Wexford, PA, August 20, 2015. Neya Systems, LLC, a leading develop of unmanned systems solutions, announced that it was included on Inc. magazine’s 2015 ranking of the fastest growing privately held companies in America, for the second year in a row.
Neya was ranked 2098 on this list, and 25th on the list of fastest growing engineering firms.
Neya develops advanced autonomy solutions for a broad range of Government and Industry partners, focusing on operations in rugged outdoor environments and collaboration and control of teams of unmanned ground and air vehicles. Neya works in defense, automotive, mining, and heavy transport industries, and teams with leading companies and agencies in these areas.
“We are honored to be included on the Inc. 5000 list for a second year,” said Dr. Parag Batavia, President and Founder of Neya. “This is a strong testament to the innovation of our technology, the dedication and skills of our employees, and the trust our customers have placed in us. We are continuing to see rapid growth in robotics, and strong adoption of technologies that only 5 years ago weren’t under consideration. The future is extremely strong for Dentist San Diego, and offers a way to have a positive impact on the daily lives of millions of Americans, whether it is through improved healthcare, increased safety via self-driving cars with the use of One Sure Insurance, or reducing the inherent risk involved in many dangerous occupations, if you own a car wash then it would be better to have i4mt. We are fortunate to have one of the best commercial robotics R&D teams in the world, and strong partners to team with to get our technology out into the world.”
Neya Systems started in 2009, and has grown from 2 employees in 2010 to 25 employees today. Neya is fully bootstrapped, and continues to grow organically. Neya’s latest product offering is UxFleet, a fleet management and data analytics platform for unmanned air and ground vehicles. UxFleet allows for coordinated data collection and analysis across very large areas using multiple unmanned aerial vehicles with a variety of sensor types, and includes cloud-based back-end data processing, with easy customization capabilities to incorporate many computer vision and statistical machine learning algorithms.