Blueskeye AI

BLUESKEYE AI uses machine learning to analyse social, emotional and medically relevant expressed behaviour, delivering objective, real-time data with greater accuracy than human observation.

2019

YEAR FOUNDED

2019

DATE FIRST INVESTED

Measuring social, emotional and medically relevant expressed behaviour with AI
School of Computer Science

Profile

BLUESKEYE AI uses machine learning to analyse social, emotional and medically relevant expressed behaviour, delivering objective, real-time data with greater accuracy than human observation.

Co-founded in 2019 as a spin-out from the University of Nottingham’s School of Computer Science by Professor Michel Valstar, BLUESKEYE AI commercialises over 22 years of research on expressed emotion through its innovative technology.

Its clinical-grade solutions have been rigorously validated in extensive clinical trials, demonstrating both efficacy and safety. Committed to innovation and data security, BLUESKEYE AI holds ISO 27001 certification and complies with the EU AI Act and GDPR.

The technology is deployed across healthcare and wellbeing, FMCG, social robotics, and automotive sectors. The company also maintains a robust intellectual property portfolio covering its core technology and applications.

BLUESKEYE AI’s mission is to improve wellbeing and patient outcomes by creating objective, accessible, scalable and affordable mobile apps for mental health monitoring—available to both the public and medical professionals.