You’ve heard “wisdom of the crowd” before. This is what it looks like.
Our technology only shows the most frequently mentioned and most unique attributes about a place, so your customers know whether it’s right for them at a glance.
Interested in adding Essences to your solution? We’d love to hear from you.
Today, most services use your social connections to make recommendations. But does that really work?
A truly great recommendation feels like magic…
…but the science of a truly great recommendation comes down to how well venues are understood.
Take a test drive of our “Show Similar” feature to see how we use Essence technology to curate astonishingly intelligent recommendations across markets.Try The Demo...
What do your customers gain by creating an account with you?
We believe that recommendations powered by Essence are a great way to provide the kind of extra value that builds loyalty.Try our app...
Surprise and delight your customers by providing unique concierge services during the booking process.
Want to add killer recommendations to your solution? We’re looking for innovative partners.
The techniques necessary to build Essence technology have only emerged from academia and research in the last three years. In some cases, the ink isn't even dry on the white papers.
Most of our data science team hails from the program at University of Colorado (which happens to be the home of Dr. Jim Martin, the author of the textbook on natural language processing). This gives us immediate access to some of the best talent and latest thinking in the fields of machine learning and natural language.
As a CEO, I believe it’s important to work with good people and to commit myself to serving them and helping them to grow. As an adventurer, I believe in living a whole-hearted life, to experience as much of the world around me as my time will ultimately allow.
At TravelShark, we strive to make the entropic data of the internet useful. Having more information is only effective if it empowers us to make better decisions, which in turn should lead to a life better lived. Above all, I believe in solving problems that allow me to leave the world in better shape than I found it. That’s why I work here.
Complexity interests me. From a very young age, I’ve attempted (the key word here is “attempted”) to solve problems that seemed impossible. As a result, I’ve explored a range of fields, from Computer Science to Engineering and Physics. Building complex systems from scratch has been a part of my journey, and that’s always been complemented by my belief in numbers and reliance on mathematics.
Working at travelshark gives me the rare opportunity to work on bleeding edge machine learning research — and I get to create and deploy algorithms as products to users.