At SiMa.ai, we are pioneering the next wave of Physical AI – seamlessly combining computer vision, multimodal language understanding, and edge performance to bring AI out of the cloud and into the real world.
Our GitHub organization hosts open-source and collaborative projects that demonstrate the power of our Machine Learning SoC (MLSoC™) and ecosystem. From Vision AI pipelines to multimodal Vision-Language Models (VLMs) and custom Yocto Linux builds, SiMa’s repositories showcase how AI can be deployed at scale with low power, high performance, and developer-first usability.
- Demos & Examples: End-to-end applications and pipelines that illustrate the art of the possible.
- Tools: Utilities, and documentation for rapid AI development and deployment.
- System-Level Projects:
- Build your own custom Yocto Linux image tailored for SiMa hardware platforms.
- Board bring-up resources, kernel drivers, and low-level system enablement.
- Recipes, layers, and integration examples for MLSoC.
To make it easier to explore, SiMa.ai repositories follow a naming convention:
pipeline-*→ Vision AI pipeline examples (detection, segmentation, classification, etc.)app-*→ Fully featured sample applications showcasing end-to-end use casestool-*→ Utilities and helper tools for development, deployment, or debuggingtutorial-*→ Source code accompanying tutorials and learning materials
- Explore our repositories to see cutting-edge AI in action.
- Contribute to demos, system layers, or documentation to help grow the ecosystem.
- Join us in building the future of Physical AI.
© 2025 SiMa.ai – Physical AI for the Edge