In an industry defined by constant change, recognition doesn’t come from keeping up. It comes from redefining the way things are done.

I’m proud to share that Seedtag has been named a winner in the 2026 Artificial Intelligence Excellence Awards. Hosted by the Business Intelligence Group, this global program has spent more than a decade recognizing the companies and AI solutions that are redefining what responsible, results-driven artificial intelligence looks like in practice. This year’s awards brought together winners across 36 industries and more than 15 countries.

For me, Seedtag being named among this year’s AI awards winners is more than a milestone. It reflects a broader shift happening across advertising. Artificial intelligence is no longer just about automation or efficiency. It’s about understanding people more deeply, more responsibly, and in a more human way.

But the real story isn’t the award itself. It’s what it represents.

Key Takeaways

• AI awards are evolving to recognize AI solutions that prioritize human understanding, not just scale
• The most impactful AI solutions interpret context, emotion, and intent, not just data signals
• Artificial intelligence is shifting from automation to meaning, enabling more relevant and respectful advertising
• Neuro-Contextual AI reflects this new standard, aligning technology with how people think, feel, and decide
• The future of advertising is built on understanding the moment, moving from relevance to resonance

A New Standard for AI in Advertising

For years, AI in advertising has been associated with scale. More data. More signals. More optimization. But scale alone doesn’t create relevance.

What I’m seeing now, and what these AI awards are beginning to recognize, is a shift toward a different kind of AI solution. One that doesn’t just process information faster, but understands context with greater depth and nuance. One that moves beyond identifying patterns to interpreting meaning.

This is where artificial intelligence starts to feel less like a machine and more like a system designed around how people actually think, feel, and decide.‍

From Data Processing to Human Understanding

Traditional approaches to AI in advertising have relied heavily on categorization. Keywords, segments, and predefined audience groups.

But people don’t experience content in categories. They experience it in moments. That idea has shaped how we’ve built our technology from the very beginning.

Our Neuro-Contextual AI, Liz, was designed to move beyond static signals and into dynamic human understanding. It interprets interest, emotion, and intent across content environments to identify when someone is most receptive to a message.

Because relevance isn’t about reaching more people. It’s about reaching people in the right moment.

Intelligence Grounded in How People Think

I’ve always believed that technology reaches its full potential when it aligns with human behavior, not when it tries to override it.

That belief is what led us to develop our Neuro-Contextual approach. By combining neuroscience with advanced AI, we set out to create a more human-like understanding of content and context.

Instead of relying on who someone is, we focus on what matters in the moment:

• What captures attention
• What shapes emotional response
• What signals intent

From a technical perspective, this shift changes everything. When AI is built around human cognition, advertising stops feeling like an interruption and starts becoming part of the experience.

Innovation That Delivers Real Impact

Being recognized in these AI awards also reflects something I care deeply about. The need for measurable, meaningful impact.

Innovation alone isn’t enough. It has to perform.

That’s why our Neuro-Contextual approach has always been grounded in both science and results. Research shows that aligning advertising with human signals like interest, emotion, and intent drives stronger engagement and more positive responses.

At the same time, building an AI solution at a global scale comes with responsibility. Processing millions of signals across the open web and CTV while remaining privacy-first isn’t a feature. It’s a requirement.

That balance between intelligence, performance, and responsibility is what defines the next generation of AI solutions.

What This Means for the Future of Advertising

The future of advertising won’t be defined by how much data we can collect. It will be defined by how well we understand the moment.

For brands and agencies, this creates a real opportunity:

• To move from targeting audiences to understanding people
• To move from impressions to a real, human connection
• To move from relevance to resonance

And for the industry as a whole, it signals something bigger. A future where artificial intelligence doesn’t just optimize advertising. It elevates it.

Recognition is meaningful, but transformation is what truly matters. Being named among this year’s AI awards winners is a moment I’m proud of. More importantly, it reinforces the direction I believe the industry must take.

Toward AI solutions that are not only smarter, but also more human. Toward advertising that doesn’t just reach people, but understands them.

Because in the end, the most powerful technology isn’t the one that processes the most data. 

It’s the one that best understands people.