Studio Blo: Revolutionizing Cinematic Content with AI for Unparalleled Creativity and Scalability
CXOToday has engaged in an exclusive interview with Dipankar Mukherjee, Cofounder, Studio Blo
- What inspired the creation of Studio Blo and its focus on AI-driven cinematic content?
After over two decades working across advertising, cinema, design & technology, one thing was clear to me – there is no dearth of great ideas. The big challenge lies in executing them. The logistical and commercial constraints in producing content often kill or severely dilute the idea.
AI offers a new way of executing ideas. My co-founders and I created Studio Blo to overcome these constraints. We believe that AI replaces the camera, not the people behind it. Our focus is on enabling brands and creators to produce high-quality, photorealistic content at scale, without the typical hurdles of budget, location, or time.
Bringing in human talent like cinematographers, writers, production designers & directors into the process of AI Content Production, we have put the focus on telling stories in the most cinematic way possible. Our recent success with music videos, short films & ad films validate this approach.
- How is AI transforming the production process for cinematic content, particularly in terms of cost and scalability for brands?
What would an INR 10,00,000 production budget achieve for a brand or a filmmaker today? That budget, or for that matter any budget, would set clear limits to the production quality – the number of models, type of camera & lights, options for locations, duration of shoot etc.
With AI, the options are endless. My cinematographer could choose to shoot a scene on an Alexa 65 with Arri DNA lenses in Siberia and then cut to a Phantom 4Pro Drone Sequence in the middle of the Kalahari desert. It doesn’t impact the cost, but definitely takes the quality of the film to another level.
In our last 4 films, we have shot at Dover, Paris, Osaka, Manhattan, Morocco, Monaco, across 7 cities of India, and on an alien planet. The total production budget of all those 4 films combined would be equal to shooting one 30 second ad film in a studio setup using traditional filmmaking. And the impact – over 20 million views across the 4 films, film festival nominations & reviews by global media channels.
Social Media is already blowing up with AI Content, with brands being able to automate content creation to a large extent, and also being able to post high quality content more regularly. AI also enables brands to go multi-lingual and speak to consumers in their own language. At Studio Blo, we dub videos with perfect lip-sync & voice cloning in every major language of the world for our clients.
- What measures are being implemented to ensure ethical use and control over AI clones for celebrities, addressing concerns about misuse?
Anil Kapoor is on the cover of Time magazine for rightfully fighting against the unethical use of AI cloning. I wonder if my co-founders and I should be featured on the next cover for having solved this problem.
Jokes apart, we take this very seriously. Not just for celebrities & influencers, but for any actual human persona that is being cloned by us. When it comes to voice cloning, we take explicit on-camera consent of the person whose voice is being cloned. When we cloned an actress for our music video, we encrypted her digital footprint and ensured it was limited to usage on just that video and its promotions.
We are now launching a model that focuses on making celebrity AI Clones verifiable, traceable & ownable. This will allow celebrities & talent management companies instantly validate any unauthorised version of the AI Clones. Additionally, this allows celebrities to freely monetise their AI Clones across a broader market without the fear of misuse.
We take pride in doing distribution-grade work, which also implies that everything is plagiarism free. To enable this, we have built proprietary workflows and internal tools to cross-check every image and video frame for possible plagiarism by the LLMs.
- How do innovations in AI-driven virtual try-ons improve the shopping experience compared to traditional augmented reality solutions?
Our approach to virtual try-ons is significantly different to traditional AR solutions. I have been personally involved in multiple XR virtual try-on projects around the world, so I know the customer experience challenges that come with it. The awkwardness of static overlays slapped onto your body while you hold a phone in your hand makes it a bad choice for most fashion brands.
With Generative AI, we are freeing the customer from this awkwardness. Our solution essentially helps visualise the clothes on AI models and even AI clones of yourself. We will be integrating our product with some of the most prominent fashion retailers in the world.
Future evolution of AI Virtual Try-ons will include individual body shape analysis and a more accurate representation of how the product will fit and look on the consumer in real life. Moreover, our AI systems will go beyond just appearance, adapting in real-time to user feedback, preferences, and interactions. If a customer tries on a virtual dress, the AI can suggest complementary accessories, styling tips, or even alternative outfits based on the latest trends. This will not only enhance the shopping experience by providing hyper-personalization but also helps customers make informed decisions with more confidence, leading to higher satisfaction and reduced returns.
The AI’s ability to analyze vast datasets also means that the system can continuously improve, offering users an increasingly refined experience over time, which traditional AR systems can’t match.
- How do you envision the future of AI in content creation, particularly in sectors like fashion and music?
The future of AI in content creation is incredibly promising, especially in sectors like fashion and music, where creativity and scalability are paramount. In fashion, AI will redefine everything from design to marketing. Designers will be able to use AI to create custom collections for individuals, where garments are tailored not just to fit but to match personal style preferences and body shapes. AI will also power virtual fashion shows, with brands showcasing their collections to global audiences in real-time, transcending physical boundaries. This democratization of fashion will allow smaller brands to compete with established names, as AI enables them to deliver high-quality, personalized products at scale without the need for traditional infrastructure.
In music, AI will enhance collaboration between artists and technology, making it possible to create entirely new genres or styles that blend human creativity with machine precision. We already see AI being used in composition and sound design, but the future lies in creating interactive experiences where audiences can engage with music in real time, influencing performances or even co-creating with artists. AI-driven avatars and virtual concerts will make it possible for musicians to reach fans anywhere in the world without the need for travel or large-scale logistics, creating more opportunities for artists to engage with their audience.
In both sectors, AI will serve as a creative collaborator, amplifying human ingenuity rather than replacing it, allowing creators to experiment with new forms of expression and content distribution.