Azure AI Language vs. Lang.ai

Best suited for large organizations, availability of usage of more than one language in a specific API call. Moderately suited for small and mid sized organizations as the pricing is on a higher end

Incentivized

I've been using Lang.ai in my business for a few months now and it's been great. It's especially useful in scenarios where I need to quickly process large amounts of data, such as customer surveys or sales reports. It can handle text, numbers and images really well. For more complex tasks like natural language processing, Lang.ai is also a great choice.

Incentivized

• The data is pre configured that means the AI models that are used by features are not customizable. One needs to send data and have to use the output of the feature in our application
• Availability of customizations in order to adjust some specific requirements
• Availability of Language studio so that one can avoid coding

Incentivized

• Great auto-tagging
• Improved tagging structure and system
• Efficient notes and organisation

Incentivized

• The application is hard to use for new users
• Data Integration is complex in nature
• For Mid - sized organizations, the pricing is on higher end

Incentivized

• More customization options when creating my own chatbot
• Better integration with other platforms like Slack
• The natural language processing accuracy could be improved to provide more accurate results in certain contexts.

Incentivized

We haven't used other products. Our experience with Azure, whilst not meeting our needs this time around, was positive, educational and insightful. This was the first time that we had considered using an AI tool to manage and manipulate our data and we were unsure of the capabilities.

Incentivized

I recently compared Lang.ai with Glassbox, GetFeedback, and Watson Studio by IBM. I found that Lang.ai is the most comprehensive AI-based platform for automated customer feedback analysis. It has features like natural language processing, sentiment analysis, and emotion detection which are not available on the other platforms. Furthermore, Lang.ai's user interface is intuitive and easy to use, making it my top choice for automated customer feedback analysis.

Incentivized

• Usage of more than one language in one specific API call
• Question Answering Feature
• Key Phrase Extraction, hence one need to read the entire phrase to understand the context

Incentivized

• More time for customer service
• Addresses issues to prevent they occur again
• Identify priority of escalations

Incentivized