How This Indian AI Unicorn is Disrupting Hollywood With Digital Humans

Enterprises have decades of audiovisual content stored across archives—from films and advertisements to sports footage. Yet finding a particular scene or campaign involves manual searches, relying on the recall of employees. However, as organisations produce more audio and video content, retrieving and reusing that information has become a challenge.

Prabhu Narasimhan, Founder and CEO of Brahma AI, believes enterprise technology has not kept pace with this shift. “Enterprise memory is restricted to the people who inhabit that enterprise at that given time,” Narasimhan explains in a conversation with AIM.

Founded in 2024, Brahma AI is building an AI platform that helps enterprises retrieve, contextualise, create, and distribute audiovisual content. The Mumbai-based startup combines an AI-native media asset management system with visual AI tools.

It recently raised $150 million through issuance of preferred shares, including a $100 million investment from Multiples Alternate Asset Management, at a post-money valuation of $2 billion—making it among the highest-valued Indian AI-native startups.

It cites its revenue scale, technology platform, customer traction, and market opportunity behind its high valuation. It operates under media and entertainment services company Prime Focusand was launched by DNEG—a UK-based visual effects company which has worked on films including Inception, Interstellar, and Dune.

In 2026, it won a Technology and Engineering Emmy Award for its neural performance technology in AI-based face replacement.

From Enterprise Memory To Audiovisual AI

Narasimhan, who is also the founder of Novator Capital and Nama Capital, realised that as businesses increasingly communicate through audio and video, their ability to retrieve information from those formats would become more important.

“Can you find me the campaign which shows a woman running with a handbag? If Louis Vuitton has ever done such a campaign in its history, it will be pulled out by Brahma,” he illustrates.

The startup built its digital asset management and content intelligence platform, Brahma AI Core, around this retrieval process. It ingests audiovisual material, contextualises it, and makes it searchable, allowing employees to find relevant content without depending entirely on manual research.

The company subsequently expanded into AI content creation through Brahma Studio. One of its products, Atman, creates high-fidelity digital humans for applications including film, television, sports, and advertising. The company also develops voice-replication technology.

Narasimhan says the requirements of high-end film production have shaped Brahma AI’s emphasis on visual fidelity. Digital humans used on large cinema screens must closely reproduce the people they represent, he argues, leaving little room for visible inconsistencies.

An Integrated Platform in a Fragmented Market

According to the IMARC Group, India’s visual effects market is expected to grow from $1.14 billion in 2026 to $1.8 billion by 2034 amid demand from quality digital content on OTT platforms and outsourcing from international studios.

Brahma AI’s differentiation, according to Narasimhan, lies in combining visual AI tools with an AI-native media asset management system. He said competitors like Synthesia operate across individual product categories, including digital humans and media asset management, rather than offering the same combination at scale.

“I don't have any one competitor who does the end-to-end platform,” Narasimhan remarks.

The company is also not building a general-purpose foundation model. Instead, it is model-agnostic, using whichever underlying model best suits the task while concentrating on its own specialised systems.

Narasimhan says Brahma AI holds more than 18 patents related to machine vision and agentic AI tools for audiovisual retrieval. The company’s focus is on applying AI to visual data and building proprietary capabilities around that application.

Enterprise Traction And Revenue Growth

Brahma AI has more than 90 customers, with 24 blue-chip customers contributing more than 80% of its revenue. Its customer base includes large studios like Warner Bros, sporting bodies like the NBA, and healthcare companies.

Rather than prioritising a broad base of smaller transactions, the company wants to deepen relationships with large enterprises and expand its role across their workflows. “We are not just selling tools; we are selling them the whole platform,” Narasimhan asserts.

The company generated approximately $45 million in revenue in 2024, followed by $74 million in 2025. It is currently tracking more than $130 million in revenue for 2026, he notes.

However, the company did not provide a detailed breakdown of revenue by product, pricing structure or the share of revenue generated by recurring software contracts.

Multiples, the lead investor, sees the company’s opportunity in the wider content supply chain.

“Brahma AI is reimagining the content supply chain in the age of AI. Built on a unique heritage of Hollywood-grade technology and enterprise innovation, the company is helping organisations unlock greater value through AI-powered content, intelligence, localisation, digital humans, and workflow automation,” says Renuka Ramnath, Founder, Managing Director and CEO of Multiples.

Building Trust 

As realistic synthetic media becomes more widely used, consent, copyright, and traceability are central concerns for enterprises adopting the technology. Narasimhan affirms Brahma AI treats authenticity, provenance, and trust as core elements of its platform rather than safeguards added later.

The company creates digital humans with the consent of the person represented, while its workflow aims to make the origin and modification of content traceable.

“You should be able to see where the data came from, what was created, who created it, who edited it, who worked on it,” Narasimhan emphasises.

Brahma AI’s next phase will focus on research and development, global go-to-market expansion, and investment in talent and internal processes.

Its broader ambition is to help enterprises move beyond storing audio-visual archives towards actively using them across content discovery, creation, and distribution. The challenge ahead will be to scale that integrated platform across more enterprise workflows.