Embedl provides tools to build and deploy AI on edge devices. Benchmark your models on remote hardware. Analyze performance. Optimize for efficient on-device inference.
Embedl provides tools for developing, optimizing, and deploying AI models on edge devices. We offer two main products: Embedl Hub and Embedl Model Optimization SDK.
The Embedl Hub is a web-based platform for testing and benchmarking AI models on real edge hardware. It enables remote execution, performance analysis, and comparison across devices.
The Embedl Model Optimization SDK provides on-premise tools for optimizing, compiling, and deploying AI models on edge devices. It gives developers full control over the optimization workflow and supports hardware-aware tuning to make on-device inference efficient and scalable.
Our stack
Pytorch, TensorFlow/Keras, ONNX, LiteRT, ONNX Runtime, Qualcomm AI Runtime.
