DocuGrid

DocuGrid:A headless, containerized, API-first engine that makes document archives understand what they hold - including spatial intelligence bound to real-world coordinates.

Product - AI Document Understanding Engine

What it is

DocuGrid is an AI document understanding engine for construction and government, delivered as a headless, containerized, API-first product designed to be embedded inside existing systems rather than replacing them. DocuGrid is the intelligence layer that makes document archives, CDEs, and records management systems understand what they hold, not just store it.

The problem it solves

Construction and government organizations accumulate massive volumes of documents: drawings, contracts, correspondence, permits, scans of handwritten records, spatial data, and more. Existing systems store these documents but cannot understand them.

Finding information requires manual search. Extracting structured data requires human effort. Cross-referencing spatial and textual content is nearly impossible at scale.

Core Capabilities

What it does

Document Ingestion and OCR

Processes any format including scanned images, handwritten records, PDFs, and structured files. Handles complex layouts, multi-column text, and mixed content.

Named Entity Recognition

Ships with a comprehensive default schema configurable to any domain. Per-call API overrides extend or adjust entity extraction without code changes.

Spatial Extraction with Geographic Binding

Map text is bound to actual geographic coordinates in the customer's chosen coordinate reference system using EPSG coding - suitable for cadastral archiving and land records.

Semantic Search

Natural language querying across the full document corpus. Users find information by meaning, not by exact keyword match.

Human-in-the-Loop Validation

Structured workflows for human reviewers to validate, correct, and approve AI-extracted outputs before they enter downstream systems.

Pluggable Model Architecture

Run vision and language models locally via Ollama or vLLM, or remotely via Gemini Pro 2.5 or OpenRouter. Air-gap deployable for data-sovereign contexts.

Docker-Native Deployment

Runs on existing customer hardware. No cloud dependency required. Air-gap deployable for sensitive government environments.

How it flows

From input to outcome

  1. 01

    Ingest

    Any doc, any format

  2. 02

    OCR

    Print + handwritten

  3. 03

    Extract

    Named entities

  4. 04

    Geo-bind

    EPSG coordinates

  5. 05

    Search

    Semantic queries

Deployment Model

Delivered as a perpetual license with clean IP separation. The customer's archiving or CDE system remains the system of record. DocuGrid is the intelligence layer behind it - EMEA Contech does not touch the archive and does not own the customer data.

Outcomes

What you get

  • Structured, georeferenced results from any document corpus
  • Significant reduction in manual document processing effort
  • Searchable, queryable archives that previously required manual retrieval
  • Spatial intelligence unlocked from text-based records
  • Clean integration into existing systems through REST API

By the numbers

What this delivers

API-first

Headless, embedded in your stack

EPSG

Real-world geographic binding

Any

Format, layout, language

Air-gap

Deployable on customer hardware

Target Clients

Who it's for

Government ministries managing land and cadastral records, municipal archiving authorities, construction project owners seeking document intelligence across large project portfolios, and any organization embedding AI document understanding into an existing platform.

Positioning

In one line

DocuGrid turns document archives into living knowledge. Files go in; structured, spatially-bound, semantically searchable intelligence comes out.

Where it lives

The asset lifecycle

  1. 01

    Plan

  2. 02

    Build

  3. 03

    Handover

  4. 04

    Operate

Get in Touch

Talk to us about DocuGrid

Email us at info@emeacontech.com or send a message and our team will get back to you shortly.