With an endless amount of movies and shows across an overwhelming number of streaming services, VUniverse was created with one solution in mind: to be able to answer the time-consuming question…what should I watch?

Have you ever found scrolling through every streaming service exhausting? Today's guests noticed none of the recommendations provided by streaming services were really personalized or tailored to their taste.

It has been reported that it takes the average viewer 20 minutes to find somehting to watch. Even if you know what you are looking for, it can be challenging opening and closing Netflix, Amazon Prime Video, Hulu, Disney Plus, YouTube TV, HBO, and Apple TV to see which platform has the license this month.

Today's guests didn't want to keep googling were a show or movie was streaming. They built VUniverse to make the ever-expanding world of streaming services easier so that you can spend less time searching and more time watching. But what is it?

VUniverse is a personalized movie and show recommendation platform that enables users to browse their streaming services in one app—a channel guide for the streaming universe. Using artificial intelligence, VUniverse creates a unique taste profile for every user and serves smart lists of curated titles using mood, genre, and user-generated tags, all based on content from the user's existing subscription services. Users can also create custom watchlists and share them with friends and family.

VUniverse was also recently named as one of the top 5 finalists in the AI & Machine Learning category for the 2020 SXSW Innovation Awards. But the event was later canceled due to the Coronavirus. On the one hand, I was struck by the impact of a new business having its big moment snatched away. But on the other, I realized with so many people working from home; online streaming has never been more popular. I invited Evelyn Watters, CEO and Monica Brady, COO onto the Tech Talks Daily podcast to share their journey and also their insights on the world of online streaming.