OCR Central Orchestration
Multilingual OCR
LLM Orchestration
Enterprise Document Processing
Cloud Based Systems
Project Summary
A horizontal AI-driven multilingual OCR platform that ingests documents from SharePoint and intelligently processes them using multiple AI models. It automatically categorizes content, selects optimal OCR engines, unifies outputs, and stores structured results with metadata. With dashboards for monitoring, comparison, and dynamic model selection, the platform delivers high-accuracy text extraction across diverse document types, languages, and layouts, reducing manual effort and enabling scalable, enterprise-wide document understanding.
Business Impact
  • Improved OCR accuracy | Reduced manual effort | Scalable and future-proof solution | Enhanced data reliability | Faster document processing
Business Requirements
  • Handle diverse document types | Extract multilingual content accurately | Scale for large document volumes | Reduce manual data entry | Ensure reliable and structured outputs
Delphi Solutions
  • Automated document ingestion | Multi-model OCR processing | Intelligent orchestration engine | Unified output structuring | Evaluation and benchmarking framework | Web-based monitoring dashboard
Challenges
Understanding the Challenges
Enterprises struggled with slow, manual, and error-prone document processing across multiple languages and formats.
Diverse Document Complexity
Financial and investment firms faced challenges handling various document types, layouts, and multilingual content.
Manual and Inefficient Extraction
Data entry and text extraction required significant human effort, leading to errors and delayed workflows.
Limited Scalability and Monitoring
Existing processes lacked automation, structured outputs, and visibility for high-volume document processing.
SOLUTION
Crafting Tailored Solutions
A horizontal AI-driven OCR platform was developed to automate multilingual document processing and deliver structured, scalable insights.
Automated Document Ingestion
Seamlessly ingests documents from SharePoint and prepares them for AI-driven processing.
Multi-Model OCR and Orchestration
Selects optimal OCR engines per document and unifies outputs for accurate text extraction.
Structured Outputs with Monitoring
Stores results with metadata and provides dashboards for performance tracking, evaluation, and benchmarking.
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OCR Central Orchestration

Industry

Multilingual OCR
LLM Orchestration
Enterprise Document Processing
Cloud Based Systems

Location

Multilingual OCR
LLM Orchestration
Enterprise Document Processing
Cloud Based Systems

Technology

Multilingual OCR
LLM Orchestration
Enterprise Document Processing
Cloud Based Systems

Project Overview

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Challenges

Understanding the Business Requirements

Enterprises struggled with slow, manual, and error-prone document processing across multiple languages and formats.

Diverse Document Complexity

Financial and investment firms faced challenges handling various document types, layouts, and multilingual content.

Manual and Inefficient Extraction

Data entry and text extraction required significant human effort, leading to errors and delayed workflows.
SOLUTIONS

Understanding the Impact

A horizontal AI-driven OCR platform was developed to automate multilingual document processing and deliver structured, scalable insights.

Automated Document Ingestion

Seamlessly ingests documents from SharePoint and prepares them for AI-driven processing.

Multi-Model OCR and Orchestration

Selects optimal OCR engines per document and unifies outputs for accurate text extraction.

Structured Outputs with Monitoring

Stores results with metadata and provides dashboards for performance tracking, evaluation, and benchmarking.
IMPACT

Understanding the Impact

CASE STUDIES

Our Exclusive Projects

OCR Central Orchestration

A horizontal AI-driven multilingual OCR platform that ingests documents from SharePoint and intelligently processes them using multiple AI models. It automatically categorizes content, selects optimal OCR engines, unifies outputs, and stores structured results with metadata. With dashboards for monitoring, comparison, and dynamic model selection, the platform delivers high-accuracy text extraction across diverse document types, languages, and layouts, reducing manual effort and enabling scalable, enterprise-wide document understanding.
Multilingual OCR
LLM Orchestration
Enterprise Document Processing
Cloud Based Systems
Read More

Argus QA

The AI Quality Assurance platform is an intelligent validation system designed to evaluate and monitor the performance of AI solutions. It assesses modular components and complete AI systems—including RAG and standalone models—across key quality metrics such as accuracy, hallucination, relevance, toxicity, faithfulness, and bias. With features like prompt evaluation, execution tracking, and interactive dashboards, the platform ensures reliable, transparent, and consistent AI performance throughout development and deployment.
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