WeSee delivers safety, security and integrity across society and business by developing bespoke, practical, flexible, mobile-led solutions using the latest computer vision technology.
Our advanced AI technology understands every multi-layered element within images and videos in the same way humans do only better. This allows us to recognise and analyse images and faces live and in video content quickly and accurately, even when they are partially obscured.
We can also identify suspicious behaviour by recognising seven key human emotions through facial micro-expressions, eye movement, and further facial cues.
WeSee reduces claims fraud by providing assessors with key insight at point of application or first notice of loss by detecting a range of facial cues in real-time via video or mobile phone app.
WeSee drives efficiency across security companies and law enforcement agencies by detecting suspicious behaviour by analysing people’s emotions and movements in real time via video, even if it is low quality.
WeSee helps the financial sector improve the customer management experience in-store, at the cash point and on the trading floor through real-time emotional recognition, driving better service, safety and security.
“WeSee set up a system for us that could detect the sponsor’s logos and the faces of players of the Porsche European Open in the live TV stream. They built this system end-to-end for us, from the model training to the actual API that we used, and all in record time.
The output of this system was used to make it easier for the video editors on the ground, equipped with their smartphones, to find the best clips to share on social media.”
Basil Philip, CEO Genistat
WeSee’s pioneering computer vision technology imitates the human brain’s ability to understand and process all we see.
Applying the latest in deep learning artificial intelligence, our core Visual Intelligence Engine (VIE) is developed with biologically inspired programming patterns called a Convolutional Neural Network (CNN), which specialises in analysing visual imagery.
VIE learns processes that previously had to be done manually by analysing multiple discrete layers in visual content and applying our machine learning algorithms to read it like a human would – and in some cases up to 1,000 times faster with an average accuracy is in excess of 90%.
And we’re constantly innovating to continually improve performance.
Chief Executive Officer
David has an extensive background in business and technology, and over the past decade has led highly successful European technology and media organisations. Companies he has worked for include Saatchi & Saatchi, Microsoft, Adform and Expedia.
Chief Technology Officer
Stanislav holds a Master’s degree from Samara State Technical University and has been at WeSee since its foundation as lead of the algorithm team. He is the core developer of the high-performance image-processing library that is at the heart of WeSee’s technology. Stanislav’s work is based on the CNN or the Convolutional Neural Network approach to image classification.
Chief Finance Officer
André is an economist who holds an MBA from IMD. He has been a senior strategic advisor to numerous tech start-ups and holds several non-executive directorships. Until 2014, André was a Director at KPMG. He previously held positions at Oliver Wyman and OC&C Strategy Consultants. André brings over 20 years of experience in the technology, media and consumer goods sectors.
Lead Research Scientist
Natalia holds a PhD in Computer Science from Kyoto University, and an Executive MBA from Oxford University, where she is a research fellow. She specialises in the application of deep learning to biometrics and emotion recognition.
With an MSc in Artificial Intelligence and a PhD in Digital Photogrammetry, David has set up and run a range of innovative businesses in several fields including satellite navigation and geospatial engineering. He has first-hand experience in fundraising, growing multi-disciplinary teams and completing multi-million dollar licensing deals. He is also a Professor in Entrepreneurship and Innovation at the University of Nottingham’s Business School.
To operate in an ethical way in terms of society and the environment, respecting an individual’s rights and adhering to laws governing privacy and data protection.
To use our technology to promote safety, security and integrity across business and society, looking after the good guys and helping catch the bad.
Passion, Innovation, Integrity, Transparency, Accountability
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WeSee AI Ltd
37-41 Mortimer Street
Letališka cesta 16,