ABOUT WALTAIR
Waltair Robotics develops sports-focused physical AI systems that observe athletes, evaluate performance, and adapt physical training in real time.
Tennis is our first application. The underlying architecture is designed to extend across sports and training environments.
TENNIS FIRST · MULTI-SPORT BY DESIGN
WHY WE EXIST
Athletes improve through thousands of focused repetitions. Delivering those repetitions still depends heavily on finite coaching time, available practice partners, and equipment that cannot respond to the athlete.
Waltair is building a new layer of training infrastructure: intelligent robotics that make individualized practice more available, responsive, and measurable.
Intelligence does not replace coaches. It multiplies them.
Coaches define development goals, make nuanced corrections, and guide the athlete. Waltair’s systems execute the repetitive layer of training and capture what happens across every session.
HOW WE BUILD
Waltair is led full time by founder Neel Kamidi and supported by specialist contributors across software, computer vision and machine learning, electrical systems, hardware, and mechanical design. Advisors provide additional guidance in engineering leadership, commercialization, and company building.
Together, these disciplines support one integrated robotics architecture—from perception and software to electronics and physical actuation.
Founder & CEO · Product & Software
Neel leads Waltair’s product vision, software architecture, and company development. His background spans large-scale software platforms, fintech, connected systems, and AI-enabled products. Lessons from his competitive cricket years, his commitment to fitness, and his constant pursuit of better ways to build athletic skill helped shape Waltair’s approach to responsive, individualized practice.
Nielsen · Thomson Reuters · AppZen · Smartcar
Experienced specialists contributing directly to Waltair’s product and engineering development.
Ashraf is an electrical and systems engineer with more than two decades of experience across semiconductor, sensing, and life-science instrumentation. He contributes to Waltair’s hardware architecture, electronics, and systems integration.
Systems Engineering · Stanford M.S. EE
Praveen is a computer vision and machine learning researcher whose work spans video understanding, action detection, temporal localization, zero-shot learning, and multimodal models. He contributes to Waltair’s player, ball, and activity-understanding systems.
UCF Center for Research in Computer Vision · Ph.D. Computer Science
Behnam brings more than 20 years of experience designing mechanical, opto-mechanical, and robotic systems. He contributes to Waltair’s mechanical architecture, launcher integration, and production-intent product design.
Robotics · Precision instrumentation · Product engineering
Emma supports data analysis, machine-learning workflows, and software implementation across Waltair’s product-development initiatives.
UC Santa Barbara · Data Science · Machine Learning
Experienced operators providing targeted guidance in engineering leadership, product strategy, and commercialization.
David advises Waltair on commercialization, operating strategy, strategic partnerships, and building an enduring technology company.
Technology operator · Startup and growth-stage advisor
Chandrika advises Waltair on engineering execution, product quality, team development, and building reliable software systems.
Engineering Manager · Netflix
CURRENT FOCUS
Waltair has developed player and court perception, adaptive tennis delivery, and autonomous robotics across tennis and soccer applications.
Our current focus is engineering production-intent Wolley systems for player testing, academy collaboration, and commercial validation.
WORKING PERCEPTION SYSTEMS
DEMONSTRATED
CLOSED-LOOP ROBOTICS
DEMONSTRATED
PRODUCTION-INTENT WOLLEY
IN DEVELOPMENT
We are collaborating with forward-thinking coaches, academies, and tennis clubs to refine Wolley in real training environments.
