Research & Insights

Deep Dives

Research-backed articles exploring the technology, science, and business models shaping AI-powered fitness. Sourced from industry analysis, technical briefings, and competitive intelligence.

Technology8 min2026-03-07

Green AI vs. Red AI: The Trade-Off Defining Fitness Technology

Why computational efficiency matters more than raw accuracy for consumer fitness products — and when it doesn't.

Read article

Science6 min2026-03-06

The Posture Gap: Why Your Body Lies to You

The profound disconnect between how a yoga pose feels and how it actually looks — and why computer vision is the only objective solution.

Read article

Business7 min2026-03-05

The Autonomous Studio: AI That Runs Your Business

How AI-native platforms are moving beyond digital ledgers to autonomously manage pricing, scheduling, retention, and member communication.

Read article

Technology7 min2026-03-04

Vision-Sensor Fusion: When Cameras Aren't Enough

How combining textile-integrated IMU sensors with camera-based pose estimation solves the occlusion problem and creates the most accurate tracking system possible.

Read article

Engineering9 min2026-03-03

Edge AI Hardware for Fitness: A Builder's Guide

Comparing Google Coral, NVIDIA Jetson, TI TDA4VM, and Luxonis OAK-D for real-time pose estimation — with costs, trade-offs, and recommendations.

Read article

Inspiration5 min2026-03-02

AISOMA: What Choreography Teaches Us About AI Fitness

Wayne McGregor's Google Arts & Culture project proves that AI and human movement can have a creative conversation — and why that matters for fitness technology.

Read article