Seedtag Advertising SL is a Madrid-based advertising technology company that uses AI and machine learning to analyze content context rather than user behavior. Founded in 2014 by two former Google engineers, the company has grown to more than 600 employees across offices in Madrid, New York, and Sydney. Their core platform processes images, text, and sentiment in real-time to match advertisements with editorial content - targeting moments rather than people, which sidesteps the personal data collection that third-party cookies enabled.
The technical architecture centers on what Seedtag calls neuro-contextual advertising: computer vision for image understanding, natural language processing for text analysis, and sentiment analysis to detect emotional resonance within content. Instead of tracking users across sites, the system reads the page itself - analyzing what's there, not who's reading it. This approach positions the company for a post-cookie advertising environment where privacy regulations and browser changes have made behavioral tracking increasingly unreliable. The platform operates at scale, processing content and serving ads in real-time across publisher sites.
From a security and privacy engineering perspective, the business model creates different threat surfaces than traditional adtech. There's no personal identifier graph to protect, no cross-site tracking infrastructure to secure, and theoretically less regulatory exposure under GDPR and similar frameworks. The technical challenge shifts to content analysis accuracy, real-time processing reliability, and ensuring the AI models don't introduce bias or manipulation vectors. For engineers interested in privacy-preserving systems, machine learning operations, or the practical implementation of contextual targeting at scale, Seedtag represents one instantiation of how digital advertising is restructuring around privacy constraints rather than fighting them.