New product design and development is often a crucial factor in the survival of a company. In a global industrial landscape that is changing fast, firms must continually revise their design and range of products. AES experts are having decades of R&D experience and many new products have been designed and successfully positioned the product for the business growth.

Basic Research + Applied Research + Development Research = Innovative

AES R&D service is a core discipline within the product design process. Our highly skilled team of engineers integrate years of knowledge and expertise with the latest manufacturing techniques to deliver holistic and innovative solutions which help to the global customer to position their product of enhance the existing product to revamp the business.

Using the latest in-house facilities, we work in partnership with our customers to develop cost-effective design solutions from concept development to production with high volume. R&D is one of the core competency of AES and our expert’s are having diverse application, technology market and end user needs and volume to make business viable in terms of profitability.

We have broad experience managing R&D projects in large consortium and dealing with institutions and public funding (Horizon 2020, CDTI,…). Together with our partners, we provide consultancy services for the successful proposal preparation, submittal and follow up of the projects.

AES scope of research activities includes

  • Market research
  • Requirements capture with customer
  • Styling and product definitions
  • Styling and Engineering feasibility
  • Material selection and modeling
  • New technology through implementation
  • Product life cycle and business viability
  • Significant performance variables and KPIs definition
  • Scientific and engineering literature reviews
  • Support in partner search and consortium definition
  • Preparation of proposal for public funding
  • Modelling design and simulations
  • Prototype development and testing
  • Design support through modelling, simulation and algorithm development.
  • We employ Design-of–Experiment (DoE) methodologies to identify the significant variable on performance.
  • Validation and handover for production
  • Support in Intellectual Property Management (Patents, foreground and background definition