Sportlogiq uses patented computer vision and machine learning to automatically extract detailed player and puck tracking data from video feeds, delivering raw data, analytics dashboards, and video overlays. The platform provides real‑time, high‑resolution metrics that teams, leagues, broadcasters, and analytics firms use for coaching, scouting, and data‑rich storytelling, with a focus on hockey.
Funding
$5M raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
2ORCFounders
Product
Problem
Sports teams, leagues, and media organizations often lack precise, real-time data on player movements and game events, limiting their ability to perform advanced performance analysis, strategic planning, and engaging content creation.
Solution
Sportlogiq applies patented computer vision and machine learning to video feeds of sporting events, automatically extracting detailed player and puck tracking data that surpasses human observation. The platform delivers structured raw data, analytical insights, and video overlays that can be integrated into team analytics pipelines, broadcast graphics, and scouting workflows. By providing consistent, high‑resolution metrics across games, Sportlogiq enables coaches to refine tactics, analysts to generate deeper performance reports, and media partners to produce data‑rich storytelling. The solution is sport‑agnostic but currently focuses on hockey, where it serves as the industry standard for AI‑driven analytics.
Target Audience
Primary customers are professional hockey teams, leagues, broadcasters, and performance analytics firms that require granular, automated game data for coaching, scouting, and content production.
Features
- Automated multi‑object tracking that captures player positions, speeds, and on‑ice interactions at sub‑second intervals
- Proprietary machine‑learning models that identify events such as zone entries, shots, and turnovers without manual tagging
- Exportable raw data feeds and aggregated analytics dashboards compatible with common sports analytics tools
- Video augmentation layer that overlays tracking visualizations directly onto broadcast footage for enhanced viewer experience
- Scalable cloud processing pipeline that handles live and archived game footage for leagues, teams, and media outlets