If you're looking for another Edge Impulse alternative, Coral is a good choice. Coral is a local AI platform designed to run fast, private and efficient AI on edge devices. It can perform on-device inferencing for better user data privacy and offers a range of products for prototyping, production and sensing. Coral models include object detection, pose estimation and image segmentation, and it supports frameworks like TensorFlow Lite. The platform can help you sidestep data privacy and latency problems and deliver reliable and efficient AI.
Another powerful alternative is LastMile AI. It's a full-stack developer platform designed to help engineers productionize generative AI applications with confidence. It comes with tools like Auto-Eval for automated hallucination detection, the RAG Debugger for better performance and AIConfig for prompt and model parameter tuning. LastMile AI supports a range of AI models across text, image and audio modalities, and it's got a notebook-like environment called Workbooks for prototyping and building apps with multiple AI models. It's good for deploying production-ready generative AI apps quickly.
If you like open-source collaboration, Hugging Face is a broad machine learning platform. It's got more than 400,000 models for different tasks, 150,000 applications and demos, and access to more than 100,000 public datasets. The platform lets you host models, datasets and applications for free, along with community support and access to the latest ML tools. Hugging Face also offers premium features for enterprises, including optimized compute options, SSO support and private dataset management, so it's a good choice for many different AI development needs.
Last, Hailo is a high-performance AI processor designed for edge devices. It's got AI Vision Processors for high-quality video processing and analytics, AI Accelerators for running deep learning applications, and Generative AI Accelerators for transformer models and LLMs. Hailo's products are used in automotive, security, industrial automation and retail, among other areas, and promise low latency, high accuracy and efficiency. That makes it a good choice for developing complex operations with large networks while protecting privacy and security on edge devices.