Edge Impulse streamlines the creation of AI and machine learning models for edge hardware, allowing devices to make decisions and offer insight where data is gathered. Edge Impulse’s technology empowers developers to bring more AI products to market, and helps enterprise teams rapidly develop production-ready solutions in weeks instead of years. Powerful automations make it easier to build valuable datasets and develop advanced AI for edge devices from MCUs to CPUs to GPUs. Used by health and wearable organizations like Tunstall, Know Labs, and NOWATCH, industrial organizations like TKE and Lexmark, as well as top silicon vendors and over 100,000 developers, Edge Impulse has become the trusted ML platform for enterprises and developers alike. To learn more, visit edgeimpulse.com.
Markets Served:
- Industries
- Appliances
- Health
- Infrastructure
- Buildings
- Industry
- Wearables
- Applications
- Asset tracking & monitoring
- Human Interfaces
- Predictive Maintenance
Key Benefits
| Any data. Any device 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. |
- Unlock sensor data value
Build high-quality sensor datasets and leverage advanced data analysis tools to quickly detect data quality issues with any dataset. - Advance algorithm development 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 edge AI models Optimize any model by profiling its on-device performance and tuning it to leverage your specific hardware acceleration capabilities.
- Target agnostic edge deployment Future-proof your workflow by allowing you to generate models and algorithms that will perform at peak efficiency on any edge hardware.