Le contexte du projet : Groupe Aérospatial souhaitait optimiser le temps de contrôle dimensionnel des réservoirs de son lanceur spatial. Les méthodes traditionnelles, longues et peu satisfaisantes, ralentissaient la production et augmentaient les risques d’erreurs. Le besoin était de développer une application de contrôle qualité et dimensionnel intégrant de nouveaux moyens de mesure plus rapides et précis. L’objectifs : L’objectif principal était de concevoir et déployer une application installée sur un PC concentrateur capable de : lancer différents programmes de contrôle dimensionnel, intégrer des technologies de mesure avancées (profilomètres lasers, trackers laser), et améliorer la précision et la répétabilité des contrôles. Durée de mission : Mission de plusieurs mois, de la conception logicielle à la formation des équipes, en passant par l’intégration et les tests. Mise en œuvre : Agaetis a déployé une approche technique et collaborative : Développement de l’application : architecture logicielle adaptée aux besoins d’intégration industrielle. Collecte et traitement des données : intégration des mesures issues des machines à commande numérique, trackers laser et profilomètres. Optimisation des processus : automatisation des contrôles pour gagner en rapidité et réduire les erreurs. Accompagnement & formation : transfert de compétences aux équipes internes pour assurer la continuité. Résultats obtenus : Temps de contrôle réduit : amélioration notable de la productivité. Précision accrue : fiabilisation des mesures grâce à l’intégration de nouvelles technologies. Réduction des erreurs : contrôles plus rapides et répétables. Compétences préservées : maintien de la connaissance technique dans l’organisation. Facteurs clés de succès : Expertise technique d’Agaetis en développement industriel et IoT . Grande flexibilité dans la collaboration avec le client. Intégration fluide des données issues de différents équipements. Approche orientée impact et résultats mesurables. Et vous ? Vous vous interrogez sur : l’optimisation de vos processus de contrôle industriel, l’intégration de nouvelles technologies de mesure, ou la digitalisation de vos applications qualité ? 👉 Contactez nos experts pour moderniser vos contrôles industriels et accroître votre performance opérationnelle.

Project Context A Lyon-based company specializing in energy performance management through cooling sought to strengthen its competitive advantage. Its dual objective was to: Reduce maintenance costs caused by unexpected machine failures Optimize energy consumption in its buildings while aiming for ISO certification to access subsidies Objectives The main goal was to develop a Machine Learning-based solution to: Anticipate and prevent critical equipment failures Reduce operational costs and extend equipment lifespan Optimize building energy consumption (based on occupancy, weather, and manual settings) Mission Duration A multi-month engagement including solution design, algorithm development, and knowledge transfer to internal teams. Implementation Agaetis implemented a Data & AI approach focused on business value: Diagnosis and scoping: Clarification of opportunities through the use of existing industrial data Predictive algorithm development: Design of advanced models to anticipate failures and detect anomalies Energy optimization: Creation of tools leveraging occupancy, weather, and manual control data to reduce energy consumption Knowledge transfer: Training and support for internal teams to ensure ownership and sustainability of AI models Results Achieved Reduced unexpected failures: 20% decrease in critical incidents Energy optimization: Significant reduction in energy costs through smarter resource management Extended equipment lifespan: Improved preventive maintenance and machine responsiveness Increased Data/AI maturity: Predictive algorithms integrated into operational processes Key Success Factors Agaetis’ expertise in Machine Learning applied to industry Combination of data science with the client’s business knowledge Implementation of training and skill transfer programs Pragmatic and results-oriented approach  And You? Are you wondering about: Using Machine Learning to reduce maintenance costs? Optimizing your energy consumption? Implementing anomaly detection solutions tailored to your industrial environment? 👉 Contact our experts to turn your data into levers for industrial and energy performance.

Project Context Doping represents a major threat to sporting fairness and public trust. As doping methods continuously evolve, traditional control systems were becoming insufficient. Our client, a leading organization in the fight against doping, wanted to co-design an innovative digital solution to enhance detection capabilities and optimize control strategies. Objectives The main objective was to develop a platform that integrates: Intelligent athlete monitoring (profiles, history, geolocation) Strategic planning of anti-doping controls Centralized communication between all stakeholders Project Duration The mission was carried out over several months using an agile methodology, including scoping, UX/UI prototyping, and progressive implementation. Implementation Agaetis leveraged its Data & UX expertise to deliver the following: Business immersion: In-depth understanding of the specific challenges and constraints of the anti-doping ecosystem UX/UI methodology: Co-design with end users to ensure adoption and usability Data Science work: Development of analytical models to detect anomalies and enhance the relevance of testing strategies Strategic planning: Implementation of decision-support tools to optimize control efficiency Automated reporting: Creation of personalized and automated dashboards via Power BI Results Achieved Optimized controls: Better resource allocation and reduced operational costs Intelligent monitoring: Enhanced traceability and a comprehensive view of athletes and testing campaigns Streamlined communication: Centralized exchanges between all stakeholders Recognized innovation: The solution is considered a major step forward in the fight against doping Key Success Factors User-centered approach (UX/UI) to maximize adoption Strong Data & Analytics expertise applied to sports challenges Close collaboration with stakeholders for a pragmatic and effective solution End-to-end capability provided by Agaetis And You? Are you wondering about: Using data to strengthen your control systems? Implementing an innovative and collaborative digital solution? Optimizing your processes through Data Science and UX?