The expected outputs include a technical compliance report detailing risk classification, identified gaps, and recommended actions, as well as guidelines to improve explainability and documentation. These deliverables support organisations in preparing for certification processes, audits, and market entry.
Verified AI agents in desired scenarios
Not specified
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Convincing a company to go further in test and experimentaion of an AI technology
SMEs looking for help and support in understanding new digital technologies
A documented AI development and testing outcome for the selected quality control application, including trained model results, evaluation of smart camera performance, and recommendations for implementation, further development, and user adoption. This process accelerates deployment time by up to 60 percent, targets defect detection accuracy above 99 percent, and builds on validated manufacturing cases in metal stamping, plastic molding, and pharmaceutical packaging to eliminate manual inspection costs.
Manufacturing, Quality control and inspection, Machine vision, Robotics and automation, Industrial AI applications
Result delivered varies according to selected use case, see the methodology list
Not specified
The results differ according to selected scenario, see the methodology list
Not specified
Delivery of digitalised asset models and simulation artefacts, accompanied by a report explaining model generation, simulation results, digital twin behaviour, and recommendations for further integration.
Manufacturers seeking to digitalize assets and generate digital twins using AAS‑based models for advanced simulation workflows.
Machine and robot Providers Industrial Users