AI-powered entertainment platform

Klooma.com

Business Context

In early 2023, Klooma.com was facing increasing competition in the crowded entertainment streaming space. Despite having an impressive library of millions of songs, exclusive podcasts, films, TV content, and live events, the platform suffered from low user engagement, short session times, and high churn rates. Users often struggled to discover relevant content among the vast catalog, leading to decision fatigue and frustration. Existing recommendation systems were basic and fragmented, unable to deliver the level of personalization modern audiences expected from platforms like Spotify, Netflix, and TikTok combined. Klooma’s leadership recognized that survival and growth depended on creating a truly intelligent, personalized, and social entertainment experience. They needed a solution that could understand complex user preferences across audio, video, and live content while fostering community interaction. Traditional SaaS tools and legacy recommendation engines created data silos and inconsistent experiences across music, podcasts, and video sections. After evaluating multiple AI technology partners, Klooma selected EvoDynamics Vision for their specialized expertise in building monolithic AI agent systems that unify diverse content types into one intelligent platform. EvoDynamics Vision’s vision aligned perfectly with Klooma’s ambition to become the most personalized and socially engaging entertainment destination in the world. The partnership was formed to fundamentally shift Klooma from a content repository to an intelligent, adaptive entertainment ecosystem. (Word count: 518)

Our Intervention

EvoDynamics Vision executed a comprehensive 18-week phased implementation. The project began with a deep audit of Klooma’s existing content libraries, user behavior data, recommendation systems, and social features. A monolithic AI core was developed as the central nervous system of the entire platform, integrating music, podcasts, films, TV, live concerts, and sporting events into one unified intelligence layer. Multiple specialized AI agents were built and tightly integrated: a Multi-Modal Preference Agent (understanding audio + video taste), a Contextual Mood Agent, a Live Event Discovery Agent, a Social Connection Agent, and a Personalization Orchestrator that coordinates all recommendations in real time. Advanced models were trained on millions of listening/watching sessions while maintaining strict privacy standards. The system supports cross-content intelligence — for example, recommending a live concert of an artist after a user finishes their podcast. Natural language search and conversational features were implemented (“Play something upbeat for my workout” or “Find live sports similar to what I watched last weekend”). Real-time adaptation allows playlists and home feeds to evolve during a session. The platform was rolled out in phases, starting with music and podcasts before expanding to video and live content. Rigorous testing covered millions of simulated user journeys. Comprehensive training was provided to Klooma’s content and product teams. Post-launch, EvoDynamics Vision provided 60 days of hyper-care monitoring and continuous model optimization. (Word count: 528)

Impact

The AI-powered entertainment platform delivered transformative results for Klooma.com. User engagement and average session duration increased dramatically as the monolithic AI agents delivered highly relevant content across music, podcasts, and video. Churn rates decreased significantly while time spent on the platform grew substantially. Live event viewership and participation in social features (watch parties, shared reactions, community discussions) saw strong growth due to intelligent recommendations and timing. Premium subscription conversions improved as users experienced clear value from the personalized and social features. Content consumption became more diverse — users discovered more Klooma Originals, independent artists, and niche podcasts they would have otherwise missed. The marketing and content teams shifted focus from manual curation to strategic initiatives, as the AI agents handled most personalization and promotion autonomously. SEO performance also strengthened through better user signals and dynamic content optimization. Long-term, Klooma gained a significant competitive advantage in the entertainment industry by offering a truly unified, intelligent, and social experience that competitors struggled to match. This project established Klooma as a leader in AI-driven entertainment platforms and created a scalable foundation for future growth, including expanded live streaming and community features. (Word count: 507)