VideoTarget.AI
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VideoTarget.AI
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Use computer vision and audio intelligence to place contextually relevant ads inside video content — without cookies, without intrusion, with dramatically higher ROI.
A $1.2 trillion fashion e-commerce market, a 40%+ return rate crisis, and the death of the cookie. VideoTarget.AI sits at the intersection of every trend that matters.
Video Content Targeting for fashion e-commerce. Our computer vision detects clothing, accessories, and products in real time - instantly matching them to your catalogue for shoppable overlays.
Frame-by-frame computer vision identifies clothing, shoes, bags, jewelry, and accessories worn by on-screen talent - across any video format from TikTok to broadcast TV.
Detected products are matched to your e-commerce catalogue in real time, using visual similarity search with 87% top-10 precision. Viewers see what they want, when they want it.
Non-intrusive product cards and "shop the look" overlays appear contextually - no pop-ups, no interruptions. Just a seamless path from inspiration to purchase when you hit the Pause button.
AI-powered video advertising in IAB content taxonomy style that understands scenes, objects, dialogues, and moods - delivering 2× engagement without cookies or privacy concerns.
Scene classification, object detection, setting & environment recognition
Dialogue transcription, sentiment, music mood, topic extraction
Multi-modal understanding combines visual + audio into rich scene context
Contextual ad placement matched to scene mood, objects, and brand safety
Built by ex-Yandex Video Search engineers and the team behind AI systems serving 100M+ monthly users and processing billions of queries across major internet search ecosystems, global ads networks and biggest e-commerce platforms.
Developed and deployed the video understanding and visual search infrastructure for the world's top-3 internet platform, serving 80M+ monthly active users with real-time scene classification and object detection across billions of video frames.
Led product and AI strategy at one of the world's largest fashion e-commerce platforms ($45B+ annual GMV, 20M+ orders daily), implementing visual search, automated catalogue tagging, and AI-powered recommendations. 30% of the audience use visual search tools every month.
Purpose-built for the entire video advertising value chain - from content creation to viewer conversion.
AVOD/SVOD video streaming and Linear TV - unlock contextual ad revenue without degrading viewer experience or requiring login data.
Embedded AI layer for smart TVs and set-top boxes. Scene-aware ad insertion at the hardware level for premium inventory.
Transform product videos, influencer content, and UGC into shoppable experiences with real-time "shop the look" overlays.
Contextual targeting signals as a service. Enrich bid requests with scene, mood, and object data for premium CPMs - fully privacy-compliant.
Designed by world-class ML teams with experience building video search and AI systems at internet scale.
Sub-200ms end-to-end latency. Optimized for live streams and VOD at scale with GPU-efficient model architecture.
Zero user data collection. Zero cookies. GDPR, CCPA, and COPPA compliant. All targeting is based on content, not users.
SaaS API, on-premise, or edge deployment. VAST/VPAID compatible. Server-side ad insertion (SSAI) ready.
Proprietary models that fuse visual and audio understanding. Not just object detection - full scene comprehension.
Automatic content classification prevents ads from appearing near violence, controversy, or off-brand contexts.
Full analytics dashboard with attention metrics, viewability scores, and conversion attribution per scene context.
Join the next generation of contextual video advertising. See VideoTarget.AI in action with your content.