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Utilizing Machine Reading Comprehension
Using our Machine Reading Comprehension API, agents can also search the company documentation for answers.
It will find then find the correct response on the sentence level and display the relevant paragraph.


Maximum Productivity
Businesses get millions of questions from customers. Over half of those are “how to” questions, many of which are answered in documentations. But customers rather not do something that takes time and effort, like reading instructions, manuals, FAQ documentats. It’s very frustrating and expensive to businesses.
Allganize’s Natural Language Language AI answers questions from customers and employees without any manual unput or training
Schedule a DemoComplete Process Automation
Most business analyze customer reviews and tickets 100% manually. The results are poor and costly.
Allganize automates the categorization and analysis of text data and many workflows with Natural Language Understanding AI.
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Meet our Product
Alli is a conversational AI pre-trained for your domain and automates your FAQ to execute actions that your users really care about
Q&A API returns the most accurate candidates even with misspelled words and completely different expressions.
Customers can ask questions and MRC API finds the answer directly from the documents.
NER API extracts meaningful keywords for any text descriptions. It’s being used for automatic tagging of keywords and the better AD targeting.
This API automatically converts user’s natural language review data to measurable metrics.
This API can be used to automatically classify customer support log to ‘Satisfied’ and ‘Unsatisfied’ to gain customer support insights.
Text Classification API classifies text data to specific categories such as shipping, service, product quality and etc.
API summarizes long passages. It is often used by media and content providers.