Use a zero code environment to containerize your ML pipelines for A/B testing with QA testers, users and product owners alike. Our portable edge containers make your ML pipeline ready to run on any supported device consistently.

Distribute and collect on-device feedback directly from users, product owners and QA engineers. Gathered reports will include metadata on devices, input/outputs, labels, and other key information for you to make decisions on your ML pipeline. Our system automates collection and delivers to you in your preferred destination and tools.

Deploy your EdgeML pipeline to supported devices. Once deployed continously iterate and seamlessly deploy updates to supported devices. Conduct experiments, cost analysis and user engagement all in one place.