As an edge computing platform, we execute processing immediately near the data source. We utilize a distributed computing network to provide flexible systems independent of central cloud. This enables projects of any scale to easily build an edge cloud infrastructure.
Real time data processing optimized to the limit
Thanks to the edge computing platform design, sensor data and video analysis complete in milliseconds. The distributed computing network dynamically selects routes and eliminates bottlenecks. It works especially well as an IoT data platform for factories and urban monitoring. This is a prime implementation of an edge cloud infrastructure. All nodes share the load evenly across the decentralized computing grid.
Decentralized computing grid with self‑healing
In our distributed computing network there is no single point of failure – processing continues even if some nodes go down. The edge computing platform operates locally, so a line cut does not stop the service. It dramatically improves reliability for real time data processing. This design principle is the foundation of our edge cloud infrastructure.
Low‑friction connection to edge cloud infrastructure
Via APIs and standard protocols, you can easily connect existing systems to the distributed computing network. It also functions as an IoT data platform, collecting data from diverse devices. Joining the decentralized computing grid takes only a configuration file. Many implementations of the edge computing platform have proven this approach.
Automated management of the distributed computing network
Real time data processing workflows are visualized and editable via drag‑and‑drop. Resource monitoring of the edge cloud infrastructure is built in. Our edge computing platform includes self‑healing features to automatically avoid failures. Reconfiguration of the decentralized computing grid requires no manual steps.
Our decentralized computing grid has operated stably for long periods across multiple locations in Japan. In every design process of the edge computing platform, we respect the client’s existing environment. Failure response procedures for the distributed computing network are documented and regularly tested. Resource usage of the edge cloud infrastructure is shared with clients – no hidden costs. The quality management system for real time data processing has been verified by third parties.
As an IoT data platform, we have successfully integrated data from many heterogeneous devices. Scalability of the decentralized computing grid is evaluated annually, and results are disclosed. Security updates to the edge computing platform are instantly reflected on all nodes. Past troubleshooting cases are shared as a knowledge base to prevent recurrence. This continuous improvement is why many enterprises trust us.
Our mission is to realize a society where the benefits of a distributed computing network can be used without special knowledge. The edge computing platform is no longer only for large enterprises – it is open to small businesses and individual projects. We work to standardize the edge cloud infrastructure and lower adoption barriers. So that many people, regardless of location or scale, can benefit from real time data processing. Democratizing the IoT data platform is one of our key themes.
We hide technical complexity and provide a simple interface. Coordination of the decentralized computing grid is automated, letting users focus only on results. We pursue designs that bring operational load of the edge computing platform close to zero. We believe the evolution of the distributed computing network will be the foundation of a sustainable information society. Today, we continue to carefully implement one new form of computing after another.
Much of the potential of the decentralized computing grid remains unexplored. We want to collaborate with engineers, designers, and project managers interested in the edge computing platform. We are open to project‑based cooperation and technical advisory roles, not just traditional employment. Students and researchers who want to participate in distributed computing network research are also welcome. We provide a place to test new algorithms for real time data processing.
Would you like to design the next layer of edge cloud infrastructure with us? Discovering new use cases for the IoT data platform is also one of our joys. We also invest in community activities to share operational knowledge of the distributed computing network. If you are interested, please contact us via the form or at the details below. We will help bring your ideas to life on our edge computing platform.