Health & AI: Personalized Brain Modeling to Optimize Neurological Diagnosis
David Walter • 6 novembre 2025
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.
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.
