Realeyes
Realeyes enables brands and agencies to predict the in-market performance of video creative before media spend using scalable webcam-based facial coding and AI, reducing wasted ad spend and improving creative effectiveness.
Last updated May 22, 2026 by ATDb automated enrichment · Connections updated May 25, 2026
- Industry
- Creative Analytics & Attention Measurement
- Business Model
- SaaS
- Target Market
- Enterprise
- Employee Count
- 51-200
- Funding
- $20M
- Revenue Range
- $5M-$20M
- API Available
- Yes
A leading provider of AI-driven attention and emotion measurement for video advertising, with one of the largest proprietary databases of human emotional response to ad content.
Realeyes is a pioneering attention and emotion measurement company that leverages webcam-based facial coding, computer vision, and machine learning to quantify how audiences emotionally engage with video advertising content. Founded in 2007 and headquartered in London, the company enables advertisers, agencies, and media owners to pre-test creative assets at scale, predicting in-market performance metrics such as brand recall, purchase intent, and viewability before committing to media budgets. Its opt-in panel of consumers watches content via their webcam, and Realeyes' AI analyzes micro-expressions and attention signals in real time. The platform sits at the intersection of creative effectiveness and media planning, offering metrics that go beyond traditional survey-based research. Realeyes has developed proprietary attention metrics that are increasingly used in programmatic media contexts, partnering with major platforms and measurement companies to integrate emotional and attention data into campaign planning workflows. The company has worked with major global brands including Unilever, Mars, and GSK, as well as leading agencies. In the broader AdTech and market research ecosystem, Realeyes competes with biometric research firms and emerging attention measurement vendors. Its differentiation lies in its scalable, remote webcam methodology — enabling large sample sizes at lower cost than traditional lab-based biometric testing — and its growing suite of predictive AI models trained on one of the largest databases of human emotional response to advertising content in the industry.
EmotionAll
Core webcam-based facial coding platform that measures emotional engagement, attention, and sentiment in response to video advertising content using opt-in consumer panels.
Attention Measurement
AI-powered attention metrics that quantify whether audiences are actively watching and engaging with video content, used for both creative pre-testing and media planning.
Predictive Creative Scoring
Machine learning models trained on historical emotional response data that predict in-market KPIs such as brand recall, purchase intent, and ad memorability for new creative assets.
Creative Optimization Insights
Second-by-second emotional response analysis that identifies specific moments in video ads where engagement peaks or drops, enabling targeted creative edits.
- 2007Founded