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TwinThread Learning Fleet


Enabling and accelerating future operating models for modern industrial enterprises at scale.

We believe that the fleet of the future is a "learning fleet". TwinThread's Learning Fleet is production-ready from Day 1 and built for enterprise scale to connect assets, teams, systems and strategies with predictive models that accelerate learning and automate solutions to problems. 

The Learning Fleet is a SaaS solution built on Azure's IoT, data platform, advanced analytics, and AI building blocks to empower domain experts to solve manufacturing problems at scale. We take a fresh approach to deliver industry-leading, accelerate time-to-value based on three simple steps: 

  1. Get Visibility: TwinThread's out-of-the-box data agents quickly connect to all types of industrial data sources, including PLCs, Historians, OPC, and product quality and lab databases. The Learning Fleet leverages Azure's IoT Hub to ingest data quickly and to demonstrate the power of learning from your data across all types of industrial data sources. Our Digital Twin asset model automatically organizes, prepares, and contextualizes the data for generating insights across the fleet.. 
  2. Get Insights: Our pre-built analytics templates automatically deploy machine learning models to solve problems related to individual asset performance to solve problems at enterprise scale. These models include intelligent conditional alerting, identification of behaviors that are not normal through anomaly detection, and predictions related to problems that have a significant impact on the business. 
  3. Take Action: TwinThread's Digital Threads empower domain experts, including field service engineers, to transform insights into action.