Case Study 01

Azeru

Intelligent Document Intelligence Platform

Overview

Azeru leverages advanced computer vision and NLP to transform unstructured documents into actionable insights with high precision.

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The Challenge

Manual data entry and error-prone document processing were slowing down financial institutions. They needed a way to extract complex data from thousands of varied forms instantly.

Legacy System Latency
architecture

The Solution

We built a custom Golang OCR and semantic analysis engine that learns from document structures, combined with a high-performance Next.Js dashboard for real-time validation.

psychology Neural Structure Recognition
speed Real-time Validation Loop

Technical Foundry

The Stack that Powers Precision

neurology
Framework

Golang

developer_board
Interface

Next.js

database
Runtime

Golang/Gin

cloud
Extraction

Ollama

deployed_code
DevOps

Docker

Key Results

Measured Excellence.

85%

Reduction in processing time

99%

Accuracy in extraction

50+

Supported document types

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