Tired of searching for something to watch?
Our proprietary algorithm matches you with the movies and tv shows that are right for you. The more you use Infinimatch, the better its recommendations get.
Infinimatch
A new way to find what you want. Coming soon to your app store of choice.
Coming Soon to App Store
Coming Soon to Play Store
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What makes us different?
The market of algorithmic recommendations is a very saturated one. Every streaming platform has its own algorithms trying to serve up what they think you will like. And you know what, they all suck!
We Have No Incentives, No Biases, and No Limits
Streaming services will only ever recommend their own content and what is new. Infinimatch looks at a broad range of media available on all platforms or only the media available on your streaming services.
Content-Filtering Neural Network
Other algorithms use collaborative filtering, which looks at what other users like to gain context on what you like. People are much more unique and it's much too difficult to place each of us in a bucket. You may love horror movies but watch rom-coms with your partner on the weekends. Infinimatch will take your unique tastes into account and suggest exactly what you want.
Recommendations With Friends
Other algorithms use collaborative filtering, which looks at what other users like to gain context on what you like. People are much more unique and it's much too difficult to place each of us in a bucket. You may love horror movies but watch rom-coms with your partner on the weekends. Infinimatch will take your unique tastes into account and suggest exactly what you want.
Interconnected With All Devices
We are working on an app for all major platforms, and even TV operating systems. Because we want to make it as easy as possible for our users to save time
How are we better?
Most suggestion algorithms use what is called collective filtering, which essentially just sees what you like and matches you to similar group of people who like the same things. The unfortunate problem with this approach is that each of us is unique, which is why we use content filtering, which means we match the content to you.
To match you to the content we use a Tensor. This allows us to rank every movie in our database to every other movie in 512 dimensions. This allows us to get a fast and precise rankings for each user.
What does a Tensor look like?
Check out our interactive map
