AIDEAS Adaptive Controller
Toolkit to train models with measurement data and then train machine controllers with said models to accommodate the machine condition and requirements.
AIDEAS Anomaly Detector
Toolkit that will allow detecting anomalies at component-level or of the machine as a whole when it is in working conditions in the factory where it is being used.
AIDEAS Condition Evaluator
Toolkit for determining the condition of the machine as a whole or of some of its components when it is in working conditions in the factory where it is being used.
AIDEAS Machine Calibrator
Toolkit for the fast calibration of industrial equipment when installed for the first time in a factory or when a re-calibration is needed. It uses AI techniques for providing the most well-suited calibration parameters.
AIDEAS Delivery Optimiser
AI-based toolkit that is capable of optimising the storage and delivery of products. This optimisation will target storage space, storage conditions and product transportation. Additionally, this optimiser will provide optimisation for logistics scheduling and planning
AIDEAS Fabrication Optimiser
Toolkit for optimising production scheduling and resource allocation by predicting production and set-up times, operations dependencies, etc. allowing a near real time response to environment changes like machine breakdowns, last minute customer orders and raw materials delays, through AI.
AIDEAS Procurement Optimiser
Toolkit for optimising the inventory and purchase of materials and components that are required to build a machine, and meet customer delivery dates using AI.
AIDEAS CAx Addon
Set of APIs and UIs supporting the integration of AI-assisted optimisation modules into CAx systems.
AIDEAS Machine Synthetic Data Generator
Toolkit for synthesising large high-quality datasets by simulations for the analysis of the machine design and for the training of the optimisation algorithms that will propose optimal design parameters
AIDEAS Machine Design Optimiser
Toolkit to assist designers to optimally define the key design parameters in multiphysical systems, enhancing machine performance as required for each scenario, through AI.
