✦Service
Documents in. Clean data out.
Most businesses still retype data from PDFs, scans and emails. We build document pipelines that read invoices, forms, IDs, bills of lading and contracts, extract the fields you need, check them against your records and business rules, and send only the exceptions to a person for review.
01What we build
What you get.
- 01
Extraction pipelines
OCR plus language models that pull fields, tables and line items from PDFs, scans, photos and email attachments.
- 02
Validation rules
Checks against purchase orders, tax IDs such as GSTIN or VAT numbers, totals and master data, with clear reasons when something fails.
- 03
Review workspace
A simple screen where staff see the document beside the extracted data and correct or approve flagged items.
- 04
Contract and policy review
Clause extraction, comparison against your standard terms and summaries for legal or procurement teams to confirm.
- 05
System export
Clean output into your ERP, accounting software, spreadsheets or database through APIs or scheduled files.
02Use cases
Where it pays back.
- 01
Accounts payable
Read supplier invoices in varied layouts, match them to POs and goods receipts, and route mismatches for approval.
- 02
Logistics and trade
Extract data from bills of lading, packing lists and customs documents to cut manual entry at the desk.
- 03
Insurance and lending
Pre-check claim or loan documents for completeness and consistency before an underwriter looks at them.
- 04
Healthcare administration
Digitise referral letters, forms and lab reports into structured records for staff to verify.
- 05
Legal and compliance
Find key clauses, dates and obligations across contract archives and flag deviations from your playbook.
03Process
How we build it.
- 1
Collect samples
We gather a representative set of your real documents, including messy scans and unusual layouts.
- 2
Define fields and rules
Together we list the fields to extract, the checks to run and what counts as an exception.
- 3
Measure accuracy
We build the pipeline and measure field-level accuracy on documents it has not seen, then tune it.
- 4
Integrate and review
We connect it to your systems with a review queue, and track accuracy and exceptions after go-live.
Typical stack
- Tesseract / PaddleOCR
- Azure Document Intelligence
- AWS Textract
- Google Document AI
- OpenAI / Claude / Gemini APIs
- Python / FastAPI
- Postgres
- Next.js
04Where we work
Teams we work with.
- Dubai & UAEAI chatbots, agents and automation for businesses in Dubai and the UAE — Arabic and English assistants, WhatsApp-first, delivered remotely in your working day.
- Europe & UKAI agents, RAG search and automation for UK and EU companies — privacy-first design with GDPR and the EU AI Act in mind, EU data residency, many languages.
- USAAI agents, copilots and apps for US startups and enterprises — security-minded engineering, HIPAA-aware design and async delivery across US time zones.
- IndiaAI chatbots, document automation and apps for Indian businesses — GST-ready invoice processing, Indian-language WhatsApp bots and DPDP-aware design.
05FAQ
Common questions.
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01How accurate is AI document extraction?
It depends on document quality, layout variety and the fields involved. Clean digital invoices usually extract very well; faded scans and handwriting are harder. We measure accuracy on your own documents during the pilot and send low-confidence fields to human review instead of guessing.
02Does it work with scanned and handwritten documents?
Scans and phone photos work well with modern OCR. Handwriting is possible for simple fields but less reliable, so we usually keep a person in the loop for those. We test on your real samples early, so you know what to expect before committing.
03Can it handle different invoice formats from many vendors?
Yes. Language-model-based extraction does not need a fixed template per vendor, which makes it much easier to handle varied layouts. When a vendor changes its format, the review queue catches issues and we update the pipeline.
04Where are our documents processed?
We can run the pipeline in your cloud account and chosen region, and use providers that offer regional processing. Retention and access are configured with your team, and we design with GDPR, UAE PDPL or India's DPDP Act in mind alongside your compliance advisers.
05Which systems can the data go into?
Common targets include Tally, Zoho Books, QuickBooks, Xero, SAP, Odoo, Google Sheets and custom databases. If a system has an API or accepts file imports, we can usually connect to it.
06More services
Other things we build.
Have a process worth automating?
Tell us about it — we'll reply with how document intelligence could handle it, what data it needs and a rough plan. The first conversation is free.