Tech Beetle briefing IN AI

Can AI make you a better cricketer? Str8bat co-founder Gagan Daga thinks so

Essential brief

Str8bat, a sports technology company, has developed a sensor-based system that uses artificial intelligence to analyze cricket batting performance. The device attaches to a cricket bat and captures

Key topics

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Key facts

Str8bat uses a sensor attached to cricket bats to capture detailed motion data without cameras.

The system analyzes movement through physics-based models before applying AI for coaching insights.

Players receive objective visual feedback and personalized recommendations to improve batting.

The technology aims to make professional-level coaching accessible to grassroots and amateur players.

Highlights

Str8bat was founded in 2017 to develop accessible cricket performance measurement tools.

The device captures metrics such as bat speed, impact position, and swing characteristics.

AI interprets validated motion data to provide actionable coaching advice, not just raw statistics.

The technology offers immediate feedback, helping players adjust their technique quickly.

Future plans include expanding into other sports and launching new products in the coming months.

Why it matters

Str8bat’s technology bridges the gap between professional and amateur cricket coaching by providing accessible, data-driven insights into batting performance. This innovation has the potential to transform grassroots sports training in India and beyond, enabling players without access to elite facilities to improve their skills effectively. By combining sensor data with AI, Str8bat offers a scalable model for enhancing athletic performance across multiple sports.

Cricket holds a significant cultural place in India, with fans and players deeply passionate about the sport. While professional teams have long used technology and data analytics to enhance performance, amateur players often lack access to such resources. Str8bat addresses this gap by combining sensors, software, and artificial intelligence to provide detailed analysis of batting performance.

Str8bat’s device is a small sensor that attaches directly to the cricket bat, capturing movement data such as bat speed, impact speed, bat path, timing, balance, and sweet spot consistency. Unlike traditional video-based analysis, this sensor-based approach does not require cameras or special infrastructure, making it more accessible and convenient for players at all levels.

The system processes raw motion data through physics-based models to accurately represent a player’s movements. Only after this deterministic analysis does AI interpret the data to generate actionable insights and coaching recommendations. This layered approach ensures that feedback is based on factual movement patterns rather than probabilistic guesses.

Players receive visual representations and plain-language explanations of their batting technique, enabling them to identify strengths and areas for improvement. This immediate, objective feedback helps players make adjustments quickly, which is especially valuable given the rapid nature of batting motions.

Str8bat aims to democratize access to professional coaching insights, particularly benefiting players outside major urban centers who may lack elite training facilities. The technology is designed to assist coaches rather than replace them, providing data-driven support to enhance skill development.

Looking ahead, Str8bat plans to expand beyond cricket into other sports such as athletics, baseball, football, basketball, and tennis. The company is developing new tools to apply its sensor and AI technology across various athletic disciplines, with upcoming product launches expected in the near future.

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