sportlogic day 2 by eva blue 146

sportlogic day 2 by eva blue 146

Applied AI technology

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.

Technology tracks

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

tracking system

Machine learning

  • Reinforcement learning
  • Natural language processing
  • Recommendation systems
  • Explainable artificial intelligence
  • Time series modelling
  • Predictive analytics

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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

  • 21 AI Researchers
  • 17 PhDs
  • 12 Academic Advisors
  • 9 University Research Labs 

Sportlogiq CVPR Team

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

A Conversation with SLiQ Labs Academic Advisors