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At NXTinAI in Hyderabad, Galleri5 presented AI filmmaking as a production workflow for television and theatrical projects—not just a collection of short AI-generated clips. Its showcase covered visual development, character creation, shot design, VFX and post-production. Those capabilities and project links are company-reported claims, not independently verified performance results.

What happened at Galleri5’s NXTinAI event?

Galleri5 AI Studio, part of Collective Artists Network, held NXTinAI at the Park Hyatt Hyderabad. The event brought together filmmakers, producers, creators and technology leaders to demonstrate how the company intends to use AI in professional and long-form production. Deccan Chronicle described the announcement as a press release, so claims about the event and Galleri5’s technology should be read as the company’s account. Deccan Chronicle’s 11 October 2026 report

The showcase was framed around a connected pipeline: visual development and character creation, followed by shot design, visual effects and post-production. Galleri5 said the demonstrations included 4K cinematic output, AI-powered VFX, AI actors and avatars, character and world consistency, live-action-to-AI workflows, agentic filmmaking and long-form production.

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What production tasks does Galleri5 say its platform supports?

Galleri5’s reported capability list spans several stages of production rather than one particular generation task:

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  • Planning and visual development: storyboarding, shot design and development of characters and worlds.
  • Image, video and audio creation: the company describes a stack containing more than 200 image, video and audio models.
  • Continuity: tools for maintaining consistency across characters and worlds.
  • Production and post-production: AI video, animation, avatars, VFX and workflows that combine live action with AI-generated material.
  • Output and format: Galleri5 lists 4K output and long-form filmmaking among the platform’s capabilities.

The 200-plus model count and the capabilities above are reproduced from Galleri5’s press-release description by Cinejosh in 2026; they are not independent benchmarks. The figure alone does not establish output quality, reliability, production speed or how well the tools work together. Cinejosh’s 2026 reproduction of the announcement

Which projects does Galleri5 associate with the technology?

Mahabharat: Ek Dharmayudh

The announcement associates Galleri5’s AI stack with the television project Mahabharat: Ek Dharmayudh, for Star Plus and JioHotstar. This is a reported company project connection; the cited coverage does not independently establish the platform’s specific production contribution or technical results.

Chiranjeevi Hanuman

Galleri5 said its stack is powering Chiranjeevi Hanuman, which the company described as a full-length AI feature in development for theatrical release. The report also says a teaser had played on cinema screens. It does not establish a release date, confirm that the film has been completed or provide independent evidence of its production credits.

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What does the announcement establish—and what remains unverified?

The event announcement shows that Galleri5 is presenting AI as a way to connect multiple filmmaking stages and is associating its tools with named television and feature projects. It does not provide independent testing, comparative output-quality results, pricing, audience response, cost savings or production-time measurements. Nor does it show that the feature is already released. Rahul Regulapati, Galleri5’s founder and CEO and a partner at Collective Artists Network, was quoted as saying, “AI is moving into theatrical filmmaking.” That is the company’s stated ambition, not evidence by itself that AI production has reached any particular level of theatrical quality.

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For a production team assessing a platform, the announcement points to relevant questions: whether characters and worlds remain consistent across a long project; how well visual development, VFX and live-action-to-AI work fit together; what resolution and deliverables are available; and how the tools integrate into an existing pipeline. The cited announcement does not answer those questions with independent tests or commercial terms.

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