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R Madhavan to be a part of 3D remake of ‘Night of the living dead’

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MUMBAI: Simon West Productions, and the Graphic Film Company, in association with 2020 Entertainment and Indus Media and Entertainment, have set Bollywood actor R Madhavan to star in the classic movie’s remake Night of the living dead: Origins 3D. Madhavan was previously seen in the movies 3 Idiots and Tanu Weds Manu.

 

Zevbediah De Soto has directed and co-written the movie. Warren Davis II and David Reuben Schwartz will be writing it along with De Soto. The film will also star Tony Todd, Tom Sizemore, Danielle Harris, Sarah Habel, Sydney Poitier, Bill Mosley and Joseph Pilato.

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West, Jib Polhemus, Gus Malliarodakis and Matty Mangone-Miranda of the Graphic Film Company, Paresh Ghelani of 2020 Entertainment, and Naveen Chathappuram and Charles Leslie of Indus Media and Entertainment are producing. Meyers Media Group is handling all international rights.

 

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In this movie, a group of survivors enclose themselves in a room when a zombie plague attacks New York City. It’s being shot in a CG setting using stereoscopic 3D.

 

Producer and CEO of 2020 Entertainment, Paresh Ghelani, says, “It’s great to help introduce American audiences to what the many fans of Bollywood films have known for years. Madhavan is a huge dynamic talent.”

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Producer Simon West adds, “This movie represents a whole new way of visualizing the classic zombie genre. It has a fresh and exciting style that sets it apart from all other horror films seen up until now.”

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Hollywood

Utopai Studios partners Huace to deploy PAI for long form content

Deal includes revenue sharing as Huace adopts AI engine across global ops

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MUMBAI: Lights, camera… algorithm, the script just got a silicon co-writer. In a move that signals how storytelling itself is being re-engineered, U.S.-based Utopai Studios has partnered China’s Huace Film & TV Co. Ltd. to bring artificial general intelligence into the heart of long-form content creation.

At the centre of the deal is PAI, Utopai’s cinematic storytelling system, which Huace will deploy as a core engine across its production pipeline from development and creative iteration to global localisation. The partnership includes a large-scale annual usage commitment from Huace, alongside a usage-based revenue-sharing model, underscoring both ambition and commercial confidence on both sides.

For Huace, one of China’s largest film and television companies, the bet is not on automation alone but on scale with control. With distribution spanning over 200 countries and a presence across more than 20 international platforms, including Netflix and YouTube, the company brings a vast content ecosystem where even marginal efficiency gains can translate into significant output shifts. Its extensive TV IP library further positions it as fertile ground for AI-assisted storytelling workflows.

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The choice of PAI follows what Huace described as a rigorous evaluation of existing AI tools, many of which remain limited to fragmented use cases such as video generation or editing. What tipped the scales, according to the company, was PAI’s ability to handle long-form narrative complexity maintaining continuity, structure, and creative coherence across entire story arcs rather than isolated clips.

Utopai, for its part, is using the partnership to anchor its international expansion strategy, pitching PAI as an enterprise-ready system built for customisation, privacy, and regulatory adaptability across markets. That positioning becomes particularly relevant as global media companies increasingly scrutinise how AI integrates into proprietary workflows.

The timing is notable. Earlier this month, Utopai upgraded PAI to support three-minute 4K video generation and advanced multi-shot sequencing features designed to tackle one of AI storytelling’s biggest hurdles: consistency across scenes.

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What emerges is not just another tech collaboration, but a glimpse into how the grammar of filmmaking could evolve. Because if stories were once crafted frame by frame, the next chapter might just be coded scene by scene.

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