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Our Product

When you use Wavii you select topics of interest… people, products, businesses, etc., and we use these to automatically generate a personalized feed of the latest and greatest events and visualizations related to those topics. You can dig deeper into each topic or event, share and discuss them, and even interact by adding your own opinion.


Follow topics and Wavii users to make your feed more personalized and interesting. You can @mention a Wavii user when commenting if you follow them.


Each item in your feed is an event related to one or more of the topics that you follow


See and interact with the latest events about the topics you follow.


Chat it up about some interesting event in y our feed. You can @mention other Wavii users or your Facebook friends to kick it off.


See images, videos, related data, and other rich content for each event in your feed


Wavii generates the content automatically, for every topic in our system

Our Story

We started Wavii because we knew there was a better way to consume the mountains of information being created on the web, and find what you actually care about (or, to let it find you).

First, we knew that we really liked what Facebook did… clearly summarizing everything our friends are doing into a simple, structured feed, and adding in related events and photos. Clean, simple and easy, and and just about the people we care about. Why can't we get all of our news that way?

It comes down to what the computer can understand. Facebook can create this because their millions of users are willing to manually input their life stories every day, giving Facebook the information it needs to create a feed. For the rest of the world’s topics and events however, there is no army of workers inputting every detail in a way the computer understands. So, as the perfect cliché, Wavii set out to solve this by making a similar feed that covers every topic in the news you might want to follow… or as we sometimes describe it, to make Facebook out of Google.

We do it by teaching computers to read everything that is reported or shared on the internet, and automatically produce interesting social content about it. The science dates back to years of natural language research at universities and private research institutions, to which we're applying a unique approach.