Our Vision


Watch this 1-minute video to understand what we're building:

The Edge Infrastructure Problem

In recent years, the adoption of cloud computing has revolutionized the way we use and process data. However, with the exponential growth of Internet of Things (IoT) devices and the need for real-time data processing, cloud computing alone is no longer sufficient. This is where edge computing comes in as a necessary extension to cloud computing.
Edge computing involves the deployment of computing resources closer to the data source, rather than relying on a centralized cloud infrastructure. This allows for faster data processing and reduced latency, making it ideal for time-sensitive applications such as self-driving cars and healthcare monitoring system
While the potential for edge computing to underpin the next evolution of IoT and applications is tremendous, the infrastructure to bring them to life doesn’t yet exist in meaningful ways. This is creating bottlenecks for a transactional economy worth BILLIONS.

Edge Computing Advantages

Here are four reasons why developing edge computing networks is crucial for the future of technology:
Firstly, edge computing can significantly reduce the load on cloud infrastructure, thereby improving overall system efficiency. By processing data at the edge, only the most relevant information is sent to the cloud for further analysis. This can help reduce network congestion and lower operational costs for cloud providers.
Secondly, edge computing can enable real-time data processing and decision-making. This is particularly important in applications such as autonomous vehicles, where any delay in processing data can have serious consequences. By leveraging edge computing, critical decisions can be made locally and quickly, without the need to rely on a centralized cloud infrastructure.
Thirdly, edge computing can enhance data privacy and security. With data being processed locally, sensitive information can be kept within a secure perimeter and not transmitted to the cloud. This reduces the risk of data breaches and ensures compliance with privacy regulations.
Finally, edge computing can enable new and innovative applications that were not possible with cloud computing alone. For example, augmented reality applications that require real-time processing of large amounts of data can be made possible with edge computing. is building edge computing infrastructure in high-footfall, high-value venues to deliver on these benefits.

Edge Applications

Edge computing has the potential to transform the way cities operate by enabling faster and more efficient data processing and decision-making. Here are some edge computing applications that are valuable to cities:
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    Smart Traffic Management: Edge computing can be used to process real-time traffic data from cameras and sensors at intersections, and optimize traffic flow by adjusting traffic signals in real-time. This can help reduce traffic congestion, improve air quality, and save time for commuters.
  2. 2.
    Public Safety: Edge computing can be used to process data from surveillance cameras and sensors in public spaces, and enable real-time threat detection and response. This can help improve public safety and emergency response times.
  3. 3.
    Smart Waste Management: Edge computing can be used to optimize waste collection schedules based on real-time data from sensors in garbage bins. This can help reduce waste collection costs and improve waste management efficiency.
  4. 4.
    Smart Lighting: Edge computing can be used to adjust street lighting in real-time based on ambient light levels and pedestrian or vehicle traffic. This can help reduce energy consumption and improve public safety.
  5. 5.
    Building Automation: Edge computing can be used to optimize energy usage in buildings by processing data from sensors and adjusting HVAC systems in real-time. This can help reduce energy consumption and improve building efficiency.
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    Smart Parking: Edge computing can be used to process data from parking sensors and enable real-time parking availability information for drivers. This can help reduce traffic congestion and save time for drivers.
The utility of edge computing networks is extensible and can be adapted to the needs of the specific venue. Beyond cities is building our edge computing networks in stadiums and arenas, on university campuses, at shopping malls and mixed-use / lifestyle centers, and other places with high foot-traffic.
To sum it up, edge computing has the potential to revolutionize the way cities and venues operate - providing valuable applications that help these spaces become more efficient, sustainable, and livable.

What Does This Have To Do With Web3?

Edge computing does not need Web3 to work. But Web3 makes edge computing work so much better. Read on and we'll explain how...