Product Listings
Machine Health Solutions that use the Internet of Things (IoT), Artificial Intelligence (AI), and reliability expertise to predict and prevent equipment failure and improve overall machine performance.
Process Health Solution uses hybrid intelligence, a combination of Artificial Intelligence (AI) and process experts, to help prevent inefficiencies and production losses related to quality, yield, throughput, waste and energy.
IntelliSense.io is a software platform designed for the mining industry, offering real-time data analytics, artificial intelligence, and process optimization. The software integrates with existing mining processes to collect and analyze operational data, providing insights to improve efficiency, resource management, and decision-making. It features modules for predictive maintenance, process simulation, and visualization, enabling mining operations to identify inefficiencies, reduce downtime, and optimize resource usage. The software addresses challenges such as process variability and operational silos by delivering actionable recommendations based on machine learning and data modeling, supporting more sustainable and productive mining workflows.
Intellect is a software developed by Intellidynamics that provides data analysis and visualization capabilities for businesses seeking to transform raw data into actionable insights. The software enables users to import, process, and analyze various data formats, supporting tasks such as reporting, data mining, and trend identification. Intellect offers tools for preparing datasets, applying filters, performing statistical analyses, and generating graphical representations of business data. The software is designed to facilitate better decision-making processes by helping organizations uncover patterns and relationships within their data, addressing the challenge of making informed choices based on large or complex datasets.
Sensor Sim is a software designed to simulate a wide range of automotive sensors for the purpose of supporting the development and testing of autonomous vehicle systems. The software enables the simulation of sensors such as lidar, radar, camera, and ultrasonic devices in various driving environments and scenarios. Sensor Sim provides configurable parameters for sensor models, including environmental effects and sensor placement, to help users evaluate the performance and reliability of perception algorithms. By generating realistic sensor data, the software helps address challenges related to sensor fusion, perception validation, and system integration in simulation-based workflows. Sensor Sim is intended to streamline the development process for advanced driver-assistance systems and autonomous driving technologies by enabling comprehensive virtual testing before real-world deployment.
SITRANS Soft Sensor Engine IQ (SITRANS SSE IQ) is a software solution that delivers virtual measurement values by combining advanced AI models with deep process knowledge. It predicts key process parameters even when no physical sensor for target component is installed. Using process design and historical data, SITRANS SSE IQ builds a process model that blends physical simulation and AI to calculate target results. Applications range from emission prediction to quality analysis and process control in environments like Chemical, Energy, Water or Pharma.
Benefits include real-time quality insight, faster measurements, reduced sensor dependency, and lower investment and maintenance costs. Its modular design enables cross-vendor integration into an automation system (supports edge and cloud deployment) with minimal configuration and easy scalability across plants. Users create AI models with automated modelling tool or integrate custom models developed in Python.
COMPREDICT Virtual Sensor Platform is a software designed to enable the creation and deployment of virtual sensors for monitoring and analyzing the performance and condition of automotive components and systems. The software utilizes data-driven modeling and machine learning techniques to estimate physical parameters that are typically measured by physical sensors. By processing existing vehicle data, the software provides insights into wear, usage patterns, and predictive maintenance needs, supporting more informed decision-making in fleet management, engineering, and maintenance operations. The software addresses the business need to optimize operational efficiency, reduce costs associated with physical sensors, and enhance vehicle lifecycle management through improved data utilization.
Elliptic Labs AI Virtual Smart Sensor Platform is a software that provides sensor solutions powered by artificial intelligence for devices such as smartphones, laptops, and IoT products. The software enables touchless gesture control, presence detection, and proximity sensing by using ultrasound and sensor fusion technologies combined with machine learning algorithms. It replaces hardware sensors with virtual software-based alternatives, addressing challenges related to device design, cost, and battery life. The platform offers features that enhance user interaction, device accessibility, and energy efficiency by enabling contactless operations and optimizing the use of device resources.
Inovec Dynamic Virtual Sensors is a software designed to facilitate advanced monitoring and analytics for industrial and manufacturing environments. The software utilizes data-driven techniques and machine learning to create virtual representations of physical sensors, enabling organizations to extract actionable insights from equipment and process data. By modeling sensor behavior digitally, the software provides continuous diagnostics and predictive maintenance capabilities, helping businesses improve asset reliability, optimize operational efficiency, and reduce unplanned downtime. It offers integration with existing control systems and delivers real-time analysis to support informed decision-making in industries where sensor data is critical for maintaining productivity and quality.
SensorUp Connected Assets is a software that enables organizations to manage and monitor a wide range of asset types by integrating data from various sources, including IoT sensors and devices. The software provides real-time visibility into asset location, status, and condition, supporting decision-making and operational efficiency. It offers features such as data aggregation, geospatial analytics, and event-driven automation, helping users detect anomalies, schedule maintenance, and enhance asset utilization. SensorUp Connected Assets addresses the business problem of fragmented asset data by presenting unified insights that support safety, compliance, and productivity across asset-intensive operations.
traceVision Platform is a software designed to facilitate traceability and transparency across supply chains and manufacturing operations. The software enables organizations to track products through various stages by capturing and integrating serial numbers, batch data, and production events. It provides capabilities for data collection, validation, and reporting, supporting compliance with regulatory requirements and standards. The software assists businesses in managing recalls, verifying authenticity, and preventing counterfeiting by maintaining a detailed record of product movements and interactions. Through its integration with enterprise systems, traceVision Platform enhances visibility, supports quality control processes, and addresses challenges related to product lifecycle management in industries such as pharmaceuticals, food and beverages, and consumer goods.