CourtSide AI
A second-screen Wimbledon companion that turns every Sinner serve or Djokovic return into plain-English tactical context, ideal for casual fans who only watch two weeks of tennis a year.
Casual tennis fans tuning into Wimbledon finals who don't know the players beyond name recognition
- Live 'why that point' tactical explainer pushed 5 seconds after each key rally
- Head-to-head dossier covering serve speed, return depth and previous Slam meetings
- Player mood and fitness tracker based on body-language cues from the broadcast
- Predicted-final bracket you can edit before each match for a fan leaderboard
Sinner is in his second consecutive Wimbledon final, Sinner vs Djokovic is trending across multiple countries, and even Italian-language fans need help decoding the next-gen rivalry beyond the headline result.
Sinner vs Djokovic was an actual Wimbledon 2025 semi-final with heavy coverage, and IBM's watsonx already ships plain-English tactical insights in the official Wimbledon app explicitly aimed at casual and nerdy fans, confirming real pull.Ingenia – Wimbledon's technology is on point ↗How Wimbledon Is Using AI in 2026 ↗
Direct competitors are stacked: IBM/watsonx inside the official Wimbledon app, OnCourtAI as a published consumer-facing AI tennis platform, plus Sideline, Sportssense, Sports Alert and SportsCal in the broader second-screen AI sports space.Sideline — Your AI Sports Companion ↗Case Study: Sportssense | Live Sports Companion for New Fans ↗
Comparable AI sports companions charge $4.99/mo (Sports Alert) up to $47/yr (SportsCal), but the target user only watches ~2 weeks/year, making subscription retention weak; event-week pass or sponsorship is the realistic path, capping willingness-to-pay.Pricing - Sports Alert ↗Pricing — SportsCal ↗
Casual Wimbledon-only fans churn after the fortnight; even expanding to all 4 Slams leaves a seasonal product tied to a Sinner–Djokovic rivalry that is fading as Djokovic's career winds down.Wimbledon semi-finals: Will Jannik Sinner halt Novak Djokovic's potential farewell tour? ↗
LLM APIs make the 'plain-English explanation' layer easy, but real-time point/serve data is gated by IBM and Hawk-Eye, so a second-screen build typically has to scrape broadcast feeds or license expensive feeds — non-trivial for a casual-fan product.IBM launches AI fan platform for Wimbledon 2026 ↗