Build datasets, train models, and optimize libraries to run on any edge device, from extremely low-power MCUs to efficient Linux CPU targets and GPUs.
Edge Impulse developers can get data from various sources, including their own sensor hardware, public datasets, and data generated through simulations or synthetic data generation.
Build high-quality sensor datasets and leverage advanced data analysis tools to quickly detect data quality issues with any dataset.
Shorten your product development lifecycle by leveraging device-aware feature engineering tools and enterprise-ready AI architectures to develop algorithms optimized for health and industrial use cases.
Optimize any model by profiling its on-device performance and tuning it to leverage your specific hardware acceleration capabilities.
Future-proof your workflow by allowing you to generate models and algorithms that will perform at peak efficiency on any edge hardware.
Collaborate across your data, ML, and embedded teams to build optimized production-ready models faster.
Future-proof your products. Our customers win by adding edge intelligence to their products, from low-power wearables to industrial gateways.