Reduction in technical search time, elimination of interpretation errors, immediate troubleshooting support, and simplification of testing and commissioning procedures.
Manufacturing & Automotive; Electronics
Validated & optimized AI algorithm
Software solution provider and Manufacturing Users
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Ai-based solution: 1) Technical and business requirements; 2) Data field collection for cost monitoring; 3) Intelligent quotation platform activities
Industrial product provider – Platform Provider
This solution drastically reduces the time needed to obtain insights, makes data truly usable by everyone, relieves the technical team of tactical requests, improves operational decisions in the field, and finally imposes a single, consistent definition of KPIs.
Manufacturing & Automotive
documentation + summary-report
anyone with an ai solution (whether someone who developed it or someone who bought it)
The service is meant to support the implementation of AI based configuration tools. The expected result is a validated AI-based solution able to either suggest produt/service settings ot to automatically adjust the product/service itself according to specific condition (i.e. user type, environment, product type etc)
Manufacturing companies, Equipment provider, OEM
Full visibility into the product life cycle, improved transparency and compliance, reduced waste, more informed decision-making, and stronger sustainability efforts through complete traceability.
Manufacturing & Automotive
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
Validated & optimized AI chatbot
Software solution provider
Enriched database, structured company knowledge and automated knowledge-intensive processes
Industrial plant and asset provider, machine learning platforms providers – Software solution provider for quality process optimization
Demonstrate that application of AI reinforcement learning can greatly improve efficiently and reduce costs as compared to conventional heuristic production planning
AI-User - manufacturing companies that want to improve efficiency of production planning and resource management.
Validation of the industrial simulation model for the selected process
Test of the information flow among the physical and digital and virtual world.
Manufacturing companies and asset providers - Software solution providers for digital twins
End-User Benefits: Optimization of process parameters selection, rapid reconfiguration to dynamic market needs
Technology Developer Benefits: opportunity to integrate and validate innovative add-on functions on DED AM processes, access to sensor infrastructure, AM equipment and combined AI and process expertise
Deliverables: Experimentation and validation reports, performance evaluation results
Technology providers and AI developers wanting to integrate, test, and validate data-driven tools and add-on functionalities for Directed Energy Deposition (DED) additive manufacturing processes.
Industrial end-users wanting to optimize process parameters, improve production efficiency, and enable rapid reconfiguration to meet changing market demands.
Client Required Infrastructure: Process specifications and application requirements related to DED AM (materials, geometries, performance targets).
Test and validation of AI-based bin picking system in real manufacturing scenarios
Robot and automation Provider
End-User Benefits: Early detection of defects and anomalies, improved final part quality and reduced scrap rates
Technology Developer Benefits: Opportunity to integrate and validate innovative add-on functions on DED AM processes, access to sensor infrastructure, AM equipment and combined AI and process expertise
Deliverables: Experimentation and validation reports on AI-based quality assessment solutions for DED AM, performance evaluation results
Technology providers and AI developers wanting to integrate, test, and validate AI-based quality assessment solutions for Directed Energy Deposition (DED) additive manufacturing processes.
Manufacturing companies and industrial end-users wanting to improve part quality, detect defects early, and reduce scrap rates through advanced monitoring and analysis.
Client Required Infrastructure: Process specifications and quality requirements (e.g., materials, geometries, acceptance criteria)