Former MLB Players Lead Ember Sports Mobile App, Bringing Pro-Level Training to Athletes Everywhere

· Source: The AI Journal · Field: Technology & Digital — Artificial Intelligence & Machine Learning, Emerging Technologies & Innovation, Data Science & Analytics · Depth: Novice, short

Summary

Ember Sports, a sports technology company, launched a new mobile app on April 21, 2026, designed to provide professional-level baseball and softball training tools to athletes nationwide. Developed in collaboration with former MLB players and coaches Brady Clark and Damon Mashore, the iOS app offers real-time performance insights using a mobile device, eliminating the need for costly hardware. Its capabilities include Hitting and Pitching Analyzers with video replay, telestration, and side-by-side comparisons. The platform also integrates virtual reality to teach advanced skills like pitch tunneling, simulating live pitching environments. Ember aims to expand access to advanced training for over 25 million U.S. athletes with a subscription starting at $12.99 per month.

Key takeaway

For product managers developing sports technology, your focus should be on reducing hardware dependency and leveraging existing mobile capabilities to lower user costs. Consider integrating VR for advanced skill development, as Ember Sports has done with pitch tunneling, to create a "disruptive technology" that expands market access beyond professional athletes. This approach can significantly broaden your user base and product appeal.

Key insights

Ember Sports democratizes professional baseball/softball training via mobile and VR, making advanced analytics accessible.

Principles

Method

The Ember app uses built-in iOS video capture for immediate feedback, offering Hitting and Pitching Analyzers. It also employs VR to simulate live pitching and teach advanced pitch recognition and tunneling.

In practice

Topics

Best for: Product Manager, Entrepreneur, AI Product Manager, Tech Journalist, Domain Expert

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Editorial summary, takeaway, and curation by AIssential. Original article published by The AI Journal.