SwingCare
From idea to a product that plays for the player
An iOS + Android + Apple Watch mobile app for AI-powered rehabilitation and golf injury prevention. Built in collaboration with UK coaches and Czech sports physiotherapists.
Project in numbers
3 months
Development time
82,000
Scientific pages parsed by AI
320 H
Hours of lectures analyzed
370%
Better training suggestions
Origin of the project
The project was created in collaboration with a British client, a team of UK coaches with professional golf experience, and a group of Czech sports physiotherapists. The British side brought deep golf training know-how and a clear understanding of the local market.
The Czech physiotherapists provided the scientific foundation: clinical protocols, rehabilitation processes, and a database of movement patterns. Bringing these two worlds into one digital product was Saham's task. We came in as a tech partner and are leaving as the product's co-founders.
Key insight from research
The average amateur golfer plays 40+ rounds a year and ignores the body's warning signs until the pain becomes unbearable. At that point, they spend 5-15x more on physiotherapy than regular prehab would cost.
SwingCare enters the moment before pain, and that is its business model too. High-fidelity sensors on the Apple Watch and fine-tuned AI algorithms make prehab accessible right on the green.
How we worked
01 Discovery Sprint
We sat at one table with coaches, golfers, and doctors to outline the core requirements and establish product metrics.
02 Brand & Strategy
We designed the name, identity, tone of voice, and launched a landing page that gathered hundreds of waitlist leads before release.
03 AI & MVP Development
We processed 82,000 pages of science into custom models. We coded the Flutter app and native WatchOS sensor listeners.
04 Launch & Analytics
We launched carefully on app stores, monitoring user flows and correcting drop-off points immediately based on telemetry.
05 Growth & Scaling
We remain active partners, planning Garmin integration and structuring B2B partnership programs for golf clubs.
AI in the product
Apple Watch Swing Analysis
The watch records every swing using high-precision gyroscope and accelerometer data. The custom AI Rehab Engine automatically detects compensations like back overload or shoulder asymmetry, cross-referencing it with the player's pain history.
Tailored Pre-Game Warm-up
Before a round of golf, the app compiles a customized 5-minute dynamic stretching routine targeting the specific tight muscle areas detected in the player's recent swings.
We think about growth
01 Viral Loop
Sharing metrics and comparing swing score dashboards inside local golf communities.
02 Waitlist Campaigns
Acquired over 800 premium beta contacts through active pre-launch waitlist targets.
03 B2B Channel
Designed strategic communication packages for partner golf clubs to distribute to members.
Want to build an AI-powered product?
Discuss sensor integration, machine learning architectures, and MVP scoping with our co-founding partners.
Start a Collaboration