Why did we create junbi?

We created junbi to solve a persistent problem in the advertising industry. Pre-testing video ads has historically been expensive, subjective, and time-consuming. Because of these barriers, testing is often skipped entirely. junbi was built to give digital and video advertisers a fast, cost-effective way to measure ad effectiveness scientifically before spending any media budget.

The Neuroscience Foundation

The platform is built on years of applied neuroscience. Traditional lab-based research uses tools like EEG and physical eye-tracking to measure exactly how a human brain responds to media. While this data is incredibly accurate, setting up a lab and recruiting participants simply cannot match the fast pace of modern digital marketing.

Our parent company, alpha.one, recognized that this rigorous scientific methodology could be translated into artificial intelligence.

From the Lab to Machine Learning

The development of junbi was guided by our Scientific Director, Dr. Ingrid Nieuwenhuis. Her background bridges the gap between academic neuroscience and practical advertising. After earning her PhD studying brain processing, she used EEG and eye-tracking at Nielsen to measure how audiences respond to TV ads and packaging. She later joined Facebook's R&D team to study the specific and unique demands of digital advertising.

The core mission at junbi was to take those decades of lab-based insights and automate them. We wanted to provide the same level of scientific rigor without relying on physical lab equipment or human participants. By using advanced machine learning, we built a scalable platform that predicts human attention using only the video file itself.

Pro Tip

Test Early and Often: Because we removed the traditional barriers of time and cost, you no longer have to wait for a finished ad to start testing. Upload your early animatics or rough cuts to junbi to see if the core visual concepts hold attention before you commit to final production.