Our challenge is to promote Research-Development and Innovation actions (RDI) and identify potential actors and appropriate partners to realize pertinent projects. RDIUP develops and exploits novel technologies (data analytics, IA, IoT and robotics) in order to create industrial proof of concepts and viable projects. Moreover, we contribute positively to increase the capacity building of our partners through consulting and training.
We propose RD&I services and develop tailored solutions to address customer or partner technological barriers.
RDIUP helps your institute or company to train and create a skilled team to carry out, define RDI activities and respond to your specific needs.
We accompany clients to develop a proof of concept for pertinent projects, propose a protocol of tests and assess the cost-effectiveness and return of investments (ROI).
We develop wearable and smart application based on data mining and advanced algorithms for medical staff in order to ensure prevention, personalized analysis, promote well-being and foster the e-health concept.
RDUIP is interested in electric and autonomous vehicles (cars, bikes, ship, drone …). We realize novel sensors based on data fusion and AI algorithms.
RDIUP proposes and exploits ideas for next-generation solutions (smart grid, RES, biofuel, …) related to energy efficiency and analyses data to optimize consumptions.
We are focused on the development of secure cloud-based platform (PaaS and SaaS) and user-friendly interfaces based on open frameworks (Django and Laravel). Also, we develop Tailored Quiz and interactive chatbob.
ML and clustering
We develop data analytics module for Cleaning, filtering, and elaboration of kno dwledge base. Behaviors prediction, Key performance indicators and making adequate decision by using ML are indispensable in Energy, health, and transport sectors .
RDIUP is specialized in the design and the development of mixed reality for various sectors (energy, building and transport). Digital Twin concept allows to improve the real world and share the knowledge and experiences between each agents.