Bringing faster, more secure
and energy efficient data
processing solutions.
The project
DAIS focuses on building an ecosystem of hardware, AI software, and communication platforms that distribute AI tasks across Edge, Fog, and Cloud, based on computing power and network capacity. This approach enables efficient data processing, reduces cloud reliance, and ensures faster AI decision-making with built-in privacy and security features.
Sentigrate contributed to the DAIS project by developing a Bluetooth-based indoor localization system that processes data locally, improving privacy and security. The system uses AI algorithms and Kalman filters to enhance location accuracy, making it scalable and reliable for various indoor applications such as logistics, events, and smart environments.