AI-based software suitable for manufacturing
Robot provider, tool Provider
Report with recommendations and profiles of identified solution elements
Industrial engineers, systems engineers, manufacturing companies
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Feasibility report, measurement results
Robotics / Intralogistics technology provider / user
Feasibility report, measurement results
Robotics / Intralogistics technology provider / user
Report with Test Results and Evaluation
Integrators and End-Users, including SME
Function prototype and evaluation report
SME with complex manufacturing systems or products
Demonstrate benefits of the Digital Metrological Twin for product quality control
SMEs looking for help and support in understanding new digital technologies for validation of production quality
Delivery of curated and/or extended manufacturing datasets, accompanied by a technical report detailing dataset structure, enrichment methods, quality assessment, and recommended usage for AI model development and validation.
AI solution developers seeking high‑quality manufacturing datasets to support model development, training, benchmarking, and validation.
Collected, cleaned and processed industrial data suitable for further analysis
Assessment of data quality, completeness and suitability for the agreed AI or analytical use case
Identification of relevant patterns and relationships in production, quality, machine or maintenance data
Quality, production or maintenance prediction model where supported by the available data and agreed scope
Evaluation of prediction performance, limitations and relevant influencing factors
Recommendations for further data collection, model development or implementation of AI-assisted decision support
Technical report summarising the analysed data, applied methods, results and recommended next steps
Manufacturing companies, industrial technology providers and AI solution providers that already collect production, quality, machine or maintenance data and want to use these data for prediction, optimisation or AI-assisted decision support.
Validate the applicability, scalability, and adaptability of the AI-driven solution across different manufacturing processes. Demonstrate impact of the applied technology
Manufacturing companies that what to unlock potential of data to improve decision making, optimise operations, enhance machine health, with explicit attention to machine-human interaction and scalability.
Digital Prototype or Feasibility or evaluation report
Hardware provider (machinery, AMR, AGV) or user
1) Different type of optimalization
2) Data processing and collecting for AI assisted decision
Industrial plant Provider
1) Different type of optimalization
2) Data processing and collecting for AI assisted decision
Industrial plant Provider
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.
Evaluation report
AGV and AMR manufacturers, Provider of indoor tracking and tracing systems
Prototype and Report
Companies in particular SME using optical part recognition