Your data, our technology, and how we tie it all together.
TwinThread’s hundreds of prebuilt and out-of-the-box data agents connect quickly, easily, and automatically to all types of industrial data sources, including data historians, PLCs, maintenance databases, and IoT devices in a secure, frictionless flow. Within hours, you can have all your data ready for visualizations.
Industrial customers can ingest decades of maintenance and operations data into TwinThread’s Predictive Operations Platform.
TwinThread’s digital twins deliver unparalleled visibility to all aspects of industrial assets and operations. The digital twin provides the structure and context to automate insights across all assets, production lines, and plants. Within hours, you can get the visibility necessary to take action.
The power of Azure, combined with the digital twin’s scalable asset hierarchy and machine learning, solve the toughest operations and maintenance problems at enterprise scale.
Domain experts can make critical decisions quickly with TwinThread's out-of-the-box visualizations, graphs, and no-code workflows to solve and prevent problems across all asset types and production lines, regardless of their uniqueness or similarities
Whether you are looking at trends or correlations, TwinThread's monitoring dashboard quickly turns data into insights based on the context that is automatically prepared by digital twins.
TwinThread’s digital twins tie together the insights and actions, by creating intelligent alerts every time a process is operating outside of normal conditions, an event or property is predicted to fail, or a condition is outside of a particular range. These insights are among hundreds of other descriptive, predictive and prescriptive scenarios surfaced by intelligent alerts.
Within weeks, domain experts can design steps to solve problems and automate processes in a single, no-code flowchart environment built for all industrial contexts.
Domain experts can also create digital threads, or logical workflows, to transform alerts and insights into systematic and scalable ways to drive improvements universally from a single pane of glass and deliver multimillions in business value everywhere.
Digital threads are used to operationalize intelligent actions. Threads can be managed from TwinThread's Predictive Operations Platform dashboard to provide a global view for the experts responsible for optimizing asset and process performance. This view is enterprise-wide and provides the data and visualizations that inform on what is happening, what improvement initiatives have been implemented, and how those initiatives are deployed to solve problems at enterprise scale.
Once we have accurate predictive models, you can analyze the output of models in many different ways. For example, experts that are developing new products care about the costs for those products. There is also a wide-ranging set of different use cases for R&D, finance, and operations that require the same data used to generate manufacturing insights.
Curated data sets represent a very accurate view of energy, downtime, quality, throughput and other operations/maintenance use cases that can be exposed to common BI tools. Business leaders can easily use curated data sets to organize insights and data in ways that other teams can use to make key decisions. These data sets transform the manufacturing data into a form that can be consumed by the business without days of data preparation and filtering.
Digital threads are no-code logical workflows that are used to automate calculations or operationalize actions. Threads are automatically running in background and evaluating all anomaly conditions. There might be 20 or 30 of these threads evaluating different aspects of production, or in the case of a critical piece of equipment, they would also be looking at maintenance or operating conditions. The Predictive Operations Platform was designed for production engineers to create and deploy digital threads in a no-code flowchart environment with a library of out-of-the-box analytics capabilities.
The actions represented by a digital thread could be a trigger of something that can happen when an event occurs, such as sending an email directly to the service team or calculating actions back to the SCADA system to create an automated setpoint change. Domain experts can perform calculations and feed them back to the SCADA system or other industrial automation systems if that is the best way to take an action and solve problems. TwinThread’s scalable capabilities support the deployment actions, represented by digital threads, across millions of assets and managed by domain experts on a single platform. Adding intelligence to operations in this way is very quick and effective.
The Model Factory is a digital assembly line for automating machine learning (ML) model creation and deployment across thousands of assets from a single view. This means that you don’t have to be a data scientist to create robust and reliable models. However, the platform also provides capabilities for data scientists to create and tune models using their knowledge and expertise, but without the hassle of curating datasets. The TwinThread platform prepares and optimizes the data based on the Digital Twin model, and then automatically evaluates and selects the best performing algorithm. You can rapidly train and deploy these models across a fleet of assets and processes, or you can just as easily do the same on a per-asset or per-process basis for those cases when “context matters".
TwinThread enables data scientists to configure prebuilt templates once and deploy the models to all assets from a single process. As a data scientiest, you don’t have to create a model per piece of equipment. Optimizing features and selecting the best performing algorithm for each unique circumstance is critical for automating this process at scale. TwinThread does this out-of-the-box, to ensure you have this automation in place so that you don't have to build and maintain these models one-by-one. We have automated this process and released all data scientists from the drudgery of data preparation and model development and, instead, help them focus on more strategic tasks.
In the event you want to develop your own client experience, TwinThread provides a comprehensive API which expose all aspects of the TwinThread data model. Using this same API, you can develop your own interfaces to interoperate with any system and transform insights into actions.
Out of the box integration with all Office 365 tools. Use TwinThread outputs and easily marry to other business elements.