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.

Context The topic of artificial intelligence is a major issue for an insurance and digital services group. The 2024 edition of a trade fair dedicated to local authorities, sponsored by the company, will focus on AI serving humanity . The company’s clients are already asking about its positioning regarding AI, and it aims to demonstrate its concrete commitment to this path. Proposal Support in developing an AI strategy and translating it into a 2- to 3-year roadmap , including the implementation of three proof-of-concept (POC) projects. Conclusion The POCs aim to demonstrate the practical capabilities of AI to improve support services, provide regulatory assistance, and facilitate multilingual communication. By assisting the company in defining and implementing its AI strategy, these POCs will showcase its commitment to innovation and continuous improvement of its services. 1. POC #1: Omnichannel Orchestrator for User Support Objective: Reduce employee workload and improve service quality. Solution: An omnichannel orchestrator that routes user requests to the best resolution channel. Technology Partner: A conversational orchestration solution provider. Timeline: 4 to 6 weeks. Budget: 12 to 15 joint workdays. Stakeholders: Support manager, customer relations expert, partner technical expert. 2. POC #2: AI Assistant for Urban Planning Objective: Provide additional regulatory assistance to municipal services. Solution: A chatbot based on a multi-source knowledge base, answering urban planning questions. Technology Partner: A specialized AI integrator. Timeline: 4 weeks. Budget: To be defined with partners. Stakeholders: Urban planning managers, AI experts, data scientists.  3. POC #3: Multilingual Chatbot for Local Authorities Objective: Facilitate communication between citizens and local administrations in multiple languages. Solution: A chatbot powered by public information from a website and other sources, supporting 3 to 4 languages. Technology Partner: A specialized AI integrator. Timeline: 4 weeks. Budget: To be defined with partners. Stakeholders: Web and business managers, AI experts, data scientists.

Adoptez Kubernetes pour transformer votre stratégie applicative. Guide complet sur l'orchestration de conteneurs : gagnez en scalabilité, résilience et automatisez vos déploiements avec K8s.

Project Context Platform Garden, an international startup, wanted to leverage its data to create value and strengthen its innovation strategy. The main challenge was to use data visualization and identify how existing and future data could open new growth opportunities. Objectives Platform Garden’s primary goals were to: Analyze and enrich its dataset on plants and shrubs Leverage this data to develop new services and features Integrate these data assets efficiently into existing systems while optimizing technological and financial costs Mission Duration A multi-phase project, from ideation to the development of new functionalities, with continuous support alongside Platform Garden’s teams. Implementation Agaetis deployed a progressive and collaborative approach : Ideation and scoping phase: Workshops to define and prioritize Platform Garden’s needs Research and data source analysis: Exploration of existing datasets and evaluation of their relevance for integration within the startup’s ecosystem Feature development: Design of innovative services, such as predictive algorithms, to fully exploit the value of collected data Results Achieved The mission led to: Enhanced data repository: A richer database enabling new discoveries and use cases Value creation and new services: Development of unique features such as Jardi’Alerte and the future Végéscore, providing a competitive edge Continuous innovation: Implementation of an evolving process ensuring constant adaptation to technology and market needs Key Success Factors Agile and progressive approach by Agaetis Collaborative workshops aligning priorities and expectations Data and innovation expertise applied to a specific and emerging domain Ability to transform data into tangible and differentiating services for end customers  And You? Are you wondering about: Unlocking the value of your data to create new services? Integrating predictive features into your products? Building a data-driven innovation strategy tailored to your industry? 👉 Contact our experts to turn your data into powerful levers for growth and innovation.

