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.
The $226B video ad market is collapsing under ad fatigue, privacy regulation, and zero commerce integration. The industry needs a fundamentally new approach.
Traditional pre-roll and banner ads suffer declining engagement. Viewers actively avoid or skip irrelevant ads. The old model of interruption-based advertising is dying.
Apple's ATT cut ad ROI by ~38%. Cookie deprecation and GDPR leave advertisers without targeting signals. 95% of ad leaders predict further signal loss.
IAB reports 4 in 10 agencies shifted budgets from linear TV to CTV. $5B in linear TV ad spend will vanish by 2027.
55% of TikTok users purchased after seeing a product in video. Yet most streaming platforms and CTV have zero commerce integration.
Enter fashion e-commerce. Half of $1.2T fashion purchases are spontaneous — triggered by seeing the right item at the right moment. Yet the world's largest content library — video streaming and TV — has zero commerce infrastructure. VideoTarget.AI turns every frame into a storefront.
Video Content Targeting for fashion e-commerce. Our computer vision detects clothing, accessories, and products offline or in real time - 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 90%+ quality (Video2Shop dataset). 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× efficiency 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 world-class ML 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 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.
Led product and AI strategy at one of the world's largest fashion e-commerce platforms ($45B+ annual GMV, 10M+ orders daily), implementing visual search and AI recommendations. 30% of audience adopted visual search tools.
VideoTarget.AI pioneered video-targeting solutions deployed across major TV and video platforms.
Contextual targeting provider for a leading interactive TV platform and top-tier TV channel, paired with the largest e-commerce player in Europe. Interactive overlay ads served via HbbTV standard.
Largest social network in Europe — movies, series, UGC verticals. Pause video → click "Products in frame" button reveals matched items to buy. VideoTarget.AI powers contextual fashion targeting.
A TV ecosystem app developer partnered with major TV channel and e-marketplace. Products from the current frame appear in a dedicated companion app on the viewer's phone in real time.
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.
No other commercial SDK offers product-level video content targeting with comparable precision, scale, and cost efficiency.
Built by senior Yandex engineers who competed directly with Google. 90%+ recognition accuracy. 1B+ item dataset with advanced design. World's most advanced training pipeline. Proprietary vector search. Unparalleled cost efficiency.
Both product-level (fashion SKUs) and scene-level (IAB categories) from the same platform. One SDK, two revenue streams.
REST API, SaaS, on-premise SDK, or full source code license. Integration measured in weeks, not months.
Built from ground up without cookies. Not a retrofit. True privacy by design — GDPR, CCPA, ePrivacy compliant.
Join the next generation of contextual video advertising. See VideoTarget.AI in action with your content.