
- Live operation and supportongoing
Scope and document review
3 to 5 days
We look at where your documents actually live, which formats and languages are involved, and agree what the first search scope covers.
- Point us to the folders or systems in scope
- Share a sample of typical questions staff ask
- A written scope of the document set
- A read on file volume and language mix
We move on when we agree in writing what document set the first version covers.
Ingest and index
1 to 2 weeks
We parse and index the document set, Arabic and English together, and connect it to whichever storage system holds the files.
- Grant read access to the document store
- Flag any documents that need to be excluded
- An indexed, searchable document set
- A working search interface for testing
We move on when a test search against your sample questions returns the correct document and page.
Permissions and access rules
3 to 5 days
We map search results to your existing permission structure, so a user only ever sees what they're already cleared to see.
- Confirm who should see which document sets
- Sign off on the access rules
- Permission-aware search wired to your directory
- A tested access matrix
We move on when test searches by two different roles return two different, correctly scoped result sets.
Deploy
2 to 4 days
Search goes live for your team, monitored closely for the first days to catch anything the pilot didn't surface.
- Approve the final search interface
- Notify staff the tool is live
- Live search across the agreed document set
- Early query logs for review
We move on when the search tool has handled a full week of real staff queries without a permissions or citation error.
Live operation and support
ongoing
We keep the index current as documents are added, changed or removed, and expand the document set as you ask for more coverage.
- Flag new document sets to add
- Review periodic search-usage summaries
- Ongoing index updates as your documents change
- A summary of what staff are actually searching
We move on when not applicable, this stage continues for as long as you run the search system.
Asked before signing.
What does an enterprise search project cost?
It depends on document volume, how many languages and formats are involved, and whether you need permission-aware access tied to an existing directory. A single-language, single-source deployment costs less than one spanning scanned Arabic archives plus an ERP document store. We give you a fixed number after seeing your document set, not before.
Does it actually handle scanned Arabic documents?
Yes, that's a core requirement, not an add-on. Scanned Arabic contracts, invoices and correspondence go through OCR built for Arabic script and get indexed the same way as native digital files. We test this against your actual documents before launch.
What happens to our documents and search data?
Everything runs against your own storage, on infrastructure we set up for you, in line with PDPL. Your documents are never used to train an outside model. Search and access logs are yours, kept for audit purposes, not shared or resold.
Can it search inside our existing ERP or CRM?
Yes, if it exposes a document store or file API. We've connected to SharePoint, Google Drive and ERP document repositories directly. It only searches content the connected system already grants access to, we don't copy your files elsewhere.
Stop searching folders for an answer you already have somewhere
Tell us where your documents live and what your team actually needs to find, and we'll show you what cited, bilingual search looks like on your own files.