enLanguage flag

Tailor Made Solutions

Extracting and categorizing key information from vast collections of unstructured data is a time-consuming and complex task. Without an efficient process, businesses may struggle to gather critical insights, leading to delays in data analysis and decision-making.

Problem Image
Solution Image

Our Extraction of Special Fields of Free Text service utilizes advanced Named Entity Recognition (NER) models to automatically identify and categorize key entities from unstructured data. This automation streamlines the extraction process, enabling businesses to efficiently gather essential information.

Enhance Data Analysis Capabilities

Automating the extraction process through this solution significantly boosts data analysis capabilities. By converting data efficiently and accurately, businesses can gain deeper insights into their operations and customer interactions.

Make Informed Decisions Quickly

With faster access to data, businesses can make well-informed decisions without delay. This prompt decision-making process ensures that companies can respond to market changes and customer needs in a timely manner.

Improve Operational Efficiency and Gain a Competitive Edge

The automation provided by this solution not only improves operational efficiency by reducing manual tasks but also offers a competitive edge through timely and accurate data insights. This allows companies to stay ahead in their industry by leveraging data-driven strategies.

  • Insurance

    In the insurance industry, our service develops LLMs that are adept at interpreting complex insurance policy language and terminology. These customized models can provide clear, accurate explanations of policy details, coverage options, and claims processes to customers. By improving the ability of AI to understand and respond to specific insurance-related queries, companies can enhance customer satisfaction, streamline support operations, and reduce the need for human intervention in routine inquiries. This leads to faster resolution of customer issues and more efficient policy management.

  • Banking

    In the banking sector, the service plays a critical role in managing and analyzing extensive financial documentation. By identifying and classifying key customer information—such as account numbers, transaction details, and compliance-related data—banks can streamline their regulatory reporting processes and ensure timely compliance with financial regulations. This automation not only reduces the burden of manual data entry but also minimizes the risk of non-compliance, enabling banks to maintain accurate records and make informed decisions with greater confidence.

  • Telecommunications

    For telecommunications companies, extracting relevant data from customer interactions is essential for enhancing service quality and support efforts. Our service identifies and categorizes key entities within customer communications, such as service requests, complaint details, and feedback. This allows telecom providers to respond more effectively to customer needs, improve the resolution of issues, and tailor their services based on data-driven insights. As a result, companies can boost customer satisfaction, reduce churn rates, and strengthen customer loyalty.

Call You

Share your contact information with us and we will call you

Resources

Legal

Socials

All right reserved @2024 NeviTech