Question: I'm looking for a platform that allows me to create and deploy AI models on edge devices, such as microcontrollers and sensors.

If you need a platform to build and deploy AI models on edge devices, Edge Impulse is a top contender. It lets developers build high-quality datasets and run optimized AI models on MCUs, NPUs, CPUs, GPUs, gateways, sensors and cameras. The platform includes data collection and analysis, model optimization, target-agnostic deployment, collaboration tools and integration with leading ecosystems. That means it's a good choice for product managers, AI practitioners and embedded engineers who want to bring AI to their products.

Another contender is Coral, which is designed to bring fast, private and efficient AI to many industries by running AI models directly on devices. Coral supports frameworks like TensorFlow Lite and runs on Debian Linux, macOS and Windows 10. It's good for situations where you need to keep user data private and where low latency is important, and it comes with pre-compiled models for object detection, pose estimation and other tasks.

If you want to make it easier to develop and update AIoT apps, Peridio offers features like optimized app development workflows, flexible integration, binary management and device access and observability. The platform is designed to make the complexity and cost of traditional update approaches more manageable, which should appeal to developers and teams working on AIoT projects.

Last, Hailo offers high-performance AI processors for edge devices, including automotive, retail and industrial automation customers. Its products include AI Vision Processors for high-quality video processing and AI Accelerators for deep learning tasks. Hailo's products are designed for low latency, high accuracy and efficiency, and for reliable and secure AI processing with complex neural networks.