Rumi raises $4.7M to change passive media into interactive AI experiences

How do you want to earn money while watching TV? RUMI, an Amnesty International Media Company, raised $ 4.7 million in a pre -seed financing tour to convert negative media with bonuses.

RUMI runs the Beta application for the invitation only, and aims to allow users to interact with the actual media content.

The tour, led by the A16z Crypto CSX and EV3, will support the RUMI mission to build the first infrastructure of the decentralized prosecution of the media, as it combines advanced artificial intelligence with an index supported by the user to convert broadcasting into a smart and interactive experience.

Viewers can chat with professional athletes or athletes about what they do on the screen, identify actors and clothes on the screen, or receive facts in actual time during hot political discussions-and all of them are supported by artificial intelligence.

“Rumi sits at the forefront of artificial intelligence agents, consumer media, and decentralized infrastructure,” Salvador Gala, founder of EV3, said in a statement. “Their approach to indexing sound and videos through a network distributed from the contract that is inactive is enables users to directly benefit from the existing behaviors.”

Passion gathering

With users staying more than five hours a day in watching the content – often during multiple tasks – RUMI allows them to obtain a negative income by contributing to the field of reserve account to build the richest base of knowledge in the world on the video content, which in turn allows agents of artificial intelligence to understand, increase the media and increase it in ways that we cannot even imagine yet, according to the company.

“Amnesty International can make the story of stories really overwhelming – but it first needs to understand the content of the world and its culture to do so,” Rumi CEO Niko Knungham, CEO of Rumi, said in a statement. “RUMI builds this infrastructure and gives users a way to be part of the first day.”

This decentralized indexing system helps AI agents to provide more intelligent visions and personal features such as contextual convergence, cultural context in actual time and interactive recommendations, while protecting the user’s privacy and IP respect for content.

Business and Partnership Model

RUMI licenses the infrastructure of artificial intelligence agents of artificial intelligence, developers and creators, providing agents new jobs and liquefaction opportunities. These opportunities include context ads that, from the viewer’s point of view, can be smoothly combined into a conversation with artificial intelligence agents, and much more. Agents can organically surface recipe cards during cooking or fashion links associated with what the characters wear on the screen.

RUMI also builds “decentralized Nielsen”, and provides actual time analyzes and audience visions. Early partnerships include Virtuals.io, which will integrate RUMI application programming facades to provide agents using the perception of contextual platform media and reaction capabilities, as well as TVision and story -based story protocol to provide unique viewers’ data and content analyzes.

RUMI now welcomes the first users in the experimental version of the Watch-To-Eern, allowing participants to help build what he calls the first smart ecosystem. Subscribe to https://www.rumilabs.io.

How RUMI works

The infrastructure that allows AI to understand human stories and culture preserved with billions of video hours.

Imagine you have a full crew, crew, commentators, shopping assistants, facts, researchers, and book in your living room-sitting on your interest with you while you are watching your favorite films, shows, sports and news. This is the media in the context of artificial intelligence. To enable this future, the company built a central network of indexes who analyze the content while watching them, and compensation for their work and their account.

Over time, the company plans to use funds to market the best Amnesty International structure in the world to distract the story from the video: Relations between procedures, characters and things; Story brackets / personality – maps drawing, understanding and sharing world stories – not only documents and facts like the current LLMS today.

The company builds infrastructure to support TV / direct sport (opposite the historical content that is now covering) and build a completely new gate to the media, and the D2C-the first AI Remote and Media Companion.

How works “Watch-To-Eern” model

Users receive their salaries in exchange for their contributions to account and data. They provide value by analyzing the video content and interacting with them on their devices.

This data is valuable because it enables the next generation of artificial intelligence agents who can determine and understand the content, which provides them with the ability to increase and customize the content for you, and turn negative media into an interactive experience.

The scenes analysis data that we collect is used on how people interact with the content on the pre -reached depth, to improve content quality and advertising quality.

The company said it will help individual creators and Hollywood studios to improve the quality of the story of stories, as Rumi collects the richest and most granular data about what is hesitant with people – stories, characters and things.

Rumi said that it will enhance the return of advertisers by enabling contextual advertisements, and the agent, which is more customized and valuable for consumers, and feels smoothly and membership-ensuring the flow of natural conversation … ads that do not feel ads. Of course, people must agree to the company’s privacy policies.

As far as the target audience goes, Rumi said that anyone with a computer and can reach broadcasting platforms can join our network today and reward their contributions to enabling the future of the media in which artificial intelligence works. The company focuses primarily on Web3 users, where they are used for the form of their resource sharing, such as energy or frequency range, in exchange for points or symbols.

Competitive companies

There are a few decentralized networks that pay people for their resources for their account to train artificial intelligence models or inference, such as BitTensor, Akash or offer.

However, Rumi said that he focused on understanding the video and created its deep learning models and areas that allow it to distort the essence of the story from the video, which Rumi believes will be decisive for Amnesty International to understand the stories that people really care about and how they communicate with our culture, and take towards more human organizations.

RUMI earns money by providing awareness of the context of the media to artificial intelligence agents, allowing them to become more than simple robots on social media. RUMI receives them access to its own application programming facades and their final ads service for the final users.

It also sells viewers’ data and analyzes to media companies, advertisers, artificial intelligence laboratories and other parties interested in understanding how consumers interact with the content (which they spend maybe five hours a day).

Content licensing and law management policies for Amnesty International

Rumi said that he never stored, re -broadcast or detecting any effective IP -protected content. Its decentralized network works to index it in a similar way to the Google Pages indexing.

The company said it will not train any Amnesty International models on this protected content. It is an infrastructure building that benefits the owners of IP: RUMI gives them a new direct contact channel with their fans, through which they can deepen the consumer’s participation in unimaginable ways, and access to new liquefaction opportunities.

The courts have repeatedly supported the publication of granular copies or video content summaries qualified to use – as shown in Google’s books (Guild v. Google), where sweat was shown and searched scraps were shown in entire books. The same thing that was held in TVEYES V. Fox, where indexing content and broadcasting content for research and partial review have been supported as a fair use.

The RUMI network of concepts coordinates the content, but it does not publish it to the audience. Rumi protocol displays apps only applications to allow the artificial intelligence agent to interact with the fingerprint of the text and the content version, demanding the demand.

Rumi said that this opens an endless opportunities for creators to make their content more specialized and interactive, so it ultimately benefits the owners of IP, as they direct the channels of communication with their fans, from which they can achieve income.

Why now? What are the macro trends that converge that make the turkey viable today?

Consumers want more interactive, connected, personal and overwhelming entertainment. It is clear that looking at the growth of games, social media and the direction of the huge second examination: 80 % of Gen ZS constantly compares their phones while watching TV.

AI Consumer agents are about to prosper, but they will not start with high use cases such as planning and paying for your vacation. They will start in your living room, making entertainment more overwhelming, connected and educational. Rumi said that technology is finally ready, and anyone can analyze the content on his devices, contribute to the future of the most immersive and personal media, and earn while doing this.