4.8 out of 5 stars
(139 Ratings)
Tractian serves as the Industrial Copilot focused on enhancing maintenance and reliability by integrating both hardware and software to oversee asset performance, streamline industrial operations, and execute predictive maintenance approaches. The platform, powered by AI, enables companies to avert unexpected equipment failures and improve production efficiency. Headquartered in Atlanta, GA, Tractian also has a global footprint with branches in Mexico City and Sao Paulo, thereby expanding its reach. For more information, you can visit their website at tractian.com, where additional resources and details about their offerings are available.
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4.9 out of 5 stars
(4 Ratings)
Epicor Connected Process Control (CPC) enables manufacturers to digitize and standardize production processes through a flexible no-code/low-code manufacturing platform. Combining digital work instructions, operator guidance, process control, and real-time data collection, CPC helps teams improve execution, reduce errors, and maintain consistent production across assembly and manufacturing operations.
With support for connected equipment and shop floor devices, manufacturers can capture production and quality data directly from operations while gaining greater visibility into performance, defects, rework, and process compliance. Product traceability capabilities provide a detailed history of each product's build and inspection record, supporting quality initiatives and continuous improvement efforts.
CPC is well suited for manufacturers managing complex product variations, dynamically presenting operators with the appropriate instructions and process requirements for each build. By connecting people, processes, and production data within a single platform, manufacturers can improve quality, increase operational visibility, and drive more consistent outcomes across the shop floor.
Available on-premises or in the cloud, CPC scales from individual production areas to enterprise-wide manufacturing environments.
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Lumada IIoT
4.0 out of 5 stars
(1 Rating)
Design sensors specifically for IoT applications while improving the quality of collected data through the integration of environmental and control system information. This integration must happen in real-time alongside enterprise data, enabling the implementation of predictive algorithms that reveal new insights and maximize the value of your data for meaningful applications. Employ advanced analytics to predict maintenance needs, understand asset utilization, reduce defects, and optimize processes. Leverage the potential of interconnected devices to offer remote monitoring and diagnostic capabilities. Additionally, apply IoT analytics to foresee safety hazards and ensure regulatory compliance, which ultimately contributes to a reduction in workplace accidents. The Lumada Data Integration platform streamlines the rapid development and scaling of data pipelines, amalgamating information from a variety of sources, such as data lakes, warehouses, and devices, while proficiently managing data flows across different environments. By building partnerships with clients and industry stakeholders from diverse sectors, we can accelerate digital transformation, thereby creating new societal value. This collaborative method not only fosters innovation but also promotes sustainable growth in a world that is becoming increasingly interconnected, proving that teamwork is essential for success.
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InfiConnector
InfiConnector serves as an intermediary software installed across various gateways, facilitating the connection of equipment to InfiIoT, which is widely recognized in the realm of the Internet of Things (IoT) and Industrial Internet of Things. This solution ensures secure connections to a range of devices, such as photovoltaic panels, battery storage systems, HVAC units, and compressors, utilizing industrial protocols like Modbus and OPC UA, alongside cellular networks including 5G. Additionally, InfiConnector can be seamlessly configured using cloud services to gather data, enabling preparation for subsequent data analysis or Artificial Intelligence (AI) tasks as well as cloud-based applications.
Acting as a no-code edge computing interface and rule engine, it allows for the swift setup of any machine to access computer, diagnostic, alerting, and log management services within just minutes.
This lightweight middleware requires a minimum of 512MB of RAM, a single-core CPU, and 16GB of disk space, and it is compatible with Ubuntu version 20.04 or newer. With its user-friendly design, it simplifies the integration process for various industrial applications.
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