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
Improved or newly developed control strategy for the agreed electrical drive or power-electronic application
Evaluation of system performance, reliability, robustness and energy efficiency against agreed criteria
Assessment of system behaviour under relevant sensor failures or outages were included in the test scope
Identification of technical limitations and opportunities for further optimization
Recommendations for further development, implementation or experimental validation
Technical report summarising the analysed system, applied methods, test results and recommended improvements
Manufacturers and developers of electrical drives, power converters, power-electronic systems and industrial equipment, as well as system integrators seeking to develop, improve or validate advanced or AI-assisted control algorithms.
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. This implementation reduces manual documentation workloads by up to 80 percent and accelerates critical decision making, proven in previous bio industrial pilot projects to turn complex multi sensor data streams into automated actionable executive summaries.
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
A validated anomaly detection performance report;
A risk and deviation analysis profile
Identified data gaps and model weaknesses
Optimization recommendations (technical & operational);
Evidence base for market uptake, certification, or regulatory dialogue;
Optional pilot validation in a near-real environment
Not specified
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.
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.
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