LUBU.AI: Elevating Athletic Performance with AI, IoT, and Smart Wearables—Transforming Biomechanics Tracking for Professional Runners with MP Software Ventures.

Founders:Puneet Bharghava
Sector: Artificial Intelligence, IoT Wearables, Sports Analytics
Series: Seed
Website: www.lubu.ai

LUBU.AI is redefining athletic performance analytics through AI-powered smart insoles engineered to capture movement at its origin—directly from a runner’s feet. Built with advanced pressure sensors, BLE connectivity, and real-time data capture, LUBU.AI provides athletes, coaches, and sports doctors with precise insights into gait, pressure distribution, fatigue patterns, and injury indicators. This groundbreaking wearable platform helps optimize performance while reducing injury risks, making it invaluable for competitive runners and training programs worldwide.

MP Software Ventures partnered with LUBU.AI to build the complete digital ecosystem powering the smart insole solution. This includes native mobile apps, a high-performance web dashboard, real-time streaming gateways, and cloud analytics infused with AI-driven movement interpretation. Together, we created a seamless platform capable of processing biomechanical data at scale—translating raw sensor metrics into actionable insights and personalized training guidance.

Our engineering team also enabled advanced visualization modules that showcase detailed foot-pressure maps, cadence charts, stride dynamics, fatigue alerts, and progress tracking. This multi-layered analytics environment empowers coaches and medical professionals to predict injury risks, monitor training loads, and tailor recovery plans with unprecedented accuracy.
With MP Software Ventures’ support, LUBU.AI has established a powerful new benchmark in wearable sports technology—bringing together biomechanics, AI, and IoT into a unified performance engine. Our collaboration continues to push the limits of real-time movement intelligence, building a future where every athlete can train smarter, avoid injuries earlier, and reach peak performance with data-driven precision.