Project Context A group of clinics was facing serious issues with its Data Warehouse: Critical data flows were either non-functional or prone to recurring errors Insufficient project governance led to delays and non-compliant deliverables This situation compromised the reliability of analytics and operational continuity in a context where data is essential for managing both medical and administrative activities. Objectives The main objective was to regain control of the Data environment by: Rapidly securing ongoing milestones Identifying and fixing major technical gaps Defining a clear and shared roadmap with internal teams Mission Duration An emergency intervention for immediate stabilization, followed by multi-month support with the implementation of a tailored governance framework. Implementation Agaetis deployed a structured methodology : Immediate technical diagnosis: Comprehensive assessment (Data Factory, Power BI) and remediation recommendations Recovery and stabilization: Quick resolution of urgent issues and securing of critical data flows Enhanced governance: Implementation of a project governance model promoting transparency and continuity Results Achieved Rapid stabilization: Drastic reduction of errors and restoration of operational continuity Long-term optimization: Validated roadmap with clear milestones for a controlled trajectory Restored reliability: Renewed confidence from business users in data exploitation Key Success Factors Efficient “firefighter mode” approach for immediate impact Transparent communication with client teams Agaetis’ Data/Cloud expertise , combining technical diagnostics and project governance Close collaboration with business teams to ensure ownership and adoption And You? Are you wondering about: Quickly stabilizing your Data environments? Securing your critical data flows? Establishing a clear roadmap aligned with your challenges? 👉 Contact our experts to transform your Data environments into reliable and high-performance assets.

Project Context In a context of digital transformation, our client — a global urban transport operator — wanted to strengthen the efficiency of its IT teams and reduce time-to-production. The largely manual processes still in place led to: High risk of errors Low productivity A time-to-market too long to stay competitive in a rapidly changing environment Objectives The main objective was to establish a DevOps culture and practices to: Automate critical processes and increase deployment reliability Reduce operational costs and time-to-production Improve collaboration between development and operations teams Mission Duration A multi-month engagement, conducted iteratively, with the progressive integration of new practices and transfer of knowledge to internal teams. Implementation To achieve these objectives, Agaetis implemented a structured approach: Process automation: Reduction of manual interventions through the implementation of scripts and dedicated tools, minimizing human errors. CI/CD (Continuous Integration & Delivery): Creation of automated pipelines to accelerate and secure application deployments. DevOps culture: Training sessions and change management support to foster collaboration between developers and operators. Security and monitoring: Integration of IAM tools and centralized alerts for threat detection and data protection (BYOK encryption at rest & in transit). Results Achieved Reduced time-to-market: Accelerated deployments thanks to automation and CI/CD pipelines. Cost optimization: Decrease in operational expenses related to manual interventions. Improved quality: Greater reliability of deliverables and fewer production errors. Enhanced collaboration: IT teams aligned around common goals, fostering a sustainable DevOps culture. Key Success Factors Agaetis’ DevOps expertise . Clear identity governance integrated with the client’s Active Directory. Advanced data security and proactive monitoring of environments. Human-focused support to establish a lasting DevOps culture. And You? Are you wondering about: Automating your IT processes to reduce deployment times? Integrating a DevOps culture within your teams? Implementing secure and efficient CI/CD pipelines ? 👉 Contact our experts to accelerate your projects while ensuring the reliability and security of your application environments.

Project Context A hospital center needed to modernize its Big Data infrastructure. Its Hadoop HDP environment was reaching end-of-support and showed technical limitations in both performance and security. The complexity of the hospital’s IT system — including electronic medical records, patient management systems, and telemedicine platforms — required a carefully managed migration, ensuring the continuity of patient care without disruption. Objectives The main goal was to ensure a smooth and secure transition to Cloudera Data Platform (CDP) in order to: Improve performance and security of critical systems Ensure compliance with healthcare regulations Reduce operating costs while modernizing the Data environment Mission Duration A multi-month project, structured around diagnostic, migration, and production phases, followed by post-migration support. Implementation To deliver this strategic migration successfully, Agaetis deployed a rigorous methodology: Audit and planning: Analysis of the existing HDP environment and identification of data to migrate Migration plan: Definition of required resources, timeline, and organization of key steps Execution: Transfer of data, metadata, workflows, and applications to CDP with optimized configuration Validation tests: Verification of data integrity and post-migration performance Optimization & production: Fine-tuning for maximum performance and user training on CDP’s new features Results Achieved Increased performance: Faster, more stable critical systems Enhanced security: Regulatory compliance ensured for managing sensitive medical data Cost reduction: 10% decrease in operating costs, representing annual savings of €100,000 on a €1M budget Continuity of care maintained: Migration completed with zero service interruption Key Success Factors Agaetis’ expertise in complex Big Data migrations Secure, phased approach tailored to sensitive hospital environments Transparent communication with the client’s IT teams Comprehensive training and knowledge transfer for end users  And You? Are you wondering about: Migrating your Big Data environments to CDP or other modern platforms? Optimizing your costs while strengthening data security? Ensuring service continuity during critical transformation projects? 👉 Contact our experts to achieve a seamless Data migration without compromising performance or security.

