Data & UX: Co-design of an innovative anti-doping solution
David Walter • 6 novembre 2025
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?
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.
