Rumi Labs provides a decentralized vision-language model network that gives compliant, royalty‑aware access to IP‑protected video and media, extracting narrative context such as story meaning, cultural cues, and emotions. This enables media owners, streaming platforms, and advertisers to create interactive, hyper‑personalized and shoppable experiences through an API and SDK.
Funding
Funding not disclosed
Founders
Product
Problem
Centralized AI labs cannot legally access the vast amounts of IP‑protected video and media content, leaving millions of hours of narrative material unavailable for analysis. Existing vision‑language models also lack “narrative intelligence,” meaning they can describe visual elements but fail to capture story context, cultural meaning, and emotional impact.
Solution
Rumi Labs operates a decentralized vision‑language model (VLM) network that provides compliant, on‑chain access to large volumes of IP‑protected media. By decoding the narrative context of this content, the platform enables AI‑driven interactive experiences, hyper‑personalized storytelling, and shoppable media. The network’s decentralized architecture ensures that media owners retain control while allowing AI models to learn from otherwise inaccessible data. This capability powers contextual advertising and media applications that centralized AI providers cannot reach, unlocking new revenue and engagement opportunities for content creators and advertisers.
Target Audience
Primary customers are media owners, streaming platforms, and advertisers seeking to leverage interactive, story‑aware AI for content enrichment, personalized viewer experiences, and direct shoppable integrations.
Features
- Decentralized infrastructure that grants compliant, royalty‑aware access to IP‑protected video and media libraries
- Advanced VLM that extracts narrative intelligence, capturing story meaning, cultural context, and emotional cues
- Real‑time AI companions that can answer user questions about content and enrich viewing experiences
- Hyper‑personalization engine that tailors narratives to individual preferences, emotional state, and cultural background
- Integrated shoppable media layer that identifies and links products shown on screen for instant purchase
- API and SDK for embedding interactive, context‑aware media experiences into existing platforms and advertising workflows