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The Möbius Trip Replay is a cutting-edge Multimodal Audiovisual Analysis AI toolkit that analyzes film and cultural representation patterns. Following a reverse-engineering approach, it deconstructs movies into measurable elements. The Möbius Trip manages big data and connects the smallest components to the greater context through a dynamic layered reading of movies. It restructures the narratives in the shape of graphs and timelines to obtain a comprehensive and complex perspective of the film. It reveals otherwise invisible cinematic and cultural patterns and eases comparisons to study the evolution of trends. 

Möbius Trip Replay Promotional video


Key Features

  • Reverse-Engineering Approach: Analyzes and categorizes cinematic and cultural elements, including Mise-en-scène (what is filmed) and Cinematography (how it is filmed).


  •  Large-Scale Granular Dynamic Reading: Connects the smallest components to the broader context through:

    • Close Reading: In-depth linear analysis of individual movies.

    • Distant Reading: A broad, quantitative approach considering remakes, franchises, time periods, genres, and cultural aspects.

    • Complex Dynamic Reading: Users can zoom in and out of data and connect various data points.

    • Visualizations: Mindmaps, graphs, trees, charts, and timelines.


  • Big Data: Includes thousands of movies spanning all genres and regions.



User Interface

Möbius Trip offers an intuitive interface with:

  • A powerful search engine and comparison tool

  • A sequencing editorial tool for data filtering and correlation.

  • An AI language model-based report generator

  • A collaborative platform for scholars to interact and exchange insights.



Core Features

  • Character Tracking

  • Gender Recognition

  • Emotion Display

  • Roles Identification

  • Object Detection

  • Text Analysis (dialogues and scripts)

  • Shot Scale Labeling

  • Camera Angles Labeling

  • Framing (number of characters)

  • Shot Length Distribution Measurement

  • Color and Light Detection

  • Music/Scoring Recognition

  • Speech Recognition

  • Automatic Report Generation


Applications: Patterns Discovery


  • Film Tradition Patterns

    • Genre / Sub-Genre Blueprint: (e.g., Comedy, Drama, Action, Sci-fi, Western, War)

    • Year / Time Period Blueprint: (e.g., 1960s, 70s, 2000s)

    • Director Blueprint: (e.g., Wes Anderson, Martin Scorsese, Stanley Kubrick)

    • Actor Blueprint: (e.g., Brad Pitt, Emma Watson)

    • Franchise Blueprint: (e.g., James Bond, Ghostbusters, Indiana Jones, Aliens)

    • Format Blueprint: (Cinema, Television, Internet)

    • Film Techniques Blueprint: (e.g., chiaroscuro, phantom ride, etc.)


  • Cultural Representation Patterns

    • Country Blueprint: (e.g., England, USA, France, China, Mexico)

    •  Communication Style: (High/Low context cultures, Body language, Emotion display, warm/cold cultures)

    • 6 Dimensions of Culture: (Power Distance, Individualistic/Collectivistic, Masculine/Feminine)

    • Representation: (e.g., Gender, profession, theme, location)

    • Norms and Values and Ideology: (e.g., Politeness, religion)

Intended Users

  • Humanities: Suitable for fields such as LGBT studies, Media and Communication, Sociology, Anthropology, English, and Intercultural Communication.

  • Film Industry: Beneficial for filmmakers and analysts.

  • Social Media: Useful for tracking cultural trends.

  • Everyday Users: Provides insights for curious minds.

Who we are

Success stories often have humble beginnings, and this one started not in a garage, but in a quaint café. It was 2018 when Landry, a French Ph.D. student at the University of Maryland, Baltimore County (UMBC), was working on his research on movie remakes. He envisioned a fresh approach to studying films and culture. Fate led him to the same café where Anjal, an AI engineer, an AI engineer with a knack for innovation. United by a shared vision, the two friends embarked on a journey to create a transformative tool, fusing Landry's vision and Anjal's high technical skills. Together, they're crafting a tool that promises to revolutionize the study of movies and cultural representation as we know it.


Since November 2022, The Möbius Trip has been incorporated. We received a $50,000 capital investment. We have been able to develop Möbius Trip Replay further. We are looking for more investments to pursue our project.

Please visit for more details. 

Why is it important to study movies? 

Movies tell the human story. Our story. It is made by us and for us. Movies are a powerful medium that both reflects and shapes our society and individual experiences. They have the potential to influence our values, beliefs, and behaviors. They have a profound impact on our identities, public opinion, and world perception. All together, movies, TV series, and documentaries become the depository of our collective memory. Because movies are cultural specifics, they are a powerful medium to study and compare cultural representations. 

Why do we need the Möbius Trip Replay?  

Because we rely on thousands of movies from all over the world,  Möbius Trip Replay reveals cultural patterns and trends in film traditions, from genres and directors to actors and formats. Dive into the rich fabric of cultural representation, exploring how countries, communication styles, and cultural dimensions are depicted in cinema. Unearth the nuances of gender, profession, theme, location, and ideology, all through the lens of movies, TV series, documentaries, and even commercials. 

Who is the Möbius Trip for? 


Basically, it is for all of us! 

  • HUMANITIES SCHOLARS AND RESEARCHERS: ranging from media to LGBTQ departments, intercultural communication, English, sociology, and anthropology. The software deploys rigorous data to understand better the evolution of the human way of cultural representation and artistic expression. 

  • FILM INDUSTRY: By comparing an incredible amount of data of successful movies, tv series, documentaries, and even commercials, the film industry could use the Mobius Trip Replay to find the key to commercial success (especially for movie remakes and TV series adaptations) 

  • SOCIAL INFLUENCERS: Mobius Trip can be extremely fun. Do you want to know who blinks the most? What movie contains the most food? Count the number of guns or books. How are accountants or nurses most often represented? You can share this fun info with your followers and get more popular on social media! 

  • EVERYDAY AUDIENCE: You are scrolling hours through Netflix videos looking for a movie you will eventually fall asleep to? Now. You Can ask the Möbius Trip to find a list of movies that include a car race or Brad Pitt eating pasta. In one click, you can find a movie that passes the Bechdel test (a movie where at least two women talk to each other about something other than a man). The Möbius Trip proposes a brand new approach on how search for movies. 

Landry Digeon, Ph.D., is a scholar of digital humanities, film, and intercultural communication. He is from France and received his Ph.D. in Language Literacy and Culture and his Master’s in Intercultural Communication studies (INCC) at the University of Maryland, Baltimore County, USA. He focuses on movie remakes and transnational TV series adaptations. Relying on big data, he aims to uncover patterns of cultural representation and movie-making traditions. He is the co-designer of the AI software, The Möbius Trip, and co-founder of The Möbius Trip LLC.  

Anjal Amin develops complex software solutions for media and financial agencies in the field of artificial intelligence and natural language processing. He has contributed technical expertise to the Central Intelligence Agency and NASA Goddard Space Flight Center. The majority of his work is focused on research of natural language and media models for applications in various industries. He is the co-designer of the AI software, The Möbius Trip, and co-founder of The Möbius Trip LLC.  

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