Hollywood
Relativity, LAMF ink 5-year co-financing & production deal
MUMBAI: After claiming to have received a fresh infusion of funds to the tune of $100 million, Relativity Media has now entered into a five-year agreement to co-finance and co-produce films with LAMF LLC (Los Angeles Media Fund).
As per the terms of the deal, LAMF will have a limited first look at Relativity Studios’ upcoming slate of feature films.
Under the terms of the partnership, Relativity Studios and LAMF will co-produce and co-finance films to be distributed domestically and internationally by Relativity Studios. The deal follows a co-financing and co-production deal reached by Relativity and LAMF in 2014 for the psychological thriller, The Disappointments Room, directed by D.J. Caruso and starring Kate Beckinsale, set for theatrical release in 2016.
Relativity Studios president Dana Brunetti said, “Relativity and LAMF share a common vision for creating great content. We are thrilled to work more closely with them as Relativity embarks on an exciting next chapter.”
LAMF co-CEO Jeffrey Soros added, “Kevin’s and Dana’s experience and track record as a producing team in creating highly entertaining and commercially successful movies, coupled with Relativity’s new ambitions and distribution capabilities, offer LAMF an exciting platform for collaboration. We look forward to working together on a number of projects to create truly compelling films.”
The partnership with LAMF comes after Relativity earlier this month announced plans to acquire Kevin Spacey and Brunetti’s Trigger Street Productions.
Hollywood
Utopai Studios partners Huace to deploy PAI for long form content
Deal includes revenue sharing as Huace adopts AI engine across global ops
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.
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.
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.
