Certified Startup
RIBALTA MEDIA TECHNOLOGIES PRIVATE LIMITED
Sector:
Media and Entertainment
Business Model:
B2C
Industry:
Entertainment & Media
Technology:
Web technologies
About
Incorporation Date
Feb 13, 2019
Incorporation Type
Private Limited Company
Registered State
Kerala
Registered District
Pathanamthitta
Registered Address
NO 7/150, MUTTATHU KIZHAKKETHIL, IMALY EAST, PATHANAMTHITTA DISTRICT PATHANAMTHITTA Pathanamthitta KL 689647 IN
Office State
Office District
Office Address
NO 7/150,MUTTATHU KIZHAKKETHIL,IMALY EAST, OMALLOOR, PATHNAMTHITTA - 689647
Team
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AJITH KUMAR KUTTAPPAN NAIR
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JAYA AJITH
1.Unify Information, Entertainment into one platform (Social OTT) 2.Get all news, music, channels and movies at once place from different publishers under one subscription 3.Content is published through a separate website or through an API 4.Publishers are free to publish content under their channel
Sector:
Media and Entertainment
Industry:
Entertainment & Media
Business Models:
B2C
Technology:
Web technologies

1.A Digital media distribution platform that will let media companies  and Artist to publish and monetize their content
2.Free up publishers from worrying about technology and payment collection.

Our Platform unifies different content in a single place. Integrating all content in one guide offers the added benefit of being able to enhance the customer user experience.

Instead of having to watch at home, viewers are tapping into content wherever they want, on whatever devices they want: phone, tablet etc.

Our Platform offers more options for the users for the content they really want.  The content is being offered from different publishers in one place under one subscription.

The beauty of this platform is the ability to choose the content. If you want to watch a show/film, you can just subscribe and all the customers who subscribed can view it.

The user can buy credits in the platform and use it to consume content from a variety of publishers.

The content will be delivered as per consumer taste, recommendation through Machine Learning

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