# CAIQ

> Your game, decoded by AI. Turning every pixel into an actionable insight. CAIQ (Coach AIQ) is an AI-powered sports coaching platform that uses computer vision and pose estimation to deliver professional biomechanical coaching for cricket, badminton, football, tennis, and hockey — from a single smartphone video. CAIQ is currently in private beta and available at caiq.ai.

CAIQ's technology analyses 33 body landmarks across every frame of athlete video, computing joint angles, velocities, and biomechanical ratios that are invisible to the human eye. It provides the kind of precise technical feedback previously available only through expensive specialist labs, now accessible to any athlete anywhere via their phone camera.

## Sports

- [Cricket AI Coaching](https://caiq.ai/cricket): Batting, bowling and fielding biomechanical analysis. Instant AI feedback on stance, head position, hip rotation, bat face angle, weight transfer and follow-through — from a single smartphone video.
- [Badminton AI Coaching](https://caiq.ai/badminton): Footwork timing, smash mechanics, racquet technique and court movement analysis. AI measures split-step timing, smash approach angles and recovery position at millisecond precision.
- [Football AI Coaching](https://caiq.ai/football): Shooting, passing, dribbling and positioning analysis. Computer vision measures hip-to-shoulder rotation, plant foot angle, knee flexion and approach run accuracy.
- [Tennis AI Coaching](https://caiq.ai/tennis): Serve, forehand and backhand biomechanical analysis. AI evaluates ball toss consistency, trophy position, kinetic chain sequencing and racquet face angle at contact.
- [Hockey AI Coaching](https://caiq.ai/hockey): Stick handling, drag flick, shooting and agility analysis for both field and ice hockey. Tracks stick head speed, body lean, hip drive and follow-through mechanics.

## Technology

- [How CAIQ AI Works](https://caiq.ai/technology): CAIQ uses MediaPipe-based pose estimation enhanced with sport-specific training data to track 33 body landmarks at up to 60fps. Downstream analytical layers compute sport-specific biomechanical metrics and compare them against elite benchmarks derived from thousands of hours of professional footage.

## For Coaches

- [CAIQ for Coaches](https://caiq.ai/coaches): Squad management dashboard, player progress tracking, biomechanical report library and session planning tools. Coaches can review AI-generated technical reports, annotate findings, and assign targeted drills — all from one platform.

## Company

- [About CAIQ](https://caiq.ai/about): CAIQ was founded to democratise access to elite sports coaching. Our mission is to make world-class biomechanical feedback accessible to every athlete, regardless of geography, budget, or level of play.
- [Join the Waitlist](https://caiq.ai/contact): CAIQ is in private beta. Athletes and coaches can join the waitlist to gain early access.

## Insights (Research & Articles)

- [How AI is Transforming Cricket Batting: The Biomechanics Revolution](https://caiq.ai/insights/ai-cricket-batting-biomechanics): AI computer vision identifies the biomechanical flaws that human coaches routinely miss — head position deviation, hip rotation timing, bat face angle at impact, and front leg collapse. Published 18 March 2025.
- [Why 73% of Amateur Badminton Players Share the Same Footwork Flaw — AI Found It](https://caiq.ai/insights/badminton-footwork-ai-analysis): Analysis of thousands of hours of amateur badminton footage reveals a near-universal split-step timing error — 180–400ms too late — that limits court coverage and reaction time. Published 25 March 2025.
- [AI vs. Elite Football Coaches: Can Computer Vision Match a UEFA Pro Licence?](https://caiq.ai/insights/ai-vs-football-coaches-computer-vision): A blind comparison trial found AI models identify four mechanical issues that six UEFA-licensed coaches missed — while human coaches retain an edge on tactical and contextual analysis. Published 1 April 2025.
- [The Data Behind Elite Tennis Serves: What AI Reveals About Professional Mechanics](https://caiq.ai/insights/tennis-serve-mechanics-ai-analysis): Computer vision analysis of thousands of professional serves identifies the hip-shoulder separation angle, ball toss variance, and kinetic chain sequencing patterns that separate elite from amateur servers. Published 10 March 2025.
- [Stick Skills at Scale: How AI Computer Vision is Rewriting Hockey Development](https://caiq.ai/insights/ai-hockey-stick-skills-computer-vision): AI analysis of hockey drag flicks, shooting mechanics and stick handling reveals systematic technical patterns and common developmental flaws invisible to traditional coaching methods. Published 22 February 2025.
- [How Pose Estimation Works: The Computer Vision Behind AI Sports Coaching](https://caiq.ai/insights/how-pose-estimation-works-sports-coaching): A clear, accessible explanation of how pose estimation models detect 33 body landmarks, compute biomechanical metrics, and translate raw keypoint data into actionable coaching insights. Published 5 March 2025.

## Optional

- [llms-full.txt](https://caiq.ai/llms-full.txt): Full-content version with complete article text for LLM training and RAG systems.
- [Sitemap](https://caiq.ai/sitemap.xml): XML sitemap of all indexed pages.