AI-powered hitting intelligence that delivers root cause diagnosis, in-game adjustments, and personalized drills, from any swing, instantly.
35 million baseball and softball players receive feedback that is subjective, delayed, and disconnected from what's actually happening mechanically.
Coach's Eye extracts biomechanical data from standard video and delivers the same depth of analysis that used to require a six-figure lab setup.
No hardware. No special cameras. Any coach with a smartphone can run biomechanical analysis that required $50,000 of equipment five years ago.
From raw swing video to root cause diagnosis and drill prescription, in under 60 seconds.
Sports analytics has transformed the pro game. The $8B+ market growing at 22% CAGR barely touches the 35M amateur players who need it most.
Every competitor measures motion. We're the only platform that interprets it, identifying what went wrong, why it went wrong, and exactly how to fix it.
Built, deployed, and generating early revenue, with inbound interest from multiple MLB organizations before we've even initiated enterprise sales.
A direct-to-athlete subscription generates recurring revenue at scale while institutional licensing captures high-value, sticky enterprise contracts.
We start where trust lives with athletes on the field, then we follow the conversation upward as results prove value at every level.
Every competitor captures motion data. None diagnoses its cause. That gap is Coach's Eye.
Building a product like this requires someone who speaks the language of the dugout and the data center. Dakota Sill is one of the rare few.
Conservative growth driven by athlete subscriptions as the base, with institutional licensing as the high-multiple accelerant.
The product is built. The market is validated. MLB is paying attention. We're raising to scale distribution, not to prove the concept.