Transforming Document Data Extraction with AI-Powered Automation
Client Overview
A leading digital middle office solutions provider specializing in real estate and private equity, focusing on building innovative solutions for virtual data management, data integrity, and security. The company’s core strength is enabling businesses to efficiently manage and secure data across complex transactions, ensuring the highest compliance standards and operational excellence.
With a growing client base in the real estate and private equity sectors, they are known for their cutting-edge technology and commitment to simplifying data processes.
Manual and Complex Data Extraction from Unstructured, Tabular Documents
The client was committed to improving operational efficiency and enhancing data quality to provide better insights and faster decision-making for their stakeholders. In the face of increasingly intricate and varied document types, they sought to transform their document data extraction process into a fully automated, intelligent system.
Client Requirements:
Automate Data Extraction Across Complex Documents
Implement a solution capable of extracting relevant data from multiple document types, including asset valuation reports, real estate assessments, and venture contracts, while managing varying complexities.
Enhance Data Quality and Accuracy
Develop a system that ensures high data quality and accuracy, reducing manual intervention and the risk of errors in the extracted data.
Streamline Document Processing
Automating the extraction of key fields like dates, values, and partnership details can reduce the time and effort involved in manually parsing large, unstructured documents.
Ensure Scalability for Growing Data
Create a scalable solution capable of handling an expanding volume of documents while maintaining efficiency and precision.
Integrate Advanced AI for Document Understanding
Leverage AI and machine learning models to improve the extraction process, ensuring contextual understanding and more accurate data extraction from tables, text, and scanned documents.
Improve Operational Efficiency and Cost Savings
Reduce the overall operational cost and time-to-insight by automating processes and eliminating manual data extraction efforts.
Support Future Growth
Design a flexible and adaptive system that can evolve with future business requirements and easily handle increasingly complex documents.
AI-Driven Backend Solution for Automated, Accurate Data Extraction Across Multiple Document Types
Indium developed a cutting-edge solution using AWS technologies to automate and streamline the data extraction process. The solution involved:
Backend APIs Powered by AWS Environment
Developed a robust backend using AWS Bedrock to support custom code solutions for document parsing. This solution was tailored to handle various document types and complexities in real-time.
Generative AI Solution for Document Parsing
Leveraged advanced Generative AI techniques to improve the accuracy and efficiency of data extraction. This AI solution was designed to handle unstructured and semi-structured data across various document types.
Document Extraction Pipelines
Each document type followed a separate extraction pipeline to cater to specific field data needs. These pipelines ensured that all data points, such as appraised values, partnership data, names, dates, and other key attributes, were accurately extracted from tables and text blocks.
Foundation Models & AI Tools
Utilized OpenSearch and FAISS for fast and efficient search capabilities across large volumes of data.
Incorporated Titan and Cohere, two powerful foundation models, with advanced Retrieval-Augmented Generation (RAG) techniques to enhance the accuracy of data extraction and contextual understanding.
Employed AWS Textract for scanned documents, ensuring accurate text extraction from images or PDFs.
Data Quality (DQ) and Filtering
Implemented robust data quality checks throughout the pipeline to ensure the accuracy of the extracted data. Various filtering techniques were employed to validate and refine the outputs, ensuring that only the most reliable data was returned.
Breaking Free from Manual Processing: The Power of AI Automation
87% Accuracy
Achieved high accuracy across all document types, ensuring that extracted data was reliable and actionable.
700x Reduction in Manual Effort
Extracting data from documents manually once took days, but now it takes mere hours, leading to a dramatic reduction in manual labor and human error.
4x Cost Savings
The client significantly reduced operational costs by automating the data extraction process, particularly in labor-intensive document handling and data processing tasks.
About Indium
Indium is an Al-driven digital engineering company that helps enterprises build, scale, and innovate with cutting-edge technology. We specialize in custom solutions, ensuring every engagement is tailored to business needs with a relentless customer-first approach. Our expertise spans Generative Al, Product Engineering, Intelligent Automation, Data & Al, Quality Engineering, and Gaming, delivering high-impact solutions that drive real business impact.
With 5,000+ associates globally, we partner with Fortune 500, Global 2000, and leading technology firms across Financial Services, Healthcare, Manufacturing, Retail, and Technology-driving impact in North America, India, the UK, Singapore, Australia, and Japan to keep businesses ahead in an Al-first world.
