
Video++
A leading company in "AI + Entertainment".
Date | Investors | Amount | Round |
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N/A | €0.0 | round | |
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investor investor | €0.0 | round | |
investor investor | €0.0 | round | |
investor investor | €0.0 | round | |
N/A | $105m | Series C | |
Total Funding | 000k |
Video++ (videojj.com), officially known as Video++ Technology Group, was established in Shanghai, China in 2014. The company operates as a video content platform that leverages artificial intelligence for image recognition within videos.
The core of Video++'s service is its AI-driven technology that identifies and tags a wide array of elements in video content, including objects, faces, brands, and even body language. This capability transforms unstructured video data into a searchable and structured format. The primary clients for this technology are advertisers and e-commerce companies. By enabling these clients to search for specific content or objects within videos, Video++ facilitates more targeted and contextual advertising opportunities.
The business model centers on providing this specialized video recognition and tagging service, empowering advertisers to place relevant ads and e-commerce links directly within video streams, a concept often referred to as shoppable video. This approach creates a new revenue stream for video publishers and a more integrated advertising experience for viewers. The company has garnered significant financial backing, having raised a total of $97.5 million through multiple funding rounds, including a seed round in December 2014 and subsequent Series A, B, and C rounds. This substantial investment history underscores investor confidence in its technology and market position within the video advertising and AI sectors.
Keywords: Video++, videojj.com, AI video recognition, in-video advertising, shoppable video, contextual advertising, image recognition, video content analysis, video tagging, ad-tech, e-commerce advertising, Shanghai startup, computer vision, video monetization, interactive video, brand recognition, object recognition, facial recognition, video data, marketing technology