All services
Below you will find the general services currently available in our catalog. Do you have a different, specific need? In many cases, we can assist your organization with customized support. Contact us for more information.
Intelligent sensing systems analyses, deployment and testing (advanced signal and data processing).
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
Target Audience
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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.
Production Planning
Analysis of the existing production-planning problem, available data and relevant constraints
Optimised production plan or scheduling approach for the agreed manufacturing use case
Comparison of alternative production schedules against agreed planning criteria
Identification of opportunities to improve resource utilisation and reduce manual planning effort
Recommendations for further implementation or integration of the AI-based planning approach
Technical report summarising the planning model, evaluated scenarios, results, identified limitations and recommended next steps
Target Audience
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Manufacturing companies, production-planning solution providers and system integrators seeking to optimise production schedules, machine and resource utilisation, production capacities or internal logistics using AI-based and optimisation methods.
Data insight
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
Target Audience
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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.
Computer modelling and simulation, data processing
Simulation model representing the agreed manufacturing system, equipment or process scope
Results of the evaluated simulation scenarios and analysis of relevant system behaviour
Assessment of model assumptions, fidelity and limitations
Independent verification of the proposed technical solution where applicable
Model and processed data suitable as a basis for digital twin preparation or further AI-based analysis
Technical report summarising the model, evaluated scenarios, simulation results, identified limitations and recommendations for further development
Target Audience
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Manufacturing companies, machine and equipment developers and system integrators that need to evaluate new systems, process modifications or operating scenarios virtually before physical implementation, or prepare models for digital twin, optimisation or AI applications.
Assistance with power converters and industrial electrical drives setup.
Documented application and system requirements relevant to drive and converter setup
Processed and evaluated operational or measurement data supporting parameter selection
Model or structured representation of the drive-system behaviour where required for the agreed scope
Recommended parameter settings or configuration strategy for the intended application
Where applicable, decision-support or automated parameter-selection approach to support repeatable drive configuration
Target Audience
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Manufacturers, machine builders, industrial equipment operators and system integrators using power converters or electrical drives and seeking support with parameter setting, application-specific optimisation or automated configuration.
Electric drives optimization.
Collected and processed drive-system data relevant to the agreed optimisation task
Evaluation of drive behaviour and identification of relevant optimisation opportunities
Recommendations for improving drive configuration, operation or performance for the specified application
Where applicable, data-processing or AI-assisted decision method supporting automated optimisation or parameter selection
Technical report summarising the analysed data, identified optimisation opportunities, evaluation results and recommended actions
Target Audience
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Manufacturers of electrical drives and industrial machinery, system integrators and industrial users operating electric-drive systems that need to analyse drive behaviour, extend available measurements or optimise system configuration and operation.
Control algorithms development support for electrical drives and power electronics.
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
Target Audience
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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.
HIL development and component/integration testing for control systems/control algorithms/systems.
System or component model developed or adapted for the agreed HIL testing scope
Results of system, control and integration testing under agreed operating scenarios
Identification of unexpected system behaviour, integration issues or functional limitations
Evaluation of the tested control or AI-assisted functionality against agreed requirements
Recommendations supporting further development, integration and faster prototyping
Target Audience
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Manufacturers, automation technology providers, control-system developers and system integrators developing control software, control algorithms or AI-assisted automation functions for industrial and manufacturing systems.
Energy management in factories
1) Different type of optimalization
2) Data processing and collecting for AI assisted decision
Target Audience
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Industrial plant Provider
Monitoring and quality evaluation of production processes (machining processes, additive manufacturing processes, laser-based production processes)
Evaluation and validation of the monitored production process against agreed process and quality criteria
Identification of process weaknesses, anomalies and potential improvement opportunities
Assessment of the suitability of available data and monitoring infrastructure for AI-based quality assurance or process control
Recommendations for data acquisition, data processing and further implementation of AI-based monitoring or control methods
Technical report summarising the analysed process, applied methods, evaluation results, identified limitations and recommended improvements
Target Audience
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Robot manufacturers, robotic cell providers and system integrators for manufacturing applications
Robotic cell proofing
Validation of system performance against agreed test scenarios and evaluation criteria
Identification of performance limitations, weaknesses and relevant failure cases
Recommendations for improvement of the AI algorithm, system integration or robotic cell operation
Validation report summarising the test setup, performed tests, results and recommended improvements
Target Audience
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Robot manufacturers, robotic cell providers and system integrators for manufacturing applications
Electric components testing
System model developed or refined for the agreed testing scope
Results of system testing and experimentation, including evaluation against agreed requirements and operating conditions
Identification of relevant system behaviour, limitations and potential issues identified during testing
Recommendations for further development, integration or prototyping
Validated basis supporting faster and lower-risk prototyping
Target Audience
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Manufacturers and suppliers of electrical components and systems for industrial energy applications that need to validate component behaviour, support system integration or reduce technical risks during development and prototyping.
Statistical process control
1) Production optimalisation
2) Time saving
Target Audience
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- Producers of cyber-physical systems interested in validating their products
- Manufacturers interested in monitoring the production process
- Computer-based component providers interested in enhancing the product with diagnostic capabilities
Digitization strategy in production
- Validation of system performance,
- highlighting weakness and suggesting possible improvement
Target Audience
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Industrial plant Provider
Additive manufacturing services
AI-based software suitable for manufacturing
Target Audience
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Robot provider, tool Provider
Model-driven production
1) Production optimalisation
2) Time saving
Target Audience
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Industrial plant Provider
Energy-aware production
1) Different type of optimalization
2) Data processing and collecting for AI assisted decision
Target Audience
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Industrial plant Provider
Design and simulation services
- Validation of system performance,
- highlighting weakness and suggesting possible improvement
Target Audience
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Industrial plant Provider
Mobile robots, UGV, UAV experimentation and development support
1) proved applications of AI in mobile robots
2) verified safety of robots in human-robot cooperation
3) verified performance and reliability of human-robot cooperation systems
Target Audience
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N/A
Diagnostics of drives and machines
1) Exploitation of AI methods as enabler technology for reliable predictive maintenace
2) Increased reliability and availaility of industrial actuators and machines based on reliable diagnostics with AI methods use
3) Datasets for “offline” experiments with AI methods
Target Audience
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N/A
5G industrial communications testing and development support
1) proved applications of 5G communication for distributed computing environments ready for AI implementation
2) verified performance of comunication in distributed AI system
Target Audience
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N/A
Edge-continuum apps testing and development support
1) analysis of suitability of different computational architectures for AI implementation
2) optimization of AI algorithms implementation for affordable use on industrial HW
Target Audience
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N/A