AITS provides an on-device AIoT platform, cainvas, that enables sensors in remote areas to process data and execute AI models without relying on cloud connectivity or internet access. This technology addresses the challenge of data collection and real-time decision-making in locations where traditional connectivity is unavailable, enhancing operational efficiency and responsiveness.
Funding
Funding not disclosed
Founders
Product
Problem
Many sensors deployed in remote locations generate data that cannot be processed in real-time due to limited or non-existent cloud connectivity. This lack of immediate processing hinders timely decision-making and responsive actions in critical applications.
Solution
AITS offers cainvas, an on-device AIoT platform that enables sensors to process data and execute AI models directly on edge devices, eliminating the need for continuous cloud connectivity. This platform allows for real-time data analysis and decision-making in environments where internet access is unreliable or unavailable. By embedding intelligence into sensors, cainvas facilitates responsive actions and alerts without cloud dependence, enhancing operational efficiency and reducing latency. The platform supports TinyML and IoT devices, converting them into intelligent devices capable of autonomous operation.
Target Audience
The primary target audience includes industries and organizations that deploy sensors in remote or disconnected environments, such as railroad research divisions, the Department of Defense, NASA, and other sectors requiring real-time data processing at the edge.
Features
- On-device AI model execution for real-time data processing
- Support for TinyML and IoT devices
- Elimination of cloud dependency for remote operations
- Responsive alerting and autonomous action capabilities
- Compatibility with various sensor boards
- DeepC compiler integration for model optimization