Delivering Creative Intelligence

Our mission is to make advertising smarter and more effective in a fast-changing digital world

What We Do

We empower better creative decisions for effective advertising, delivering intelligence for stronger consumer connections, better business outcomes, and deeper learning.

Our Promise

We don’t just assess ads, we predict how they’ll sell, how efficiently they’ll run, and how to make them drive brand outcomes.

Our Strength

AI Native

We integrate value into any system workflow, with our interface or others, via APIs and MCPs (for LLM interfaces); AI agents redefine portability.

Ground Truth

We have the highest quality, proprietary datasets, including robust webcam measurement, human data and content tagging that powers our modelled prediction.

Drives Sales

The 0 – 100 score that is 80% accurate to human, is calibrated to sales outcomes. Every ad is instantly evaluated for creative decisions and playbooks.

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Viewing Data Frames

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Human Webcam Observations

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Countries Tested

Leadership Team

Decades of experience in Creative Intelligence and Attention Measurement

Max Kalehoff

Chief Executive Officer

Alex Browne 

Vice President of Revenue

Ana Ortega‑Gil

Vice President of Product 

Anton Chueshkov

Vice President of Engineering

Guilhem Chalancon

Chief Data Scientist

Board Members

Mihkel Jäätma 

Executive Chairman

Stuart Chapman 

Executive Director

Max Kalehoff

Chief Executive Officer

FAQs

More questions? Expand all.

Adverteyes spun off from Realeyes in 2025 to take advantage of the momentum of its Creative Intelligence approach and focus exclusively on the advertising marketplace. While Adverteyes focuses on Creative Intelligence, maximizing the sales impact of creative, and serving blue-chip advertising clients, Realeyes will focus on its groundbreaking Vision AI identity solution, Verifeye.

Our core technology is AI-native Creative Intelligence, which leverages a human data ground truth to score every creative ad. Our products use the world’s largest human-trained dataset, trained on over 336 billion frames of viewing mapped to attention and emotion from 18 million+ webcam observations of people watching over 90,000 ads in 90 countries. The system generates a sales-calibrated score by measuring Visual Attention (eyes on screen) and Emotions (facial expressions) through webcams when people are watching ads

We measure effectiveness by predicting sales outcomes and generating a sales-calibrated score for every ad. The system utilizes a 1-100 Attention Potential score that is 80% accurate to human observation and calibrated directly to sales outcomes. 

Effectiveness is determined by combining metric weights derived from attention and emotion observations, such as Attention, Happiness, Surprise, Contempt, and Confusion. This evaluation is used to instantly predict impact like attention, sales lift, and media cost.

Our AI-native models are built upon the industry’s largest proprietary content database of human human response data. This database includes: 

· Over 336 billion frames of viewing data. 

· Over 18 million human webcam observations of people engaging with ad content. 

· Data covering over 90,000 ads in 90 countries. 

This extensive existing data serves as the Human Data ground truth that powers our modeled predictions.

Yes. Our system utilizes Creative Intelligence Agents (CIA) and Content Coding to connect creative choices to outcomes. This includes: 

· Ad-Level & Scene Tagging: Identifying isolated element tags (e.g., dog) and more complex narrative events (e.g., unboxing). 

· Deeper Abstractions: Recognizing emotion tonality, storytelling, presentation style, expressivity of characters, pet interactions, social interactions, and intended audience. 

· Multimodal Tagging: Analyzing brand mentions and presence holistically from the audio and video.

Advertyes holds perpetual rights to more than 40 patents in computer vision and AI, for example: U.S. Patent 11,812,105, covering an AI-driven system that measures attention via device data streams with consumer consent, synchronizes attention with engagement drivers, and optimizes campaigns.

Adverteyes was one of the first Vision AIs to pass Responsible AI tests by Google and Meta in 2023. Our approach is founded on using real human response data. We hold exclusive Intellectual Property (IP), including a patent (U.S. Patent 11,812,105) that covers an AI-driven system that measures attention via device data streams with consumer consent. 

Accuracy is ensured because our intelligence is grounded in Human Data as Ground Truth. We trained on 18 million webcam sessions to create the Attention Potential score, which is 80% accurate to human observation. 

Yes. Our Strategic Pillars include being AI Native, enabling us to integrate value into any system workflow using our interface or others, via APIs and MCPs (Model Context Protocols) for LLM interfaces. 

Optional Workflow Integrations include: 

· Integrating the API into internal ad management systems. 

· Employing the system via existing partners, such as CreativeX or VidMob. 

· Ingesting sales data, such as MMM data, for advanced modeling. 

Adverteyes connects creative choices directly to business results, forecasting impact like attention, sales lift, and media cost efficiency (CPM). 

Clients can expect to track and improve: 

· Sales Lift: Data shows ads with high Creative Intelligence can generate a 40% higher sales return. Clients have achieved up to an 18% Sales Lift in 19 markets and over $20 million in incremental sales and optimization gains, including one brand that saw $30 million in optimization gains in the first 18 months. 

· Media Efficiency (CPM): High Attention Potential ads can achieve a 25% lower CPM. 

· Brand Outcomes: We predict how creative will drive brand outcomes and track improvements in brand health. 

Our system provides actionable Creative Intelligence tailored through: 

· Brand Playbooks: These playbooks uncover creative attributes specific to the client’s needs, identifying drivers of performance across specific markets, platforms, and categories (e.g., Influencer vs. Branded). Playbooks are refreshed every quarter. 

· Targeting: We assess ads against the client’s specific target audience and recommend placements, scheduling, and devices that maximize response. 

· Competitive Intelligence: A monthly report of up to 20 competitive ads is provided during the Pilot phase, moving to full category analysis in Year 1. 

· Optimization Diagnostics: Automated diagnostics plus scene-by-scene breakdowns and heatmaps are provided to optimize ads.

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