Edge ML is a software suite and end-to-end framework for creating, training, deploying, and executing Machine Learning models on edge devices on time-series data. Edge ML includes MLOPs, ML Tools, and Edge ML Core running cross-platform on Android, iOS, Linux, and more.
Solve Real World Problems
Our Edge ML algorithms can help you create real-time products that are efficient, quick, and insightful. Spend your time on your product and let Edge ML work for you!
Examples Include
Fitness Tracking
Anomaly Detection
Virtual Reality
Mobile Gaming
Indoor Navigation
IoT Smart Apps
Workout Apps
Health Monitoring
Digital Twins
Performance Analysis
Autonomous Robotics
Quality Control
Skip data collection and use our pre-trained models
Receive real-time feedback and data analysis
All Sensor Data Welcome
Collect and explore your data. Edge ML algorithms accept any time-series data including sensor data commonly found on mobile devices, IoT devices, and wearables. Collect your own data or use one of our Edge ML apps to assist you in collecting data. Most models can be created with just minutes of data.
Extensive Tools for Training
Use our friendly web and mobile application for rapid training and testing of your models. Training can even be done in real-time on your edge device and deployed in minutes!
Train and test your models directly on your edge device in minutes
Use our pre-trained models to save time
Additional training tools available in our web application
Currently Edge ML is in active development and our team is working hard to release API and docs. Alpha builds of the framework, including an alpha API, exist and are available for demonstration. Please get in touch with our business team to apply for a product demonstration today.
