Test results/Feasability Report/Recommendation Report/Synthetic Training Dataset/Trained Model
Vision AI Providers that want to employ better vision AI models but lack sufficient amount of data.
Test results/Feasability Report/Recommendation Report on Machine Vision System under test
Machine Vision System Providers, Machine Vision System Users, Computer Vision Software Providers, Computer Vision Software Users
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Report with assessment results and, where relevant, with suggested XAI methods. Optionally the implementation of those methods.
Open for anyone with a (nearly) finished AI application
Prototype
Companies/SMEs with a concrete implementation idea with a successful Quick Check/proof of concept
Feasibility report, measurement results
WPT technology provider
Collected and processed sensing data relevant to the agreed industrial use case
Assessment of data quality and suitability for monitoring, optimisation or modelling
Identification of relevant patterns, operating conditions or potential anomalies in the measured data
Trained data-driven or machine-learning model where applicable to the agreed use case
Processed data and model outputs suitable for further optimisation, condition monitoring or virtual system development
Manufacturing companies, machine and equipment manufacturers, industrial technology providers and system integrators seeking to use sensing and production data for condition monitoring, process optimisation, predictive analysis or system modelling.
Supporting SMEs in the test of AI based solutions for manufacturing applications
Providers of AI based solutions
Demonstrate applicability of the solution for manufacturing industry and fulfilling needs of multiple users – SMEs from manufacturing industry
Furthermore, as a result of the experiment, the client receives a comprehensive evaluation report outlining the performance and feasibility of the proposed robot automation solution for client’s specific use cases.
The report provides clear conclusions on whether the solution meets the client’s needs, including its ability to operate across multiple machines without requiring additional programming or reconfiguration for each new setup.
AI-User - manufacturing companies that operate in high-mix, low-volume settings or constantly changing parts and need flexibility in their production processes
The customer receives a structured audit report with a rating per criterion, identified process and governance gaps, and recommendations for improvement and risk mitigation. For a Deep Audit, the report also includes evidence-based findings, a gap analysis and an action plan. The audit assesses whether the organization’s processes and management structures are suitable for meeting applicable requirements. It does not assess the quality of individual datasets or the technical properties of specific AI models and does not perform the organization’s risk management activities on its behalf.
Open for anyone
Proof of Concept
Companies/SMEs with a concrete implementation idea without a proof of concept
A comprehensive report including:
Manufacturing, Logistics, Automation, Robotics, AI Development, Warehousing, Industrial Automation.
Documentation + summary report
AI-Provider
Deliverables: feasibility report, recommendations for improvement
Technology providers developing AI-based machine vision solutions and want to test it with the use of synthetic data. Industrial end-users wanting to enhance their systems using AI.
Customer required infrastructure: Reference parts or samples access, CAD files, operational constraints, equipment information, or existing models and algorithms
Optimized AI model for time series analysis and forecasting tailored on the specific industrial need
AI-based software for manufacturing Provider