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Document AI

Turning document-heavy workflows into structured data.

Regulatory filings, feasibility studies, insurance claims, lab results. We build systems that read dense documents, extract what matters, and generate the outputs your process actually needs — with the audit trail to back it up.

What this covers

The whole surface, not the headline.

Ingestion & capture

  • Scan, photo and native PDF intake
  • Deskew, crop, denoise and contrast enhancement
  • Multi-page and multi-document splitting
  • Handwriting and low-quality source handling
  • Arabic, English and mixed-script documents
  • High-volume batch and API intake

Understanding

  • Document classification and routing
  • Layout analysis — tables, forms, columns, footnotes
  • Key-value and line-item extraction
  • Entity recognition against your own vocabulary
  • Cross-reference resolution between documents
  • Summarisation of dense technical and regulatory content

Structuring & output

  • Extraction into a validated schema
  • Population of downstream forms and sheets
  • Formula application so calculations derive from source
  • Standardised report and study generation
  • Export to ERP, CRM and case management systems
  • Structured output with per-field provenance

Verification

  • Confidence scoring per extracted field
  • Human-in-the-loop review queues
  • Side-by-side source and extraction comparison
  • Validation rules and arithmetic checks
  • Benchmarking against standards and frameworks
  • Full audit trail from output back to the source page

Automation

  • Straight-through processing above a confidence threshold
  • Exception routing to the right reviewer
  • Approval workflows on extracted content
  • Notification and status tracking
  • Scheduled and event-driven processing
  • Reprocessing when a template or rule changes

Deployment & control

  • Self-hosted and in-region processing for residency rules
  • Redaction and PII handling
  • Retention policies and secure deletion
  • Role-based access to documents and extractions
  • Throughput and cost monitoring
  • Accuracy tracking as document formats change
Delivered

4 projects built on this.

AI Document System — AI feasibility analysis, extraction and document generation for Dubai Municipality
Flagship

AI Document System

Dubai MunicipalityGovernmentUAE

AI feasibility analysis, extraction and document generation for Dubai Municipality

Reads third-party and internal feasibility documents, fills the financial sheets and forms that follow, and checks the result against ISO, WHO and other international standards.

AI/LLMsPythonFastAPI
Read case study
AI Construction Estimator — Construction takeoff and bidding from architectural PDFs, in minutes
Flagship

AI Construction Estimator

Multi-client programmeConstructionGlobal

Construction takeoff and bidding from architectural PDFs, in minutes

Reads architectural PDFs, detects the scale on its own, measures only the trade you work in, and returns quantities, labour hours and a bid — then pushes the work into your CRM.

Computer VisionDocument AIDeep Learning
Read case study
Omnicheck — AI health report generation and lifestyle optimisation

Omnicheck

Swiss healthcare partnerHealthcareSwitzerland

AI health report generation and lifestyle optimisation

Turning user health inputs into comprehensive personalised reports covering microbiome, hormonal balance and lifestyle.

AI/LLMsData AnalyticsReact
Read case studySee Omnicheck live
Curasend — Insurance document capture and submission

Curasend

CurasendHealthcareGermany

Insurance document capture and submission

A mobile app that scans, cleans up and submits insurance documents in three taps.

React NativeNext.jsPython
Read case study
How we deliver it

The same five stages, every engagement.

01

Discover

We map how the work actually flows today — the handoffs, the workarounds, the spreadsheet nobody admits to. That map, not the org chart, is what we build against.

02

Architect

We design the system end to end before writing production code: data model, integration surface, failure modes, and what happens when the model is wrong.

03

Build

Agile delivery in small teams, working to a documented process. Short cycles, working software, and no six-month gap between kickoff and something you can use.

04

Deploy

Into your environment, against your compliance requirements, with the monitoring and audit trail a regulated operation needs from day one.

05

Operate

Systems drift. We stay on to retrain models, watch the metrics that matter, and keep the thing working after the launch photo.

Bring us the problem.
We will tell you what it takes.