Ryff utilizes proprietary AI technology to analyze moving image content, identifying contextually relevant virtual placement opportunities for brands. This approach enables seamless integration of products into various media formats without disrupting the original narrative, enhancing monetization for content creators.
Funding
$20.3M raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
Founders
Product
Problem
Traditional product placement in media content is costly, time-consuming, and often disrupts the creative process. This limits opportunities for brands to integrate into diverse content formats, particularly in ad-free environments, and restricts content creators' ability to monetize their work effectively.
Solution
Ryff offers an AI-driven platform that analyzes moving image content to identify contextually relevant virtual placement opportunities for brands. The platform uses proprietary AI to understand the content on a frame-by-frame basis, pinpointing emotionally-driven opportunities to seamlessly integrate brands with contextual relevance. Ryff's technology enables dynamic insertion of photorealistic 3D objects into completed videos, allowing for the commercialization, revitalization, and re-monetization of TV, film, sports, and social media content without infringing on the production or narrative. The platform automatically finds the right placement opportunity and iterates for different demographic segments, including geographic, cultural, social, language, status, and habits.
Target Audience
The primary target audience includes content owners and producers, influencers and social media creators, networks and production companies, sports broadcasters and IP owners, and brands seeking virtual product placement opportunities.
Features
- AI-powered analysis of moving image content to identify virtual placement opportunities.
- Automatic placement and iteration for different demographic segments.
- Dynamic insertion of photorealistic 3D objects into completed videos.
- Contextual relevance data to match brands to content.
- Re-versioning capabilities for publishing on any channel, screen, or player.