Clippd provides a data platform for golfers and coaches that captures every shot, enriches it with contextual factors, and uses AI to generate Shot Quality and Player Quality scores. The system visualizes these metrics, offers a prioritized "What To Work On" practice roadmap, and integrates with tracking hardware to enable data‑driven performance analysis and targeted training.
Funding
$12.8M raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
Founders
Product
Problem
Golfers and coaches often rely on limited statistics and subjective observations, making it difficult to pinpoint specific strengths, weaknesses, and the impact of environmental conditions on performance. This lack of granular, contextual data hampers targeted practice and objective progress tracking.
Solution
Clippd offers a data platform that captures every shot a golfer takes, enriches it with contextual factors such as weather, course difficulty, and elevation, and applies machine‑learning models to generate two core metrics: Shot Quality and Player Quality. Shot Quality scores each individual shot on a 0‑200 scale, reflecting difficulty and outcome, while Player Quality aggregates shot data to predict a golfer’s current playing ability, offering a more responsive alternative to traditional handicaps. The platform visualizes these metrics alongside a personalized “What To Work On” roadmap that ranks game areas by importance to scoring, improvement opportunity, and recent performance trends. Coaches and players can record rounds manually or via integrated sensors, review AI‑driven insights, and select targeted drills to guide measurable practice sessions.
Target Audience
Primary users are collegiate golf programs, professional and amateur golf coaches, and individual golfers seeking data‑driven performance improvement.
Features
- AI‑powered Shot Quality metric that evaluates each shot using distance, lie, result, weather, and course conditions, calibrated on millions of professional shots
- Player Quality score that dynamically reflects a golfer’s form and predicts future performance, broken down by off‑the‑tee, approach, around‑the‑green, and putting
- “What To Work On” prioritization engine combining importance to scoring, improvement opportunity, and shot‑quality trends to generate a customized practice roadmap
- Integration with popular golf tracking hardware (e.g., Arccos sensors) and manual round entry for seamless data capture
- Visual dashboards that display shot‑level analytics, longitudinal progress charts, and comparative benchmarks against tour‑level standards
- Coach‑focused tools for assigning drills, monitoring player development, and exporting insights for team analysis