Driving data driven innovation in the Industrial world has always been Complex, Expensive & Non-linear.
Over the last 7 years and 1000s of sites deployed, Litmus has narrowed down on 6 Essential building blocks for any successful Industrial Data Project.
The usecases can be very different but building blocks are identical.
Some projects start with a few of the blocks but most of the projects end with all of the blocks.
On any modern plant floor, there are generations of control systems, purpose-built data loggers, OPCUA servers, historians, robotic systems, and more. Many of them are never connected to networks or collect data beyond operational purposes.
We believe that if we truly want to optimize manufacturing operations, understanding granular and clean data is critical.
So, the First step of any Industrial DataOps platform is to enable connectivity.
How Litmus is different: Litmus Edge has native and out-of-the-box drivers or protocols for every OT system required, including PLCs, DCS, Robotics, Loggers, Historians, and anything else. There is no dependency on purchasing OPCUA servers or SCADA.
Majority of industrial usecases require frontline worker applications or feedback to the assets.
Purchasing and managing additional databases is not an option.
Litmus Edge comes with native out of the box timeseries database.
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The ultimate destination for operational data is at Cloud, Data warehouses or Enterprise applications that can use it for extended analytical and business applications.
Most of the Projects start with a site or a few sites deployments and as soon as ROI is defined, the same team is required to scale it up. Go for 10, 50, 100 sites? Litmus team has identified 4 essentially blocks required for projects during scale up.
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