Litmus Automation (Litmus)
Software : Operational Technology : IIoT
Litmus for Smart Manufacturing is the only Industrial IoT Edge platform that provides the critical data connectivity needed to monitor, visualize, analyze and optimize production lines at scale. Litmus connects to all data sources on the factory floor - PLC, SCADA, MES, Historian and Sensors - to provide a complete data picture to the people who need it to increase visibility, uptime, performance and quality.
Recent Posts
Breaking Down CB Insights’ Advanced Manufacturing 50 for 2022
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Exponential Industry’s thoughts on CB Insights’ Advanced Manufacturing 50. Data lakes drive MLOps into manufacturing processes. 3D printing companies continue to merge.
Assembly Line
Using AI to increase asset utilization and production uptime for manufacturers
Google Cloud created purpose-built tools and solutions to organize manufacturing data, make it accessible and useful, and help manufacturers to quickly take significant steps on this journey by reducing the time to value. In this post, we will explore a practical example of how manufacturers can use Google Cloud manufacturing solutions to train, deploy and extract value from ML-enabled capabilities to predict asset utilization and maintenance needs. The first step to a successful machine learning project is to unify necessary data in a common repository. For this, we will use Manufacturing Connect, the factory edge platform co-developed with Litmus Automation, to connect to manufacturing assets and stream the asset telemetries to Pub/Sub.
The following scenario is based on a hypothetical company, Cymbal Materials. This company is a factitious discrete manufacturing company that runs 50+ factories in 10+ countries. 90% of Cymbal Materials manufacturing processes involve milling, which are accomplished using industrial computer numerical control (CNC) milling machines. Although their factories implement routine maintenance checklists, there are unplanned and unknown failures that happen occasionally. However, many of the Cymbal Materials factory workers lack the experience to identify and troubleshoot failures due to labor shortage and high turnover rate in their factories. Hence, Cymbal Materials is working with Google Cloud to build a machine learning model that can identify and analyze failures on top of Manufacturing Connect, Manufacturing Data Engine, and Vertex AI.
Introducing new Google Cloud manufacturing solutions: smart factories, smarter workers
The new manufacturing solutions from Google Cloud give manufacturing engineers and plant managers access to unified and contextualized data from across their disparate assets and processes.
Manufacturing Data Engine is the foundational cloud solution to process, contextualize and store factory data. The cloud platform can acquire data from any type of machine, supporting a wide range of data, from telemetry to image data, via a private, secure, and low cost connection between edge and cloud. With built-in data normalization and context-enrichment capabilities, it provides a common data model, with a factory-optimized data lakehouse for storage.
Manufacturing Connect is the factory edge platform co-developed with Litmus Automation that quickly connects with nearly any manufacturing asset via an extensive library of 250-plus machine protocols. It translates machine data into a digestible dataset and sends it to the Manufacturing Data Engine for processing, contextualization and storage. By supporting containerized workloads, it allows manufacturers to run low-latency data visualization, analytics and ML capabilities directly on the edge.
Litmus Secures $7 Million Series A Financing From Mitsubishi Corporation
Litmus Automation, an Industrial Edge Computing platform provider, today announced it has completed a $7 million Series A round of financing led by Mitsubishi Corporation. The investment brings Litmus Automation’s total funding since launching its secure Industrial Edge Computing platform to $12.6 million and will help the company quickly ramp up sales and marketing efforts to meet the demand for companies ready to move to Industry 4.0.