Moveme

In an era where streaming services boast an overwhelming catalog of 50,000 movies and shows across major platforms, finding the right content can feel like searching for a needle in a haystack. Traditional recommendation systems, while prolific, often prioritize popular titles over niche gems, leaving viewers frustrated and inundated with choices. This is where moveme emerges as a disruptor, revolutionizing content discovery through an emotion-led approach that aligns with what Aristotle himself might approve of.

Led by a team of six innovators specializing in AI/ML and design, moveme has achieved remarkable success since its launch, including 120 consecutive days of growth and recognition among the Slush 100. Their groundbreaking technology filters content based on emotional impact rather than traditional genres, helping viewers locate films that resonate on a deeper level. In an industry where 72% of viewers report frustration during their search for suitable content, moveme's innovative solution offers a more intuitive and satisfying alternative to current recommendation systems.

Company Overview and Achievement

The platform's success has been fueled by its groundbreaking approach to content discovery, which has earned moveme recognition in prestigious competitions and industry events. Since its launch, the platform has experienced 120 consecutive days of growth, with users sharing it with friends daily across all seven days of the week.

The company has achieved notable recognition through its involvement in major industry competitions. It was shortlisted for the UX/Content Discovery award at the Video Tech Innovation Awards, run by Digital TV Europe, highlighting its innovative approach to content classification. Additionally, moveme was selected as one of the Slush 100, recognized as the most coveted startup competition globally, with only ten UK companies chosen from over 1,000 applicants. The company's technology has been featured at major industry events, including IBC (International Broadcasting Convention), where it was mentioned in a significant talk about competing in the streaming market.

The platform has generated notable organic search results, appearing as #1 in Google searches in the UK and USA, with hundreds of organic hits generated daily. Notably, the volume of searches for "moveme" has remained consistent since the platform's launch, indicating sustained user interest.

The moveme team, consisting of six professionals including an AI/ML specialist and UX designer, developed the platform's groundbreaking recommendation system. The company credits the team's innovation as the key driver behind its rapid growth and recognition in the industry.

Core Technology: Emotional Affect

moveme utilizes AI-driven affect technology to revolutionize content classification, moving beyond traditional genre labels that have become increasingly limiting. The platform's approach is based on the understanding that nearly every viewing decision is influenced by emotional factors, drawing approval from Aristotle himself for its innovative classification method.

The technology enables users to discover movies that align with their specific moods and desired emotional experiences, using emotive keywords or emojis to filter search results. This emotional approach ensures that audiences find films that resonate on a deeper level, particularly helping viewers locate content that might otherwise be overlooked in the streaming landscape.

The development team, led by an AI/ML specialist and UX designer, has created a recommendation system that addresses the fundamental challenges of modern content discovery. While traditional recommendation engines prioritize popular content, struggling to surface niche or lesser-known titles, moveme's emotion-led approach aims to provide faster, more intuitive results. This includes recommendations for older films, foreign releases, and independent cinema that viewers might otherwise miss in the vast streaming landscape.

Team and Development

The six-member development team combines expertise in AI/ML, software development, and design to create the platform's recommendation system. Ben Polkinghorne leads as CEO, with Manish Patel specializing in AI/ML development. The technical team, including Liam Scriven and Peter Lloyd, handles software development, while Mario Kerkstra and Christian Carlsson focus on design. This collaborative approach brings together the technical capabilities needed for emotion-based categorization with the design skills essential for creating an intuitive user experience.

The team's work builds on existing challenges in the streaming industry, where 72% of viewers report frustration and 26% need over 10 minutes to find suitable content, often giving up after that. With 3.5 billion people globally streaming film and TV, competition has led to content growth from 18% in the past three years to 50,000 movies and shows across major services in the US. Traditional recommendation systems, which have dominated for over 25 years, tend to prioritize popular content, leaving niche titles overlooked.

moveme's solution addresses these limitations through an emotion-led recommendation system that classifies content based on emotional impact rather than traditional genres. This approach helps viewers find films that resonate emotionally, particularly older movies, foreign releases, and independent cinema that might otherwise go unnoticed. The technology allows users to search by mood or desired emotional experience, using emotive keywords or emojis to filter results. This capability enables the platform to provide faster, more intuitive recommendations that prioritize viewer satisfaction over mere popularity.

Market Problem and Solution

The streaming industry has created a significant challenge for viewers, with 72% reporting frustration and 26% stating it takes more than 10 minutes to find suitable content, often giving up after that attempt. This problem affects 3.5 billion people worldwide who stream film and TV, as competition for subscribers has driven content growth from 18% in the last three years to 50,000 movies and shows across major services in the US.

Traditional content recommendation systems, which have dominated for over 25 years, tend to prioritize popular content, leaving niche titles without visibility. The industry currently features two main approaches: content-based (showing similar content based on viewing history) and collaborative-based (showing content watched by similar viewers), but both prioritize widely consumed material over less-obvious options.

Understanding that every viewing decision is based on emotions, moveme developed an emotion-led recommendation system that categorizes content based on emotional impact rather than traditional genres. This approach addresses the industry's limitations by providing faster, more intuitive recommendations for older, foreign, and independent films that viewers might otherwise miss. The technology enables users to search by mood or desired emotional experience, using emotive keywords or emojis to filter results - a capability that helps surface content that connects on an emotional level for each individual viewer.

Impact and Future

With recognition from prestigious competitions and industry events, moveme has established itself as a disruptive force in content discovery. The platform's approach, which categorizes movies based on emotional impact rather than traditional genres, aligns with what Aristotle himself would likely approve of. By enabling users to search for films based on their current mood or desired emotional state, moveme's technology provides a more intuitive alternative to existing content recommendation systems.

This innovative classification method addresses several challenges faced by the streaming industry. According to industry reports, 72% of viewers experience frustration when searching for content, often giving up after 10 minutes. The platform's ability to surface older, foreign, and independent films, genres often overlooked by traditional recommendation systems, represents a significant improvement in content discovery. Through emotional filtering, moveme helps viewers reconnect with film in a more meaningful way, allowing them to find movies that resonate on an emotional level.

The platform's technical approach builds on existing limitations in content recommendation systems. Current methods, which have dominated for over 25 years, prioritize popular content, making it difficult for niche titles to gain visibility. moveme's emotion-led recommendation system represents a fundamental shift in how movies are categorized and discovered, offering users a more personalized and intuitive browsing experience. As the company notes, this approach ensures that viewers find films that connect on an emotional level, helping to address the growing overwhelm experienced by the 3.5 billion people worldwide who stream film and TV content.