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Unlocking Melingo AI's Power: Discover Its Impressive Features
Melingo AI can help any organization that seeks to transform raw textual information into structured data quickly and easily, to obtain insights or automatic classifications.
Financial institutes
Healthcare services
Contact centers
Government
Insurance companies
Security and intelligence institutes
Melingo AI can classify messages to the right banker for fast and efficient service, analyze surveys, extract financial entities from texts (names of companies, stock tickers, financial parameters like revenue, profit, P/E, etc.), identify sentiment in reports (e.g., challenging, disappointing), segment financial reports and more. Everything can be fine-tuned in the financial domain.




Melingo AI extracts generic medical entities in texts: medications, symptoms, conditions, diseases, etc. Other options in healthcare services can be improvement of measurements and quantities, segmentation and analysis of medical reports and more, while fine-tuning the models to the medical domain.




Transcription of calls and classification into subjects can simplify managing calls: searching for calls by subject, looking for the most frequent subjects, monitoring urgent calls, identifying business opportunities, etc. The ability to classify emails or other written contact requests allows fast and accurate automated responses.





Government offices can benefit from Meligno AI search plug-in for accurate morphological search in
Hebrew and Arabic in their websites, to ease on citizens to find what they need. Another option can
be to classify documents to the right office or department that need to handle them.





Melingo AI can help improve the search of documents, forms and other pieces of information in the company’s website, supply automatic replies for customers leaving a “contact us” message, provide classification of texts and extraction of entities for further drill down of the classification.

For the security and intelligence institutes field Melingo AI can offer anonymization of sensitive data, for example when documents need to be sent outside the organization, as well as other options like identifying sensitive content, sorting of documents, entity extraction and more.




