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AI film studio TakeTwo secures funding at Rs 100 Cr valuation in pre-seed round

EntrackrEntrackr · 4d ago
AI film studio TakeTwo secures funding at Rs 100 Cr valuation in pre-seed round
Medial

TakeTwo, an AI-native film studio specialising in high-end visual storytelling, has secured fresh capital at a Rs 100 crore valuation in its pre-seed round. The investment round saw participation from US-based Afore Capital and Canada’s Inovia VC. The company’s founders recently emerged from Y Combinator’s AI Startup School and have positioned the company as a critical technology partner for India’s film industry. The capital infusion will be deployed to further develop technical infrastructure and scale its team of creative technologists, TakeTwo said in a press release. Co-founded in 2025 by Rudresh Upadhyaya and Raghav Katta, TakeTwo is an AI-native film studio that bridges the gap between deep technology and cinematic storytelling. By embedding AI into professional film workflows, it enables directors to create high-end visual IP and complex VFX sequences efficiently. The startup aims to become the industry standard for AI-assisted cinema, providing a seamless layer of technology that orchestrates complex creative outputs behind the scenes. According to TakeTwo, it functions as a full-stack studio, assisting directors and production houses in executing complex VFX-heavy sequences, stylised inserts, and surreal environments at a fraction of traditional costs. The startup blends AI and live action, with outputs designed to flow into standard grading and editing workflows, making it easier for filmmakers to integrate AI-driven material into mainstream productions. As per market research, India’s media and entertainment market was valued at $30 billion in 2024 and is projected to reach $48 billion by 2030, representing a CAGR of about 9.8% during 2025–30. TakeTwo claims it is collaborating with several leading Indian directors to deploy AI-driven material in mainstream cinematic productions. The startup allows filmmakers to achieve high-fidelity visual IP with greater flexibility and reduced overhead. It follows both B2B and B2C approaches and plans to deploy its own custom AI agents.

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