# Historyverse Develops AI-Enabled Vikram Betal Film > Source: > Published: 2026-06-16 08:19:31.620381+00:00 # Historyverse Develops AI-Enabled Vikram Betal Film Variety reports that **Historyverse**, the culturally focused content label within **Collective Studios**, is developing an AI-enabled film adaptation of the classic Vikram-Betal (Baital Pachisi) tales. The production will be produced through **Galleri5**, Collective Studios's in-house AI storytelling studio, and **Birla Open Minds** will serve as the project's education and knowledge partner, Variety writes. Students across the Birla Open Minds network will receive curated interactions and behind-the-scenes access to the production, according to the article. Vijay Subramaniam, founder and group CEO of Collective Artists Network, is quoted praising the project as an enduring IP that sparks imagination; Nirvaan Birla, managing director of Birla Open Minds, is quoted on connecting cultural heritage with emerging technologies, per Variety. ### What happened **Historyverse**, the culturally focused content label within **Collective Studios**, has announced an AI-enabled film adaptation of the Vikram-Betal stories, Variety reports. The project draws on the ancient Indian folk tradition known as **Baital Pachisi**, a cycle of tales in which the spirit Betal narrates moral riddles to King Vikramaditya, the article notes. Per Variety, the film will be produced through **Galleri5**, Collective Studios's in-house AI storytelling studio, and **Birla Open Minds** will serve as the film's education and knowledge partner. Variety reports that students across the Birla Open Minds school network will be offered curated interactions and behind-the-scenes access to the production. Vijay Subramaniam, founder and group CEO of Collective Artists Network, is quoted in the piece; Nirvaan Birla, managing director of Birla Open Minds, is also quoted. ### Technical details Editorial analysis - technical context: The Variety piece frames Galleri5 as an "AI storytelling studio" but provides no granular technical breakdown of tools, models, or datasets used. Industry-pattern observations: similar studio efforts typically combine generative assets for previsualization, synthetic voice or motion tools for ideation, and human-in-the-loop editing for final creative control. Practitioners working on comparable projects often need to integrate pipelines for media synthesis, version control for generated assets, and provenance tracking to document training sources and permissions. ### Context and significance Mainstream production labels experimenting with generative AI on culturally significant IP expand the conversation beyond proof-of-concept demos to audience-facing content and education partnerships. For production teams and ML engineers, such projects raise operational questions around dataset curation, rights management for training material, and quality-control workflows that preserve cultural nuance while using algorithmic tools. ### What to watch observers should track whether the production discloses the specific AI tools or vendors used, how it credits human and synthetic contributors, the scope of behind-the-scenes educational materials offered to students, and any public discussion about dataset provenance or licensing. Audience reception and regulatory scrutiny around synthetic media in narrative content will also be relevant signals for practitioners and rights holders. ## Scoring Rationale This is a notable industry-application story: a mainstream studio lab is integrating AI into a culturally important feature and pairing it with an education partner. The story matters for production pipelines, provenance, and rights management, but it does not introduce a novel technical advance. Practice interview problems based on real data 1,500+ SQL & Python problems across 15 industry datasets — the exact type of data you work with. [Try 250 free problems](/problems)