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Idener

Research Organisation (RES)

idener.aiSevilla, Spain
17 profile visits

About

Idener was started in 2010 by a group of recent PhD graduates with a strong theoretical background in control and systems engineering. Soon, they got fascinated with the early advancements in machine learning, which they incorporated into their research – the seed of the company was already planted. Nowadays, we are a team of engineers, scientists, and software developers exploring AI's potential for solving challenging science and engineering problems. To do so, we use an extended interpretation of AI that fuses machine learning, systems modelling, advanced control, and mathematical optimization. We aim to create new, better, sustainable technologies and business models that ultimately contribute to human development. Our focus is to exploit the potential of AI beyond the software industry, where it still has massive untapped opportunities to create vast amounts of value. Learning from the challenges of our partners, we are developing applications as diverse as green chemical process optimization, improved design of materials, microbial platforms enhancement, child abuse prosecution and environmental regeneration – and yet, we have just scraped the surface of a whole new world of possibilities. It is hard to think of any industry that AI is unlikely to touch in a significant way now or in the near future. So far, we have already developed successful projects across industries, including energy, manufacturing, logistics, chemical processing, biotech, agrifood, and cybersecurity. There, our approach to AI provides real impact as competitive advantage, increased revenues, cost-savings, reduced time-to-market, and business process efficiency.

KEY THEMATIC AREAS

Sustainable advanced materials, raw materials and chemicalsFast-tracking circularity in manufacturing, advanced materials and process industryClean technologies, including carbon capture and usageInnovative Advanced Materials-based Technologies

TYPE OF RESEARCH AND BUSINESS ACTIVITIES

Fundamental researchApplied research, product/process development and demonstrationProductionBusiness-2-Business servicesBusiness models and exploitation strategiesDissemination and Communication

HORIZON EUROPE PARTNERSHIPS

Made in EuropeProcesses4Planet

CROSS-CUTTING ISSUES

International CooperationResponsible Research and InnovationSocial Sciences and Humanities

Representatives

Team Manager & Project Coordinator

Idener

Project Coordinator

Idener

Project Manager in the Energy & Industry 5.0 Division

Idener

Senior Researcher

Idener

Research Engineer | AI Applications for Energy & Industry | IDENER

Idener

Project Coordinator/Manager

Idener

Researcher

Idener

Marketplace (2)

  • Expertise

    HORIZON-CL4-2026-01-MATERIALS-PRODUCTION-31: Efficient capture / purification / utilisation of CO2 for the production of competitive products (RIA)

    Optimising CCUS through smart process integration, digital twins, advanced modelling and life-cycle sustainability in Europe's industry.

    • Process Industries
    • Knowledge valorisation
    • Advanced materials and chemicals
    • Arificial Intelligence and Data
    • Modelling, simulations and digitally aided design
    Author

    Project Coordinator at Idener

    Seville, Spain

  • Project cooperation

    AI experts for manufacturing

    We offer AI expertise to optimise industrial processes in terms of energy and time, especially focusing on the transition to circularity

    • Multiple topics
    • Partner seeks Consortium
    • Cluster 4 2026 Call - INDUSTRY
    • Ideation - identifying the project idea
    • Cluster 4 2026 Call - INDUSTRY two-stage
    • General cooperation - beyond 2026 Industry calls
    • General cooperation - beyond 2026 Industry calls
    • CL4 | MAT-PROD-01: Advanced manufacturing for key products (IA)
    • CL4 | MAT-PROD-05: Circular innovative advanced materials: facilitating the transition from design to markets (RIA)
    • CL4-two-stage | DIGITAL-EMERGING-51: AI improved advanced manufacturing and production processes in factories (RIA)
    • CL4-two-stage | DIGITAL-EMERGING-53-two-stage: Innovative AI methods and technologies for the process industries (RIA)
    Author

    Project Manager in the Energy & Industry 5.0 Division at Idener

    Seville, Spain