HR Execs on the Move

GoNet USA

www.gonetusa.com

 
GoNet USA is a Scottsdale, AZ-based company in the Software and Internet sector.
  • Number of Employees: 250-1000
  • Annual Revenue: $10-50 Million

Executives

Name Title Contact Details

Similar Companies

Sysorex Incorporated

Sysorex is now Inpixon! Follow us on our company page: https://www.linkedin.com/company/inpixon. Inpixon® (Nasdaq: INPX) is an indoor intelligence company that specializes in capturing, interpreting and giving context to indoor data so it can be translated into actionable intelligence. The company`s indoor location data platform ingests diverse data from IoT, third-party and proprietary sensors designed to detect and position all active cellular, Wi-Fi, UWB and Bluetooth devices, and uses a proprietary process that ensures anonymity. Paired with a high-performance data analytics engine, patented algorithms, and advanced mapping technology, Inpixon`s solutions are leveraged by a multitude of industries to do good with indoor data. This multidisciplinary depiction of indoor data enables users to increase revenue, decrease costs, and enhance safety. Inpixon customers can boldly take advantage of location awareness, analytics, sensor fusion and the Internet of Things (IoT) to uncover the untold stories of the indoors.

Unified Methods

Unified Methods is a Wilmington, DE-based company in the Software and Internet sector.

Zagster

Zagster is the largest and fastest-growing bike share provider in the United States. We work directly with over 145 communities across North America to make scalable bike-sharing programs available in areas where traditional bike share providers can’t reach. Our goal: To make the bike the most loved form of transportation.

Contact Networks

Contact Networks is a Boston, MA-based company in the Software and Internet sector.

Snips

Snips was founded in 2013 as a research lab in AI. Through our projects, we realized that the biggest issue of the next decades was the way humans and machine interact. Indeed, rather than having humans make the effort to use machines, we should use AI to make machines learn to communicate with human. By making this ubiquitous and privacy preserving, we can make technology so intuitive and accessible that it simply disappears from our consciousness.