Chat and messaging conversations are more than just a string of words.  Behind every word choice, typo, phrase,  or pause in a conversation have hidden meanings and ‘body language’ that can reveal things about us.  People over time, hone these insights, which we call EQ or intuition.  But we’re limited in our ability to simultaneously listen, remember and analyze every datapoint in a way machines and AI can.  This limits our ability to fully capture everything that’s communicated in a conversation.  That’s why we built our messaging analytics and AI platform. 

Our analytics engine can generate every datapoint imaginable from a messaging conversation.  Coupled with the millions of conversations and labels from users, we built AI to predict hundreds of insights just from a small snippet of a given conversation.  These insights include demographics (e.g. age/sex), relationship type (e.g. romantic/ friendly/professional), relationship (e.g. a parent vs. a sibling), moods, interests and personalities.  

These insights will be important in building chatbots and conversational AI with human-level intelligence.  Just like how you can estimate the age of someone you’re talking to, our AI can predict age range from emoji usage alone.  ChatGPT and bots built from language AI models may have 200 IQ, but almost 0 EQ.  Each person the bot talks to is treated as the same person.  Most models have never trained from actual human-to-human chat data, so they have no idea how people ACTUALLY talk to each other.  Having EQ, or insight about your audience, is critical in crafting messages that can get through to the person on the other side who relies more on emotion to establish a connection. 

Anyone looking to work on this should contact us at info@textmei.com.  There’s no point in reinventing the wheel.   

Here’s just a small sample of analytics/AI engine that underlies our products.