We provide support for testing and experimenting with advanced predictive analytics solutions based on sensor data, physical models, and artificial intelligence algorithms. This service enables the simulation of machinery’s future behavior under various operating conditions, load scenarios, and production configurations. The goal is to help companies anticipate performance, potential stress points, and the effects of operational changes before they occur in the real world.
The ability to test operational scenarios without impacting actual production, reduced operational risks, optimized machine operating conditions, improved production planning, support for engineering decisions, and increased efficiency in the design and management of industrial assets.
Assessment: Analysis of machinery, production processes, and available data to identify the critical variables to be included in the simulations. Evaluation: Study of current operating models and typical operating conditions, identifying the factors that influence performance and wear. Data collection: Integration of historical, sensor, and operational data to build a reliable information base for the simulation. Simulation model: Hybrid models based on physics and AI to replicate machinery behavior in virtual environments. Simulation execution: Generation of what-if scenarios to analyze system behavior under varying conditions (loads, speeds, production cycles, operational stresses). Analysis of results: Evaluation of simulation outputs to identify critical issues, inefficiencies, and opportunities for optimization. Model optimization and tuning: Continuous refinement of simulation models through comparison with real-world data and new operational scenarios.
Manufacturing & Automotive – Providers of AI based solutions for manufacturing