We offer a secure, scalable, high-performance ML-powered platform enabling new revenue streams for video sites and e-commerce companies.  We use AI and computer vision technologies to dynamically target product ads (like fashion) to visually relevant objects and scenes in the video. This platform empowers video sites to transform underutilized content into ad placements with high CPM and unobtrusive UX for the viewers, enabling high-ROI advertisement for e-commerce companies. 

The system allows for the creation of a new highly contextual advertisement inventory that works with incredible efficiency, even in the world of increased privacy standards and AI replacing web search & browsing.  

Solution

Video Content Targeting for Fashion E-commerce

Fashion represents one of the biggest e-commerce category (25% of sales on Amazon is fashion and apparel). At the same time the purchases of fashion products are often very impulsive purchases.  

Quick fact: According to Statista, fashion e-commerce is projected to be a $1.5T market by 2027

We provide a ready-to-use, scalable, real-time processing pipeline with an API for easy integration, support for distributed computing and various types of GPUs. Our functionality includes exceptionally high recognition accuracy, the capability to handle different object types, the ability to work with millions of SKUs from multiple stores, quick updates, and more. There is no other open-source or commercial SDK that offers the same level of performance and functionality. Costs of developing Video Targeting AI in-house: years and millions of dollars.

Apart from fashion, the technology suits for all categories with high visual modality in purchasing decisions: clothes, accessories, fourniture, jewelry and more. 

Scene-based Video Content Targeting

We also affer a version of video content targeting which can be used to target products to the whole scenes in video - like advertising of mountain tours / equipment for mountain sports while seeing a beautiful mountain landscape or car services / auto goods when watching a few cool minutes with a car as a central object. 

The Video Content Targeting platform delivers true new ways of increasing revenues using state-of-the-art AI technologies. It is trusted by top companies, including leading marketplaces and top TV channels.

Target Customers

For e-commerce, video-on-demand platforms and ad tech companies, video content targeting provides additional revenue sources. It offers new ways of building ads that effectively reach their audience without relying on cookies or other tracking methods. 

Quick fact: In 2022 Apple's Privacy Changes Slashed Ad ROI by almost 40%

Additionally, video content targeting preserves unobtrusive, engaging, and retaining user viewing experience, as the ads are more relevant to the current context, user interests, and emotional state.

Quick fact: 55% of TikTok users had actually made a purchase after seeing a brand or product on the platform. 49% of TikTok users say the platform helped them make purchasing decisions.

By using video content targeting, linear / broadcast TV can provide a more personalized and relevant ad experience for viewers, making it a valuable solution for advertisers looking to reach their target audience in a more effective and engaging way. Additionally, video content targeting can help classic TV services to remain competitive in the face of increasing competition from online video platforms, which offer more targeted and personalized ad experiences.

Quick fact: The Interactive Advertising Bureau (IAB) reports that 4 in 10 US agency and marketing professionals have reallocated ad dollars from linear TV to spend on CTV, and EMARKETER predicts linear TV ad spending will drop from $61.74 billion USD in 2024 to $56.83 billion in 2027.

About Us

Our company has been built by senior deep learning & reverse image search developers from leading Google and YouTube search competitor and $10Bn machine learning expert Yandex, the developers of digital signal processing SDK for Apple, AT&T, Adobe, Microsoft Skype, Blizzard Entertainment, Viber, BT, Polycom, Toshiba, and professionals with 5+ years background from e-commerce platforms with 100M+ monthly active users. 

We have over 15 years of experience in creating image & video content recognition and Content-based Image Retrieval solutions for advanced digital products and services. Our team members hold two international patents and include winners of international fashion recognition competition.

We know a thing or two about high-quality, high-performance, scalable deep learning, thousands of corner cases from the e-commerce world, and all APIs required for seamless integration with your service.