Bridge Events
Organization of events that make the bridge between academia and the industry, e.g., demonstrators, conferences/workshops, or summits.
DeliverablesEvents
AIDI · Industry
Services
Three engagement models focused on concrete outcomes for companies and consortia.
Industrial in-House Intensive Training Courses
AIDI's teams go to your company and give a 8x3h specialized course, with data-driven applications.
DeliverablesCourses
Consulting and Studies
Quantitative analysis, mathematical modelling, statistics, optimisation and solution assessment for concrete business problems.
DeliverablesReport
From Theory to Computational Frameworks
Implementation of computational frameworks based on recent and relevant mathematical results.
DeliverablesReport + framework
Advanced Code
Scientific and industrial software, machine-learning algorithms, APIs, automation, edge devices and robust computational components, with data security considered from the architecture stage.
DeliverablesReport + software
Public–private funded projects
Coordination and participation in collaborative project work packages, from technical definition through validation and demonstration.
DeliverablesReports, prototypes and/or products
AIDI works with companies through three main engagement models. Scope, schedule, intellectual property, confidentiality and data-security requirements are defined case by case and formalised according to the applicable University of Aveiro procedures.
1. Consulting and Studies
For challenges requiring analysis, diagnosis, modelling, evaluation of alternatives or quantitative decision support.
Typical capabilities: mathematical modelling, statistics, optimisation, data analysis, forecasting, performance evaluation and experimental design.
Primary deliverable: technical report.
2. Advanced Code
For challenges where the solution requires a computational implementation beyond a one-off analysis.
Typical capabilities: machine learning, scientific software, APIs, automation, control and data acquisition, data pipelines, optimisation algorithms, parallel computing, microservices, edge devices, computer vision and web prototypes.
Primary deliverables: technical report and software.
3. Public–private funded projects
Coordination or participation in work packages of collaborative R&D projects, including innovation agendas, national and European programmes and other consortium instruments.
Typical activities: requirements definition, R&D planning, experimental development, integration, demonstration, TRL assessment, technical dissemination and partner coordination.
Primary deliverables: reports, prototypes and/or products.
Technologies and methods
Applied mathematics, statistics, optimisation, machine learning, artificial intelligence, computer vision, time series, process analysis, IoT, industrial automation, sensors and edge devices, HPC, APIs, microservices, containers and systems integration.
Architectures are designed with data security, access control and exposure minimisation as cross-cutting concerns, particularly for sensitive industrial data and edge processing.