A Practical Computer Vision Roadmap for Sports Tech Founders
Learn how to move from manual video analysis to human-in-the-loop workflows, proprietary datasets and custom AI models - without burning budget on premature automation.
Download the roadmapWho it's for
This guide is for founders, CTOs and product teams building sports tech products based on video analysis, movement assessment, coaching feedback or performance intelligence.
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Athlete performance analysis
Extracting meaningful stats from player movement.
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Technique improvement
Correcting form with AI-powered coaching loops.
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Tactical video analysis
Team-level insights and spatial strategy.
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Coaching platforms
Tools that augment humans, not replace them.
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Fitness and movement assessment
Biometric analysis and health tech integration.
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Club or academy analytics
Enterprise-scale data management for elites.
What's Inside
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Why many sports CV startups train custom models too early
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How to validate demand with manual expert analysis
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How human-in-the-loop workflows help scale expert feedback
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What technical components are needed at each stage
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When it makes sense to build a proprietary data layer
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How to approach custom model training realistically
Why Paradigma.ST
Paradigma.ST helps sports tech founders design and build realistic video-based AI products - from early validation and back-office expert workflows to data layers, automation and future custom model training.
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