Cartesiam provides a suite of tools for embedding artificial intelligence into STM32 microcontrollers and microprocessor units, enabling applications such as predictive maintenance and smart IoT devices. By optimizing AI model performance and facilitating data-driven insights, the company enhances the functionality and efficiency of various embedded systems.
Funding
Funding not disclosed
Founders
Product
Problem
Developing and deploying AI models on embedded systems, particularly STM32 microcontrollers and microprocessor units (MPUs), can be complex and resource-intensive. Optimizing AI models for the limited processing power and memory of these devices poses a significant challenge.
Solution
ST Edge AI Suite provides a set of tools designed to simplify and accelerate the implementation of AI on STM32 MCUs and MPUs. The suite includes automated machine learning tools, an AI model optimizer (X-CUBE-AI), the ST Edge AI Developer Cloud for benchmarking and optimization, a model zoo, and an AI framework for OpenSTLinux (X-LINUX-AI). These tools enable developers to efficiently create, optimize, and deploy AI models for applications such as predictive maintenance, smart IoT devices, and other embedded systems. By streamlining the AI development process, ST Edge AI Suite allows for faster time-to-market and improved performance of AI-powered embedded applications.
Target Audience
The primary target audience includes embedded systems developers, AI engineers, and product teams working on applications that require on-device AI processing using STM32 microcontrollers and microprocessor units.
Features
- Automated Machine Learning (AutoML) tools for simplified model creation.
- X-CUBE-AI: AI model optimizer for STM32 MCUs, enhancing performance on resource-constrained devices.
- ST Edge AI Developer Cloud: Online platform for benchmarking and optimizing AI models.
- Model zoo: A repository of pre-trained AI models optimized for STM32 MCUs and MPUs.
- X-LINUX-AI: AI framework for OpenSTLinux, facilitating AI development on Linux-based embedded systems.
- Support for STM32N6 MCUs with AI acceleration.
- Integration with the ST Edge AI Suite.