Automatically categorize human conversation into topics and sentiment
Extract important keywords from conversation context
Auto-detect popular trends and topics in the digital space relevant to your industry
How it works
Upload Conversation Data
Increase AI Accuracy with Data Annotation within One Click
Export AI Model for Prediction
Fast, Flexible, and Accurate Conversation Analyzer
Leverage our data annotation and intent classification engine to analyze human conversations at scale. Stop manually analyzing human conversation. Build Powerful AI Application for..
Automatically route customer enquiries to the right contact point.
Categorize millions of online conversation at scale to uncover insight.
Obtain high quality conversation data quickly to train Virtual Service agents.
Easy-to-Use A.I. Technology
An Interface that allows non-tech savvy users to build & maintain text classification models relevant to their organization.
From manual data tagging to auto topic categorization
Large Data Library
Gain access to a large volume of conversational data that takes your industrial-use cases into account
Built-In intent Classifier
Leverage our state-of-the-art topic tagging engine to tag call, tweet, post, comment, and conversation
Deploy AI models to external system with industry standard APIs
Always enriching our data library
15+ industries coming
Our team is constantly keeping track of chatbot-use cases for incorporating new linguistic patterns into our data library.
Gain instant access to best-in-class text analytics technology
Extend beyond keyword matching
We have spent three years extracting and analyzing large amounts of online conversation data to enrich our Natural Language Processing technology. All of this, along with the data library, is now at your fingertips.
Our intent classifier can detect when people say more than one thing in a message
Support 25+ different languages while also catering for local variations in slang and cultural references
extend beyond the vocabulary in your small training samples
Analyze the relevant context and cultural references to generate results
As you provide more feedback to the conversation generator, you will get more useful data
Take into account your industry and related language nuances