Industry & IoT: Dimensional and Quality Control Application in the Aerospace Sector
David Walter • 6 novembre 2025
Project Context
An aerospace group aimed to optimize the dimensional inspection time of its rocket fuel tanks.
Traditional methods were time-consuming and inefficient, slowing down production and increasing the risk of errors.
The goal was to develop a dimensional and quality control application integrating faster, more accurate measurement technologies.
Objectives
The main objective was to design and deploy an application installed on a central PC capable of:
- Launching various dimensional control programs,
- Integrating advanced measurement technologies (laser profilometers, laser trackers),
- Enhancing accuracy and repeatability in quality checks.
Project Duration
A multi-month engagement covering software design, system integration, testing, and team training.
Implementation
Agaetis adopted a collaborative and technically robust approach:
- Application Development: Software architecture tailored to industrial integration needs.
- Data Collection & Processing: Integration of measurements from CNC machines, laser trackers, and profilometers.
- Process Optimization: Automation of inspection routines to speed up execution and minimize human errors.
- Training & Handover: Knowledge transfer to internal teams to ensure operational continuity.
Results Achieved
- Reduced inspection time: Significant productivity gains.
- Increased precision: Reliable measurements through advanced technologies.
- Fewer errors: Faster, more consistent quality checks.
- Knowledge retention: Technical expertise preserved within the organization.
Key Success Factors
- Agaetis’ technical expertise in industrial development and IoT.
- Strong flexibility and collaboration with the client.
- Seamless integration of data from multiple equipment sources.
- A results-driven approach focused on measurable impact.
And You?
Are you looking to:
- Optimize your industrial inspection processes?
- Integrate cutting-edge measurement technologies?
- Digitalize your quality control applications?
👉 Contact our experts to modernize your industrial control systems and boost your operational performance.
Ressources Agaetis
Project Context Michelin aimed to develop a new generation of digital services based on data from connected tires. The goal was to deliver added value to truck fleet managers and maintenance centers worldwide. The challenge lay in the collection, processing, and supervision of massive sensor data, while ensuring robustness, scalability, and relevance of analytics. Objectives The main objective was to establish a technical and architectural framework to: Efficiently collect and process data from connected tires Monitor data flows and measure the impact of business use cases Create a Big Data platform ready to evolve with growing data volumes Mission Duration A long-term engagement , combining initial architectural study, implementation of monitoring systems, and ongoing support. Implementation Agaetis leveraged its Data and Cloud expertise to: Initial architecture study: Define technological and structural choices Platform monitoring: Implement monitoring principles to ensure robustness and availability Load analysis: Evaluate the impacts of various business use cases Big Data framework definition: Integrate best practices to accelerate implementation Data Science work: Perform domain-specific analysis and develop new indicators and services Results Achieved New digital services: Creation of innovative solutions for fleet managers Robust and scalable platform: A Big Data environment ready to handle massive data volumes Operational optimization: Improved traceability and KPI tracking Enhanced innovation: Data transformed into strategic levers for Michelin Key Success Factors Agaetis’ expertise in Big Data and IoT data processing End-to-end methodology: From architecture to Data Science Immersion in the client’s business environment Proactive supervision ensuring robustness and reliability And You? Are you wondering about: Leveraging data from your connected equipment ? Creating new digital services based on Data? Implementing a robust and scalable Big Data architecture ? 👉 Contact our experts to transform your IoT data into innovative, value-generating services.
Project Context France’s first research foundation dedicated to innovation in pain management aimed to launch a market-ready application resulting from its clinical research and development program. The goal was to transform the app into a Digital Therapeutic (DTx) reimbursed by the national health insurance system. Objectives The organization focuses on driving healthcare innovation through extensive collaborations with hospitals, research institutes, universities, and technology companies. The main challenges included: Transforming an application into a Digital Therapeutic (DTx) reimbursed by the national health system. Managing the transition of patients to this new platform. Preparing a new data warehouse to support scientific research. Mission Duration 3 collaborators over 3 years Methodology Agaetis provided its expertise through targeted and structured actions: Audit of existing systems: Evaluation of current infrastructure to identify needs and areas for improvement. Decision support for partner selection: Assistance in choosing competent and reliable technology partners. Technology advisory: Guidance on application architecture, security, and scalability to ensure long-term viability. Results Achieved Development of an application supporting patients in chronic pain management, progressing toward recognition as a reimbursable DTx. Rigorous technical assessment and selection of strategic partners. Adherence to roadmap milestones , ensuring steady progress and alignment with expectations. This project highlights how Agaetis leverages its technological and strategic expertise to transform challenges into innovative, effective solutions — creating tangible value for clients in the healthcare sector.