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 A foundation in the healthcare sector wanted to develop an innovative application to support patients suffering from chronic pain. The ambition was to transform this solution into a Digital Therapeutic (DTx) reimbursed by the national health system. However, the organization faced several challenges: Lack of structured technical leadership Need to select the right technological partners Necessity to ensure regulatory compliance and data security Objectives The main objective was to provide an outsourced CTO capable of: Optimizing technological processes to reduce inefficiencies Defining strategic and technological orientations Securing the product roadmap up to market launch Guaranteeing compliance with medical and regulatory requirements Mission Duration A long-term engagement acting as an external CTO, with regular milestones to align roadmap, architecture, and partnerships. Implementation Agaetis provided full technological leadership through: System audit: Evaluation of existing systems and identification of improvement opportunities Decision support: Selection of strategic technological partners Technical advisory: Structuring of the architecture, security, and scalability of the solution Testing & validation: Support in assessing and validating technologies to meet quality and regulatory standards Results Achieved Optimized technological processes: 15% reduction in identified inefficiencies Secured roadmap: Milestones achieved with aligned technical partners Increased confidence: Structured governance enabling the foundation to secure investments Certification readiness: Application well positioned to become a recognized, reimbursed DTx  Key Success Factors Expertise in technology strategy applied to digital health External CTO role combining strategic vision and operational support Compliance- and quality-focused approach tailored to healthcare Trust-based collaboration and close partnership with the foundation And You? Are you wondering about: The technological leadership of your health or e-health projects? Selecting the right partners for your innovations? Building a reliable and compliant product roadmap? 👉 Contact our experts to benefit from a CTO as a Service and secure your digital transformation projects.

Project Context A health-focused start-up wanted to develop an innovative platform for personalized brain modeling to improve the diagnosis and treatment of neurological disorders such as epilepsy and Alzheimer’s disease. The main challenge was to move from promising research prototypes to an industrializable solution capable of convincing both clinicians and investors, while complying with strict regulatory requirements. Objectives The objective was to secure and accelerate the industrialization of the platform by: Auditing and consolidating the existing code Identifying the core algorithms essential to system performance Defining a strategy for evolving toward a high-resolution version suitable for clinical use Mission Duration A multi-month engagement combining technical expertise, scientific audit, and strategic guidance. Implementation Agaetis implemented a comprehensive approach: Macro audit of existing code: Verification of industrialization standards and code robustness Cataloging key algorithms: Inventory and prioritization of models essential to the functioning of the Virtual Epileptic Patient (VEP) Research gap assessment: Identification of clinical requirements and scientific gaps to achieve industrial maturity AI risk assessment: Analysis of algorithms designed to enhance the quality of medical data through artificial intelligence Strategic support: Preparation of the technical and scientific roadmap to secure future funding Results Achieved Accelerated industrialization: Transition from research prototype to a platform closer to clinical application Secured investment: Clear vision of the milestones required for market readiness Scientific and technical valorization: Structured documentation of algorithms and applied standards Quantified impact: An estimated €500,000 in additional revenue thanks to an accelerated market release by six months Key Success Factors Agaetis’ expertise at the intersection of health, AI, and industrialization Methodology combining scientific analysis with technical rigor Ability to support start-ups in transitioning from research to market Close collaboration with clinicians and investors And You? Are you wondering about: Industrializing your research prototypes into clinical solutions? Leveraging AI and modeling to enhance your research? Accelerating your roadmap toward a validated, market-ready solution? 👉 Contact our experts to transform your research projects into health solutions ready for the market.