Introducing cAInvas for TinyML devices
Target your favorite ML models to tiny devices
Machine learning and deep learning models have been changing markets, products and life styles one vertical at a time. Today, bringing ML models to embedded system could be as complex as stitching 8 steps in a flow.
Embedded machine development is hard as it is, bringing ML models to tiny devices like bare metal micro-controllers and single board computers should not be hard.
That’s why we’re excited to announce the launch of cAInvas — a developer platform ranging from data scientist to embedded developers to simplify AI development for the EDGE devices.
cAInvas boasts support for ML models derived from all popular platform like TensorFlow, keras, PyTorch and others. It takes ONNX as a native format.
cAInvas is bolstered by native integration of deepC inference framework and a compiler designed for embedded devices. It comes with python and c++ notebooks to develop end-to-end application with autoML and ensemble of ML models.
cAInvas — Simplifying AI development for the EDGE.
