Would you like to help us fulfil our mission? If so, read more about our beta tester and data volunteer programme here, and get access to our mental health and wellbeing self-management system on your own mobile phone.


BlueSkeye AI’s mission is to improve wellbeing and patient outcomes by building objective, accessible, scalable, affordable mobile device apps for mental health monitoring and putting them in the hands of the public as well as medical professionals.

BlueSkeye AI will create new opportunities in the health and well-being sector and streamline healthcare provision through accurate, objective diagnosis, improved treatment recommendations and longitudinal monitoring of patients across the globe.

At BlueSkeye AI respect for user privacy is paramount. We create our technology with privacy included by design, from the ground up. Data collection and storage is minimised wherever practical, and we process all your data on your mobile, without using the cloud. You get to choose who you share your data with, and when you do, it is always over end-to-end encrypted channels.

Founded in April 2019 as a spin-out company from the University of Nottingham, BlueSkeye AI was born out of the desire of its founders for their research to do real good and have an impact on our world.

"AI to extract Medically Relevant Human Behaviour From Video using BEHAVIOMEDICS."



BlueSkeye AI also provides OEM solutions based on our proprietary face tracking, FACS facial muscle activation detection, and behaviour analysis to selected partners. In particular, we pride ourselves on our super-fast, light-weight algorithms that can be deployed on iOS and Android platforms.

For enquiries, please contact

Our Team

Michel Valtar is a visionary scientist and new-found entrepreneur. He's the founder and Co-CEO of BlueSkeye AI, and remains a part-time professor at the University of Nottingham, where he also is the deputy-director of the Biomedical Research Centre's Mental Health and Technology programme. Having worked for 15 years on computer vision and machine learning for facial expression analysis, Valstar now wants to see his ground-breaking research turned into real products to improve the lives of people. He is particularly interested in solving the problem of self-management of mental health using technology that runs privately on people's own hardware.
Michel Valstar
Founder, Co-CEO, R&D
PhD in Computer Science, systems and networking 4 years researching edge computing and privacy-preserving AI and Machine learning 10 years experience software engineering and project management.
Anthony Brown
Founder, Co-CEO, Product
Rebecca Ganz (Becks) is a dynamic Non-Executive Director (NED) and highly experienced strategy advisor to Boards, C-Suites and Entrepreneurs. With a NED portfolio spanning Education, Institutional Health & Business, Becks offers a compelling mix of disruptive, entrepreneurial know- how with best practice corporate governance. Core abilities include designing finely honed strategic direction underpinned by pragmatic guidance on effective implementation. She combines sensitivity to cultural and stakeholder requirements born of a global career across a range of sectors, with a readiness to challenge. As such, Becks thrives on change – guiding and facilitating ambitious, purpose driven teams to achieve each organisation’s potential.
Rebecca Ganz
NED Corporate Strategy
University of Nottingham PhD graduate with a background in machine analysis of human affect states specialised in mobile, desktop and server deployment of machine learning tools for automatic affect estimation.
Timur Almaev
Founder, Lead Machine Learning Engineer
Currently in thesis pending year of my PhD at the University of Nottingham, which specialises in deep learning with small domain specific datasets. My research has focused around semantic segmentation and action recognition with small clinical dataset. I attended the University of Nottingham for my undergraduate degree were I achieved a First-class M.Sci. degree in Computer Science with Artificial Intelligence.
Thomas Smith
Machine Learning & Computer Vision Engineer
Shashank has over 7 years of experience in the area machine learning and computer vision. Prior to joining BlueSkeye, he was a post-doctoral research fellow at the School of Computer Science, University of Nottingham where he worked in the field of automated depression analysis from facial behavioral signals. He received his PhD in Computer Science at the University of Nottingham in 2018 and enjoys working at the intersection machine learning and mental health.
Shashank Jaiswal
Machine Learning & Computer Vision Engineer
PhD graduate in Computer Science from The University of Nottingham. Specialising in mobile device development. Experience working with external companies and designers.
William Preston
Head of Product Development
Amanda gained her Doctor of Philosophy in Genetics from Nottingham University and is a member of the Institute of Chartered Accountants in Scotland (ICAS). Prior to setting up AVL Accounting & Business Advisory, Amanda worked at PricewaterhouseCoopers LLP for more than 11 years as a Senior Manager. In addition to leading external audit engagements, Amanda has advised clients on GAAP transition projects (UK GAAP to IFRS and US GAAP), financial reporting matters and technical accounting advice, including for both FTSE listed, AIM listed and non-listed clients.
Amanda Larkin
Finance Director
Shazmin is a UX specialist with experience of research and design in both academic and industry settings. She has a BSc in Psychology and MSc in Psychological Research Methods from the University of Sheffield. Prior to this role, Shazmin held lead research roles at The Institute of Mental Health (University of Nottingham) which moved into user experience research for mental health technology prior to starting her PhD at Horizon Centre for Doctoral Training. Shazmin is halfway through her PhD in designing and testing a mental health tracking device for bipolar disorder.
Shazmin Majid
Intern: UX Specialist
Keerthy Kusumam is a final year PhD student at the Horizon CDT, University of Nottingham. Her main expertise is on computer vision and machine learning. She has worked on several research problems such as pose estimation, image generation and affective computing. Previously she worked on robotic harvesting of broccoli at the University of Lincoln.
Keerthy Kusumam
Intern: Machine Learning Engineer

BlueSkeye AI is being advised by some of the world’s leading experts in mental health, digital technology, and commercial strategy.

Annalisa Jenkins
John Michaelis
Go-to-market & early adoption
Richard Morriss is a Professor of Psychiatry and Community Mental Health at the University of Nottingham and an Honorary Consultant Psychiatrist at Nottinghamshire Healthcare NHS Trust, United Kingdom. Richard's interests include depression, anxiety and bipolar disorder in all settings, implementation of service innovation, digital and neuromodulation technology, safety of drug treatments and evaluation of complex interventions.
Richard Morriss
Mental Health
I am Professor of Digital Economy in the School of Computer Science at the University of Nottingham. I am Director of Horizon an interdisciplinary research institute funded through the UKRI Digital Economy programme. My research expertise is in ubiquitous computing, computer architecture, networking, distributed systems and operating systems, while my interdisciplinary interests include issues of ethics, identity, privacy, information policy, legislation and economics within a digital society.
Derek McAuley
Data & Ethics
Chris Hollis
Trevor Lewis
Medical Regulation Consultant