Our Services

Below is just an extract of some of the services available in our catalogue. There are a lot more. Please contact us for more information.

Onsite experimentation services in the field of micro manufacturing (micro- drilling/cutting/welding/machining)
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Validation and benchmarking of Hardware & Software technologies as well as innovative tools at semi-industrial scale (reliability, performance, robustness) in the field of high precision manufacturing (micro manufacturing).

Onsite experimentation services in the field of laser-based micro manufacturing for micro Additive Manufacturing
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Validation and benchmarking of Hardware & Software technologies as well as innovative tools at semi-industrial scale (reliability, performance, robustness) in the field of micro AM.

Onsite experimentation services in the field of laser surface texturing (LST)
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Validation and benchmarking of Hardware & Software technologies as well as innovative tools at semi-industrial scale (reliability, performance, robustness) in the field of laser-based surface texturing processes for specific surface functionalisation or improved structural behaviour.

Proof-of-concept for technology providers in the field of liquid state composite processes, thermoseeting prepregs manufacturing and thermoplastic composites
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Support to Hardware/Software technologies development and validation through integration support and testing (interoperability, connectivity, compatibility) in the execution of pre-defined manufacturing-related tasks in the field of liquid state composite manufacturing processes.

Onsite experimentation services for manufacturing adopters in the field of liquid state composite processes, thermoseeting prepregs manufacturing and thermoplastic composites
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Validation and benchmarking of Hardware & Software technologies as well as innovative tools at semi-industrial scale (reliability, performance, robustness) in the field of liquid state composite manufacturing processes.

Proof-of-concept for technology providers
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Support to Hardware/Software technologies development and validation for specific manufacturing devices through integration support and testing (interoperability, connectivity, compatibility) in a semi-industrial manufacturing environment.

Onsite experimentation services for manufacturing adopters
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Validation and benchmarking of Hardware & Software technologies as well as innovative tools linked to specific manufacturing devices at semi-industrial scale (reliability, performance, robustness) through experimentation (short runs, prototyping, etc.) in the field of manufacturing.

Data enrichment and dataset provisioning.
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Data elaboration based on existing manufacturing datasets and provisioning of industry-relevant collections of manufacturing datasets linked to the production systems and capabilities offered by AIMEN (Composites manufacturing, AM, welding, cutting, etc.) ready to be used

Evaluation and characterization of advanced algorithms for applications in operational processes (manufacturing – warehouses – logistics) and demand forecasting.
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Evaluation of the performance, quality, and accuracy of results offered by different advanced algorithms for specific applications in industrial operational processes using synthetic data generated by digital twins based on process data under study. The

Evaluation of alternative, complementary or improved solutions for advanced algorithms for applications in operational processes (manufacturing – warehouses – logistics) and demand forecasting.
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Evaluation of customer’s advanced algorithms for applications in operational processes (manufacturing – warehouses – logistics) and demand forecastin against different use cases. Analysis of performance. Proposal and initial evaluation of alternative, complementary or improved solutions

Evaluation of control systems for a cobot in terms of trajectory execution precision and collision avoidance
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Characterization of the performance of the cobot control system through test batteries and measurements to evaluate trajectory precision and collision avoidance against predefined objective indicators. The result will be a technical report describing the conducted

Characterization of advanced algorithms for autonomous navigation – SLAM 2D-3D. Characterization of trajectories and performance evaluation of autonomous navigation systems
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Evaluation of the performance offered by different advanced algorithms for autonomous navigation. through test batteries and measurements to assess their behavior against predefined objective indicators. Two possibilities are considered: – the use of real machines

Evaluation of alternative, complementary or improved autonomous navigation strategies for specific use cases – SLAM 2D-3D
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Evaluation of customer’s autonomous navigation strategies against different use cases. Analysis of performance. Proposal and initial evaluation of alternative, complementary or improved solutions to maximice the capabilities and perfomance of the proposed solution in objective

Characterisation of control and quality control systems (AI based) using real time Physically based digital twin (PBDT) of physico chemical processes (material transformation processes and surrounding environment) Virtual manufacturing facility and sinthetic process data sets
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Construction of physically based digital twins of material transformation processes (for instance: injection, extrusion, stamping, peen forming, forging, RTM, 3D printing, chemical reactors, etc) and surrounding production environment (for instance: ventilation, pollutants distribution, etc.) to

Characterisation of control and quality control systems (AI based) using physically based simulation (PBS) of physico chemical processes (material transformation processes and surrounding environment) Generation of domain knowledge and sinthetic process data sets
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Construction of physically based simulation models (continuous) of material transformation processes in manufacturing (for instance: injection, extrusion, stamping, peen forming, forging, RTM, 3D printing, chemical reactors, etc) and surrounding production environment (for instance: ventilation, pollutants

Assessment of AI-based fault and diagnosis algorithms for electric systems
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AI can help in detecting and diagnosing faults in electric systems. By analyzing real-time data from sensors and historical data, AI algorithms can identify abnormal behavior, predict potential failures, and provide early warning signs. This

Evaluation of control algorithms for smart electrical grids, energy storage devices, electrical systems, motors and power converters.
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The evaluation of advanced algorithms in real-time plays a pivotal role in the development and control of both smart grid, hybrid energy storage devices, electrical systems, motors and power converters. This activity aims to comprehensively

Evaluation of different control strategies and algorithms for smart electrical grids, energy storage devices, electrical systems, motors and power converters. Analysis of performance. Proposal and initial evaluation of alternative, complementary or improved solutions
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Evaluation of customer’s control strategies and algorithms for smart electrical grids against different use cases. Analysis of performance. Proposal and initial evaluation of alternative, complementary or improved solutions to maximice the capabilities and perfomance of

