Tailor Made Solutions

Extraction of Collection Data (NER Model)

Our NER model can extract private information from insurance companies' data, ensuring accurate and secure processing, which helps streamline and speed up their collection processes.

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Information Capture of Customer Forms via OCR

OCR (Optical Character Recognition) solution can ensure the readability of computer printouts and digital writings on customer forms for corporate clients. It extracts information, detects signatures, and verifies required text, ensuring accurate and complete processing.

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Grammarly Editing of Speech-to-Text Translations

The project can organize texts produced by our speech-to-text model according to grammar rules, making them more understandable and compliant. This enhances their usability in customer services and call center operations.

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Feature Extraction and Scoring via Free Text

The NER (Named Entity Recognition) model can extract features from free text for analysis, aiding future decisions. This supports making informed decisions by providing detailed and accurate insights into data, enabling the identification of relevant trends and patterns.

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Customer-Specific LLM Developments

Developing customer-specific LLMs to provide customized answers, automatically responding to user questions and making customer service processes more efficient. These models are optimized for specific needs, offering immediate and accurate information.

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Text Summarization Models

The models, developed to summarize information entered by users and employees, make sense of large data sets and quickly highlight key information.

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