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Ambeent AI





Unlocking the true potential of spectrum for high performing networks and exceptional digital experiences


Today, we are monitoring and optimizing more than 1 million Wi-Fi points and growing.

Solutions Offered

High quality, reliable Wi-Fi is essential for home-users’ life and work and for the profitability of organizations of all types and sizes. Ambeent delivers the agile, data-driven solutions that your organization needs. We are here to enhance digital experiences, improve end-to-end network performance and add value to your business. If you use Wi-Fi and have a mobile application, Ambeent has a solution for you.

An All-in-One Platform

The Ambeent Platform combines real-time and proactive digital experience and network monitoring with the industry’s first Wi-Fi spectrum optimization technology.

2 to 4 weeks integration time. Return in less than 6 months.

Enhance digital experience and customer satisfaction

  • 80-100% improvement in Wi-Fi performance through dynamic channel allocation
  • 25 % reduction in the volume of complaint calls to support centers with spectrum management and remote access point configuration
  • 50% reduction in ticket resolution time with visibility into the root cause of problems

Gain end-to-end visibility and predict performance

  • Identify the root cause of performance problems to where they belong across devices, networks and applications
  • Use automated testing and predictive analytics to baseline performance and resolve issues proactively and in real-time
  • Determine the performance of multimedia applications prior to critical events with on-demand testing

Plan and optimize your network

  • Predict upcoming performance problems and receive resolution recommendations
  • Determine the optimal location of access points for best coverage
  • Access point rating allows you to prioritize investments into your network and to know when your subscribers are better off upgrading to a new access point or buying an extender
  • Monitor usage patterns for work style-based capability prediction