Seedtag’s Liz Named “AI-based Advertising Solution of the Year” in 2025 Artificial Intelligence Breakthrough Awards Program

Prestigious International Annual Awards Program Honors Standout AI Companies & Solutions
 

Seedtag, the leading neuro-contextual advertising company, today announced that its AI, Liz, has been selected as “AI-based Advertising Solution of the Year” in the 8th annual AI Breakthrough Awards program conducted by AI Breakthrough, a leading market intelligence organization that recognizes the top companies, technologies, and products in the global Artificial Intelligence (AI) market today.

Seedtag offers privacy-first advertising throughout the open web display, video, and CTV. Global brands and agencies can discover relevant audience interests using a sophisticated graph fueled by contextual data from over 12,000 premium publishers, helping reach the right audience at the right moment, with the right message. 

From Scanning Pages to Understanding People
Liz’s AI system can process unstructured data across text, metadata, images, and videos, and the solution integrates natural language processing (NLP), deep learning, and computer vision to analyze content in over 10 languages from more than 12 billion source articles. Grounded in neuroscience, Liz ensures unbiased targeting by matching ad placements to moments of high interest, emotional connection, and intent rather than behavior or demographics. Neuro-contextual goes beyond traditional, upper-funnel contextual targeting and offers full-funnel results by understanding how people think, engage, and make decisions.

Conversational Intelligence for Custom Outcomes
Through an intuitive, conversational interface, Seedtag activates Liz’s neuro-contextual intelligence via the Liz Agent—powered by the latest advancements in Agentic AI. This enables clients to interact with Liz more naturally: interpreting complex prompts, streamlining activation, and tapping into Seedtag’s design studio to tailor creatives with genAI. 

“Being named ‘AI-based Advertising Solution of the Year’ at this year's AI Breakthrough Awards is a strong validation of our mission to help modern marketers turn contextual data into smarter, more effective strategies,” said Jorge Poyatos, co-founder and co-CEO at Seedtag. “Whether you're looking to reach your full audience, ensure brand safety at scale, or tap into rich consumer insights, our solutions offer custom solutions for every brand. Neuro-contextual isn't just about ad placement—it's about truly understanding the consumer. We’ve spent over a decade advancing our AI and breaking new ground in what’s possible with AI-powered advertising, and we’ll continue on that journey for the next ten years.”

The AI Breakthrough Awards shine a spotlight on the boldest innovators and most impactful technologies leading the charge in AI across a comprehensive set of categories, including Generative AI, Computer Vision, Agentic AI, and many more. This year’s program attracted more than 5,000 nominations from over 20 different countries throughout the world, underscoring the explosive growth and global importance of AI as a defining technology of the 21st century.

“Liz possesses a human-like understanding of the context of the content on a web page, going far beyond categories and keywords to offer advertisers precise targeting with impactful results. Conventional targeting methods rely on static keyword or category-based matching. Contextual AI analyzes content to determine meaning, tone, and themes without tracking the viewer,” said Steve Johansson, managing director, AI Breakthrough. “Liz’s unique capabilities and in-house development set it apart from competitors. Seedtag’s solutions stand out in their precision, speed, and adaptability, allowing advertisers to harness advanced targeting without compromising user privacy or brand safety.”

Liz has been independently developed in-house for over a decade and is now managed by a team of more than 100 engineers. This continuous innovation ensures Seedtag stays at the forefront of AI-driven neuro-contextual targeting.