Assess Your Service Performance With Computer Vision Technology

Winner of the EdTech Special Award at Japan e-Learning Awards 2017

Our performance assessment software Maido measures and tracks changes in people’s level of engagement; in other words, degree of attention. The engagement measurement enables you to understand how good the performance of your service or content is to attract people’s attention and how to improve them effectively. Our solution is applicable in various industries, such as education, entertainment, and advertisement.

How It Works

Our proprietary algorithms analyze head pose and gaze movement and calculate engagement score every second (Patented).

Head pose score
Face Tracking Technology
Gaze score
Gaze Tracking Technology
Engagement Calculation Algorithm Real-time Engagement score Engagement Score

Engagement Score

Paying attention

Engagement Score

Paying rapt attention

Engagement Score

Distracted or not interested Engagement measurement enables you to objectively assess how good the performance of your service or content is to attract people’s attention. Enhance Your Service Performance with Engagement Data
e-LearningAudience RatingAdvertisement
Assess your service and content by analyzing engagement data
Interests Behavioral patterns Attention Distraction Viewing time Number of viewers
Further development is ongoing to collect the following data
Emotions Gender Age


Our engagement technology can be used in a wide range of areas

Online proctoring
Video control
Audience ratings
Smart healthcare

Who are behind the engagement innovation project?

Steve Capps

Steve Capps

Technical Advisor of this project and one of the designers of the original Macintosh Apple computer. Currently working at Silicon Valley start-up PayNearMe, focusing on online payment systems.

Catalin Voss

Catalin Voss

MA in Artificial Intelligence

Born in Germany. At the age of 12, taught himself iOS app development, releasing apps on iTunes Store. Entered Stanford University at the age of 17. Founded Sension at a Stanford startup accelerator StartX.

Tom Sayer

Tom Sayer


Born in the UK. Graduated from the University of Cambridge with first class honors in Math and Psychology. Worked as an intelligence officer in the British Army for 6 years. Awarded a MBA from Stanford University (2014).

Nick Haber

PhD (Mathematics)

Awarded a PhD in Mathmatics from Stanford University. Led the development of Sension technology. Currently leading a project with Voss at Stanford’s School of Medicine to develop emotion recognition technology for autism therapy

sension Sension, established in 2012 with support from a Stanford startup accelerator, is a visual interface company seeking to revolutionize the way we learn. Catalin Voss and his team and Stanford affiliates developed a facial recognition software that works with a simple webcam. In summer 2013, Sension was admitted to the prestigious Summer@Highland program, a collegiate startup accelerator sponsored by Highland Capital Partners. An $18,000 grant allowed Voss and his cofounder, to develop on the application for online education. Gaia System Solutions invested in Sension in 2015 and became Sension’s strategic partner in the Asian market.

We are looking for partners

Gaia System Solutions is looking for business partners to further develop
our engagement solutions. If you are interested, please contact us.

GAIA System Solution Inc. Contact

Innovation Company for Embedded Systems and IoT - Gaia System Solutions