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itcher: Powering Entertainment Discovery

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About this project

itcher solves the world’s entertainment discovery problem through a well-tested artificial intelligence (“AI”) technology that connects people (not products!) through entertainment.  With the deployment of 5G, more and more individuals will consume content over mobile devices.  We help them find that content that is most relevant to them - quickly and efficiently.

We recommend Movies, TV Shows, Music, Books and Games.  In the future, we will recommend all forms of digital content.

We would like to hear from data scientists who can challenge our existing algorithm and push us to continuously evolve our solution until our recommendations are as near perfect as possible.

In addition, we are looking to partner with content delivery platforms, to power their content discovery engines to deliver more precise recommendations to their subscribers by maximising retention and engagement on platform.

We are also looking for investors who have an interest in AI and Entertainment Tech.

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Visibility
Public
Last updated
6 May 2019

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Proposal

Our Proposal

Need: which problem(s) does your proposal solve?

The proliferation of content delivery platforms has created too much choice for consumers, and people struggle to identify entertainment that is most relevant to them.

itcher is a mobile, web and voice app that helps people discover entertainment that is most relevant to them­ quickly and efficiently.

We are evolving our business model from a pure B2C product to become a B2B SaaS solution that powers entertainment discovery for third party content delivery platforms.  

Integrating itcher Inside technology will enhance the recommendations provided by existing operators to maximise subscriber retention and engagement on platform.

Approach: how does your project solve the problem(s)?

itcher emulates the real life experience of asking a like­-minded friend for a "spot on" recommendation.

itcher recommendations are based upon linkages between those users whose preferences and tastes in MOVIES, TV SHOWS, BOOKS and GAMES score highest in similarity to yours based upon millions of data points.

itcher is an artificial intelligence engine …using 42 criteria our tailor-­made engine computes similarity between you and others.

Alternatives: what other alternatives could solve the problem(s)?
Benefits: what are the benefits of your proposal?

In the US, individuals will spend 1.3 years of their life searching for something to watch on TV: 

-  itcher eliminates the need to browse aimlessly in front of the television

-  itcher quickly and efficiently identifies content that is most relevant to individuals

-­ Through our couple recommendations feature, itcher has the potential to save marriages but enabling our users to link their itcher profiles and generate recommendations that couples will enjoy watching together

- On the B2B side, itcher helps platforms maximise retention and engagement by delivering more precise recommendations to subscribers by leveraging data points across a wider geographic user base, a broader set of content categories and more platforms than a single content provider has access to

Advantage: what gives your project the competitive edge?

We aggregate data from across five content verticals, not just one:  Movies, TV Shows, Books Music and Games.

We are platform agnostic, pulling user preferences from across content delivery platforms (e.g. OTT, Pay TV, etc). 

We then leverage this data to match users against one another, generating recommendations based on similarities between our users.

Google is a fan of ours, having invited us to be a launch partner for voice UI on Google Home. In January, we were featured at CES as the entertainment discovery engine within Google’s smart home ecosystem: https://vimeo.com/252864570.

In May, we were again presented at Google I/O as a launch partner for their newly released voice sign-in user-flow.

Prospective Partners: what might you expect from prospective project partners?

We are currently looking to raise in a pre­-Series A round, seeking US$ 2million.

In addition, we are looking to partner with content delivery platforms, to power their content discovery engines to deliver more precise recommendations to their subscribers by maximising retention and engagement on platform.