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Coforge Quasar's Document AI empowers you to effortlessly handle large volumes of text data with speed and precision. Our advanced system allows you to extract, standardize, and analyze data from multiple sources, such as handwritten documents, PDFs, image PDFs, images, and HSON. Document AI is compatible with 22 languages, enabling you to transform varied data into a unified template according to your preference.

Unlock a multitude of applications, including Document Clustering, Topic Extraction, Sentiment Analysis, Financial Data Management, and the management of Legal and Contract files. This entire process is supported by an intuitive user interface, ensuring a swift and user-friendly experience for all users.

By utilizing our state-of-the-art technology, you can efficiently oversee and analyze intricate textual information, providing you the means to make well-informed, data-driven decisions effortlessly.

HOW WE TRANSFORM

Industry Applications

Intelligent Document Processing
Intelligent Document Processing

Intelligent Document Processing is leveraged in the industry to efficiently extract diverse contract data, including handwritten notes, from various file types. Utilizing NLP and ML, it achieves near-perfect accuracy, transforming complex textual information into structured insights, enabling informed decisions and revolutionizing contract data management.

Sentiment Analysis
Sentiment Analysis

In the financial services industry, operations revolve around extensive financial and legal documents like annual and research reports. Financial sentiments provide a precise insight into industry segments. Sentiment and Financial Analysis simplifies these documents, extracting crucial elements and creating highlights for enhanced comprehension.

Mortgage Underwriting Automation
Mortgage Underwriting Automation

Intelligent Document Processing streamlines the industry by extracting vital data and categorizing documents from complex mortgage documents. It separates diverse documents like forms, balance sheets, and agreements. Key fields, such as income and down payment confirmations, are efficiently extracted, enhancing data accuracy, and simplifying document management.

Investment Restriction Analysis
Investment Restriction Analysis

Insurance brokers use emails to initiate coverage requests, sharing detailed insured information and underwriting requirements. Intelligent Document Processing automates the extraction of relevant data from emails, attachments, and related elements, streamlining underwriting by efficiently gathering information from various sources.

Quasar eBOL
Quasar eBOL

Coforge has launched Quasar eBOL, giving carriers the unparalleled ability to streamline and automate the entire billing process, while reducing errors and rework. Developed using open-source technology, Quasar eBOL is architected for deployment flexibility as an open API solution which works in both online (cloud) and offline (edge) scenarios.

Information Extraction
Information Extraction

Utilizing advanced deep learning models, the process of recognizing and isolating components like valves, pipeline codes, pipelines, inlets, and outlets is significantly improved. This augmentation significantly strengthens the system's capability in detecting various symbols accurately.

Intelligent AI (Mining) algorithms to optimize business processes
Intelligent AI (Mining) algorithms to optimize business processes

Intelligent mining algorithms like Alpha, Heuristic, Inductive, and Correlation Miner are harnessed alongside visual analytics. This blend empowers the discovery, monitoring, and optimization of business processes, leveraging cutting-edge AI-driven methodologies.

Compliance Workbench - Intelligent Investment Guidelines Processing

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Compliance Workbench - Intelligent Investment Guidelines Processing
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AI driven Air Waybill (AWB) recognition

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AI driven Air Waybill (AWB) recognition
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Enabling paperless operations in logistics

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Enabling paperless operations in logistics
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Enabling paperless operations in logistics - Part 2

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Enabling paperless operations in logistics - Part 2
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