Intelligent Space System

Bring Intelligence to Space Systems

Edge AI refers to the deployment of artificial intelligence algorithms directly on edge devices, such as smartphones, IoT devices, and other local hardware, rather than relying on centralized cloud servers. This approach offers several advantages:

1. Reduced Latency: Processing data locally minimizes the delay in decision-making, which is crucial for real-time applications like autonomous vehicles and industrial automation.

2. Enhanced Privacy: Since data is processed on the device itself, sensitive information doesn't need to be transmitted to the cloud, thereby improving data security and privacy.

3. Lower Bandwidth Usage: Edge AI reduces the need for constant data transmission to and from the cloud, saving bandwidth and reducing costs.

4. Improved Reliability: Local processing ensures that AI applications can continue to function even if the device loses connectivity to the cloud.

Edge AI is increasingly used in space systems as well to increase autonomy, reduce reaction time and operational cost.

Klepsydra is supporting the development of Intelligent Space Systems by providing a highly efficient SW framework to deploy Intelligence to a variety of Space Systems. Enabling a modular approach, increased flexibility and a hardware and model agnostic performance, Klepsydra is a key element to advance Intelligence in Space.

We are looking for partners that are integrating or developing Edge AI applications for their Space Systems (being it space vehicles, on-board computers, instruments, ...)