Established in September 2017, CamCom is an AI platform for Automated Enterprise Quality Control. Currently catering to Automotive and Warehousing industries, CamCom aims to be the preferred quality assurance partner for enterprises, across the globe.
Headquartered in Bangalore, CamCom has a strong team of thinkers and technocrats who focus on the company’s strong values – Innovation, Agility and Resilience.
Vinay K. Piparsania
Chief Endowment Officer, IIT Delhi
Vinay is a global automotive industry diviner, with over 30 years of extensive operational experience at senior leadership positions in India, Asia Pacific, and the Middle East. Associated with Ford Motor Company for nearly 20 years, Vinay has held progressive international marketing, sales and service responsibilities in Ford India, Ford Global Business Services (GBS), planning, developing, and launching several new auto models.
As Consulting Director, Automotive, with Counterpoint Technology Market Research, Vinay has monitored technology and market trends in the global automotive and mobility industry. A marketing expert with technical and finance experience, Vinay has a mechanical engineering degree from the Indian Institute of Technology, Delhi (IIT Delhi) and an MBA from Tulane University, New Orleans, USA.
Ravinder Pal Singh
Chief Information and Innovation Officer, Tata Singapore Airlines (Air Vistara)
Ravi is a Harvard Alumni, Award Winning Technologist, Rescue Pilot, Angel Investor and Global speaker with 200+ global recognitions and several Patents. His body of work, mostly 1st in the world are making a difference within acute constraints of culture and cash via commodity technology.
Ravi has been acknowledged as the world’s top 10 Robotics Designer, #1 Artificial Intelligence Leader in Asia and world’s top 25 CIO.
Ravi was the Global Chief Information and Technology Officer, Air Works, where he fathered Air Works Digital, Technology and Commerce. He has expertise in the domain of flight management, aircraft valuation, unmanned-aircraft safety management, and predictive maintenance using AI, IoT and app-mobility.