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
Feasibility report
Supply Chains with SME with complex manufacturing systems or products
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Measurable improvement in model accuracy, reduction in data and performance drift, increased reliability of predictions, continuity of value generated by AI over time, reduction in manual corrective
Manufacturing & Automotive
1) Improving system features
2) Increase system robustness to sensor failures or outages
3) Improve energy utilisation
n/a
Report with Test Results and Evaluation
Cobot manufacturers, Companies in particular SME, who want to use cobots in logistics and assembly
A validation of data integration tools and automated reporting systems with documented results, assessment of usability, and recommendations for implementation in existing workflows.
Biosolutions, Biotechnological processes, Data-driven process optimization, Other emerging and enabling technologies, Industrial companies needing automated reporting
Documented insights into data patterns and process anomalies with reported model results and recommendations that can form the basis for future optimization, monitoring, or implementation of AI-based solutions.
Biosolutions, Biotechnological processes, Process monitoring, Predictive maintenance, Other emerging and enabling technologies
AI-Provider, AI-User
The customer receives a structured audit report with a rating per criterion, identified weaknesses and prioritized recommendations. For a Deep Audit, the report also includes statistical analyses and quantified findings.
Open for anyone
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.
1) Data collecting
2) Quality prediction
3) Production prediction
4) Maintenance planing
n/a
Validation of data integration tools and reporting systems with documented results and recommendations for implementation in existing workflows and further use of analytics and AI tools.
Biosolutions, Biotechnological processes, SCADA-based production environments, Data-driven process optimization, Other emerging and enabling technologies
Delivery of interoperable data pipelines or digital threading mechanisms, plus a technical report describing data models, transformation logic, standards applied, and validation results.
AI technology providers requiring interoperable data pipelines and cross‑domain digital threading for manufacturing IT/OT integration.
Evaluation report
Manufacturers and generally SME experimenting with heterogenous data sources typical for factories