- Industry: Finance
- Headquartered:
- Platforms: Fast API, Python, NLP Model, OCR, Elasticsearch, Nginx
- Team Size: 3
The Client
The client is revolutionizing the insurance industry with a modern approach that integrates insurance, technology, and investment expertise. Their mission is to enhance the insurance value chain through innovative technology and services, aiming to reduce costs, increase value, and improve experiences for partners and customers. By bridging gaps and leveraging cross-disciplinary teams, they develop cutting-edge solutions and serve as the first customer, ensuring comprehensive, end-to-end solutions for the industry.
The Challenge
The client needed help with the inefficiencies of manually searching through a substantial volume of scanned documents and images, significantly hindering productivity and slowing down access to critical information. This manual process was not only time-consuming but also unreliable, impacting the client's overall operational efficiency
They needed a solution to automate the search process by extracting text from scanned documents and images, ensuring that valid information could be efficiently indexed and accessed whenever needed, ultimately improving their document management and accessibility.
The tech we used for our solution
Our software architects and engineers are experts in using the latest technologies.
- Fast API
- Python
- NLP Model
- OCR
- Nginx
The Solution
We implemented a comprehensive solution that combined OCR functionality, a custom NLP model, and Elasticsearch to overcome the document searching challenges. The OCR functionality was deployed to extract text from scanned documents and images, and a bot was developed to automate periodic OCR processing, ensuring continuous extraction and preparation of text data for indexing.
The custom NLP model, designed using the BERT transformer architecture, was trained specifically to identify and extract relevant information from the extracted text. This information was then indexed with Elasticsearch, creating a powerful search capability that allowed for rapid and accurate retrieval of documents, significantly improving the efficiency and effectiveness of the client's document management processes.
Here’s how we did it
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The solution effectively processed files that exceeded several gigabytes in size, demonstrating its robust scalability and operational efficiency in handling large volumes of data.
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Users were able to perform targeted searches across the extracted index data, with direct access to document links, significantly enhancing the accessibility and retrieval of relevant information.
Check out our
success stories
Client Testimonials
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I wanted to take a moment to highlight and commemorate the efforts from our dedicated PIO team. To preface, the projects we work on here are complex, with rigid objectives, budgets, and timelines. Expectations are always high and are ever-changing. From the start of our relationship, the IO team was able to exceed expectations and make our business wishes a reality.
‐ Project Manager -
Over the past year I have worked with them, they have worked very hard to understand our highly customized system and troubleshoot things with little or no documentation while managing to keep the business up and running normally. Without the hard work and dedication they have shown, I know we would have had some issues causing downtime or lost production. I am looking forward to continuing working them in the next year as well.
‐ Information Technology Supervisor -
I have been working with Programmers IO for more than 5 years now and I have been pleased with all projects and developers that I have worked with. We have had a few issues here and there but they have always fixed and made it right. They have been an excellent addition to our business.
‐ Director Of Development
Ken Stewart, PMP, CSM
Vice President Of Operations & Engineering
PSIGEN Software INC.
Brandy Churchill
Software Development Manager
Western National Insurance
Jackie Flummer
Director, Technical Business Systems
AmerCareRoyal
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