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How to create breakthrough AI features on mobile
Your real-time mobile AI assistant starts here. Learn how we helped SWEE create a golf swing analysis with low-latency, CoreML-powered mobile AI.
Explore a real-world use case
Low-latency swing detection
A custom CoreML model detects swings in real-time, even with unreliable connectivity.
On-device AI processing
Designed for battery efficiency and fast feedback without needing cloud dependency.
Custom UX for golf courses
Tailored UI that works outdoors, with color-coded visual feedback and camera overlays.
Why this solution worked
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Improved user experience
Swing feedback without delay, even with poor cellular service
Reduced infrastructure costs
No need for per-hole cameras. Just a phone and tripod
Caddie-friendly
Simple interface, no tech background needed
What actual users say
Have tried other automated swing detection apps. They all failed for a variety of reasons. Swee worked flawlessly! The analysis was very specific and I was able to focus my practice sessions!
This app is incredible. I learned more about what I needed to fix my golf swing in 20 minutes than in a 2 hour lesson with a local pro. It gives you a ton of metrics and information on how to improve your swing.
I was able to lower my handicap from an 11 to a 7.1 in just one month with Swee. It not only identifies parts of your swing in need of a fix but it shows you training videos from teachers that have an instant impact on your game.
Start building smarter apps today
Your real-time mobile AI assistant starts here. Learn how we helped SWEE create a golf swing analysis with low-latency, CoreML-powered mobile AI.