SiMa.ai
SiMa.ai specializes in Machine Learning System-on-Chip (MLSoC) platforms for edge AI applications, targeting sectors like automotive, healthcare, and robotics, and offers development kits and software tools for easy integration.
Services
SiMa.ai offers a Machine Learning System-on-Chip (MLSoC) platform designed specifically for edge AI applications. The company provides MLSoC Development Kits which allow for rapid evaluation, prototyping, and demonstration of edge ML applications. These services are aimed at facilitating the implementation and scaling of machine learning solutions at the edge.
Products
SiMa.ai has developed the MLSoC platform, a purpose-built system for high performance with low power consumption, suitable for embedded edge applications. Their product suite also includes Palette Software, a set of tools designed for the migration of Python ML projects from cloud environments to embedded systems. Additionally, SiMa.ai offers MLSoC Development Kits to support the development and deployment of edge ML applications.
Target Industries
SiMa.ai targets several key industries with their MLSoC platform, including automotive, healthcare, industrial and robotics, smart vision, drones, and the government sector. Their technology is aimed at enhancing autonomous driving, improving healthcare diagnostics, increasing industrial automation, advancing smart vision capabilities, and providing solutions for governmental applications.
Developer Resources
SiMa.ai hosts a developer portal that provides community support and resources for machine learning development. This portal includes comprehensive documentation and support materials for users of their MLSoC platform. It enables developers to access tutorials, user guides, and forums to help facilitate ML development on SiMa.ai's platform.
Industry Collaboration
SiMa.ai actively participates in industry events, such as the Embedded World Exhibition & Conference, to showcase their technology. They collaborate with other technology companies to enhance autonomous driving technology, demonstrating their commitment to advancing the machine learning and edge AI industries through partnerships and industry engagement.