SLiQ Labs is developing AI technology that is used in real-world applications at massive scale. We are pushing the boundaries of computer vision and machine learning research.
Our technology is currently powering Sportlogiq’s full suite of sports analytics products.
SLiQ Labs focuses on two main areas of AI research:
Computer vision
Action / group activity recognition
Body pose estimation
Multi-target tracking
Object detection and recognition
Person re-identification
Semantic segmentation
tracking system
Machine learning
Reinforcement learning
Natural language processing
Recommendation systems
Explainable artificial intelligence
Time series modelling
Predictive analytics
line breaking
Powering Sportlogiq’s sports analytics products
SLiQ Labs research and technology is helping to solve the biggest issues facing the sports industry today
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Pro
Sportlogiq’s pro data is used by professional sports teams and leagues in hockey, soccer and football. It is used for player recruitment, match analysis, scouting, and much more.
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Media
Sportlogiq’s media products are used in digital and broadcast media. Media partners are transforming the fan experience with Sportlogiq’s AI-driven insights.
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Betting
Sportlogiq is increasing demand for newly created deep, rich data in the sports betting space and helping industry stakeholders gain an edge with its predictive models.
Our work is built on the individual strengths of our researchers and collaborators and we encourage a multidisciplinary approach to solving problems.
We are looking for researchers like you to join our community.
An all-star AI team
20 AI Researchers
15 PhDs
12 Academic Advisors
9 University Research Labs
Sportlogiq CVPR Team
Our academic community
SLiQ Labs has built an all-star innovation team comprised of the top researchers in AI, supported by the best brains in academia.
We collaborate with prominent academic advisors as well as fund research at some of the world’s most prestigious universities.
Greg Mori, Simon Fraser University
Oliver Schulte, Simon Fraser University
Luke Bornn, Simon Fraser University
Pascal Poupart, University of Waterloo
Alexander Wong, University of Waterloo
Eric Granger, École de Technologie Supérieure
Jim Little, University of British Columbia
Leonid Sigal, University of British Columbia
Martin Levine, McGill University
Russ Steele, McGill University
Ian Shrier, McGill University
Kwang Moo Yi, University of Victoria
A conversation with SLiQ Labs academic advisors, Greg Mori & Jim Little
