AI Sports Analytics
Turn match video into coaching insight — automatically.
The problem
Technique and performance review is manual and slow, so coaches lose objective signal from hours of footage.
What it does
Computer-vision models analyse technique, speed, accuracy, and patterns from video, sport by sport. Weightlifting is deploy-ready; badminton, table tennis, and boxing are in development.
Built for
Modules & features
What’s inside.
- Weightlifting — deploy-ready
- Badminton — deploying
- Table tennis — in dev
- Boxing — in dev
How it works
From registration to result.
- 01
Capture
Match or training video is ingested per sport.
- 02
Analyse
Computer-vision models read technique and patterns.
- 03
Measure
Objective metrics — speed, accuracy, reaction time.
- 04
Coach
Insights feed back into the athlete record.
Proof of value
How it helps — shown, not just told.
Technique and performance review is manual and slow, so coaches lose objective signal from hours of footage.
Computer-vision models analyse technique, speed, accuracy, and patterns from video, sport by sport.
Objective metrics — lift type, shot accuracy, reaction time — without manual review.
High value, low effort.
Effort from input to result.
| Manual | CSS | |
|---|---|---|
| Single source | — | ✓ |
| Real-time | ~ | ✓ |
| Auditable | — | ✓ |
| Public-ready | ~ | ✓ |
How it helps
Objective metrics — lift type, shot accuracy, reaction time — without manual review. Presented honestly by readiness stage.
Standards & security
FAQ
Common questions.
Tell us what must work.
Competitions, athletes, facilities, results, or a full state stack — start with a brief and we’ll map the path.