Performance Evaluation of Artificial Vision and Perception Systems used for automatic Identification in industrial processes
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This service offers tests and measurements to evaluate the performance of artificial vision and perception systems used for automatic Identification in industrial processes. Performance indicators will be defined and batteries of tests will be carried

Evaluation of alternative, complementary or improved solutions for artificial vision and perception algorithms used for automatic Identification in industrial processes including algorithms to provide advanced data processing of heterogeneous data sources (egg vision and data sources of information)
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Evaluation of customer’s solutions for artificial vision and perception algorithms used for automatic Identification in industrial processes against different use cases. The evaluation of customer’s algorithms to provide advanced data processing of heterogeneous data sources

Evaluation of object identification algorithms for robotic processes
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Evaluation of the performance offered by different advanced algorithms for object recognition. The result will be a technical report describing the algorithm results based on a set of predefined indicators to evaluate their performance. Target

Evaluation of technologies for environment recognition and object identification in robotic processes
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Evaluation of customer’s technologies for environment recognition and object identification in robotic processes against different use cases. Analysis of performance. Proposal and initial evaluation of alternative, complementary or improved solutions to maximice the capabilities and

Intelligent Root Cause identification for quality check
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Intelligent solution test for: - Automatic correlation between faults and defect and their pricipal caueses - identification of corretive actions for avoiding the same defect generation
Asset Tracking Experimentation
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Series of Exèperiments needed to validate the following features: - Comunication functionalities (Precisons, Latency, etc.) - Cognitive functionalities of logistic system able to know and to making movements within an area by orienting and recognizing
Measuring human factor risk: Social Driven Vulnerability Test
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Series of experiments needed to test: - vulnerability assessment of the industrial asset - the risk of the industrial asset to integrate with other actors ( edge computing, sensors, IoT solutions) - Procedures to mitigate
Smart Digital Twin of Industrial Plant for service delivery
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AI-base solution able to: 1) Especially validated simulation model for industrial company that needs to simulate its industrial processes 2) Ability to test the information flow among the physical, digital and virtual worlds in order
Smart Digital Twin for Product Design
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AI-base solution able to: 1) Automated workflow of New Product Development 2) Automated Design review process for optimizing the ergonomics and functional features of the product order to facilitate product usability 3) Virtual Environment Realization
Automatic entity extraction from unstructured documents data
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- enriched database, structured company knowledge and automated knowledge-intensive processes.
AI for predictive maintenance application for machine builder
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AI-base solution able to: 1) Support operator intervention: he is called to actively interact with predictive system 2) Implement Human-machine interface: the system will have to ensure simple management, considering also predictive analyses 3) Optimize
Ai based inventory management and smart scheduling activities optimization
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Testing activities needed to validate the following feature: - bottleneck identification - Multi - scheduling scenarios proposition based on machine learning concept - test and validation of multi-objective optimization function
Intelligent and dynamic forecasting for demad planning
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AI - based solution: 1) Automated workflow of production planning activities; 2) Automated data collection from market and specific clusterization of customer requirements; 3) Intelligent forecasting of market demand.
Intelligent quotation suite platform
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Ai-based solution: 1) Technical and business requirements; 2) Data field collection for cost monitoring; 3) Intelligent quotation platform activities.
AI for process optimization with collaborative robot
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AI-base solution able to: 1) Assess data quality 2) Assess pipeline efficiency 3) Recommendations for improving data and quality
AI for process optimization with collaborative robot
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AI-base solution able to: 1) correct surface detection 2) Autonomous trajectory generation 3) Self-identification of defects on machining activities
Validation of Machine Translation solutions for industrial applications
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Validated machine/speech translation solutions.
Monitoring and diagnosis of AI-system for manufacturing
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AI-based solution able to: 1) Monitor properties or faults 2) Predict failures or estimate unobservable parameters 3) Identify root causes
Planning and Scheduling for Costification in Manufacturing
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Retrospective and predictive analyses for estimating the costs and benefits of having a new machine, AI solutions, robots, ….
Testing of translation solutions for industrial applications
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Test report with detailed system performance under different scenarios and eventual insights on ways to improve performance
Validation of Vision Based Systems for 2D/3D Dynamic Scene Understanding in Manufacturing
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- Validation of system performance, - highlighting weakness and suggesting possible improvement
Validation of Vision Based Systems for 2D/3D Dynamic Scence Understanding in Manufacturing
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- Validation of system performance, - highlighting weakness and suggesting possible improvement
Validation of Metrology Based Systems for Quality control in Manufacturing
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- Validation of system performance, - highlighting weakness and suggesting possible improvement
Characterization of active and passive sensors in a metrology lab
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- Validation of system performance, - highlighting weakness and suggesting possible improvement
Testing and optimization of Planning and Scheduling features for Manufacturing
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Complex machinery based on AI and robots with simplified control systems
Planning and Scheduling for improving automation in Manufacturing
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Complex machinery based on AI and robots with simplified control systems
Software Engineering process revision for AI applications in Manufacturing
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AI-based software suitable for manufacturing
Software Engineering process revision and validation of AI-based software solutions for manufacturing
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AI-based software suitable for manufacturing
AI-based software solution testing with automatic test case generation
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AI-based software for manufacturing where each application feature works as per the identified software requirements
Validation of AI models for time series forecasting and anomaly detection in manufacturing
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Optimized AI model for time series analysis and forecasting tailored on the specific industrial need
Monitoring and Optimization of AI-based application in the IoT – Edge continuum for Smart Manufacturing
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AI-based applications in the IoT-Edge continuum for smart manufacturing optimized
Monitoring & control of milling processes
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Within this service, the Greek Satellite will grant access to milling infrastructure, sensing technologies, data acquisition system and computational resources for the development and testing of AI-based monitoring and control solutions for chatter in milling