automates analysis of complex image or time-series data to provide continuous, objective measurement of how changes in manufacturing affect product performance.
R&D focused & scalable - goal: customize quickly, but provide an end to end solution
experience with battery R&D - goal: understand battery failure modes
integration of telemetry & image data - synthesize images into quantitative data
robust algorithms that are resistant to sensor failures
We are building a software product to use cloud-based machine learning to better understand telemetry & image data from complex systems, getting products to market faster and reducing costs.
Ultimately, Machinery Analytics intends to leverage IoT and Industry 4.0 to launch a transformation in manufacturing quality assurance and control from the current method of ensuring process repeatability to a new paradigm where product performance is the driving force for process and design decisions.
Our product is designed to be massively scalable, so that the insights gained during R&D can be used to monitor and improve performance during full scale production, or ultimately used to provide failure identification and prediction for end users of high volume, high value products.