Take corporate training to the next level
Take a step forward: methodologies updated, skills emerging, technologies select, collective intelligence. For L&D teams, HR and anyone who invests in their people in a structured way
Where do you want to start from?
Team training
Interdisciplinary skills for changing work
We design training courses for companies that want update skills, review processes and integrate new technologies consciously, with targeted interventions: workshop operational, laboratori applications, routes blended, accompaniment design.
L’approccio è interdisciplinare e combina saperi diversi per affrontare problemi complessi.
We are working to expand our project offering in various areas.
Here are some example routes:
Linguistics for Corporate
Written, oral, and digital communication. From document clarity to managing complex conversations. Includes information literacy to evaluate sources and construct solid arguments.
Data Science and AI
Lettura dei dati, decisioni informate, integrazione dell’intelligenza artificiale nei processi di lavoro. Competenze per interpretare, visualizzare e usare i dati in modo strategico.
Neuroscience for Corporate
Attention, memory, cognitive load. Designing with an eye on how the mind works, applying cognitive neuroscience to training and organizational processes.
Choosing the right technologies
Platforms and tools
With FEM platforms, you have direct access to those who built them: you can request customizations, receive training for your team, and integrate specific features.
They start from research and are tested with schools and companies before reaching the market.
Technological orientation
FEM Safaris are guided orientation programs that lead to intentional technology choices and investments consistent with your strategy. They are divided into stages: needs analysis, experimentation with jointly defined parameters, and an operational plan with priorities and actions.
Understanding how to use AI in training
A guided journey that analyzes use cases, tests tools, and evaluates opportunities and limitations to understand where AI can truly be useful in learning processes.
Navigating training platforms and technologies
A process for comparing different solutions, understanding how they work, and evaluating potential integrations into your learning and development paths.
Methodological upskilling
Before training others, who trains you?
Those who work in corporate training know how rapidly methodologies and tools evolve, and the time to stay up-to-date is precious. Our research becomes a resource for achieving and maintaining high standards.
Learning Box
Short modules on design, facilitation, and evaluation. Structured for immediate implementation. Includes design thinking, game-based learning, and other active methodologies.
Learning Re-Design
Analysis of existing routes, identification of critical points, targeted redesign.
Positioning and awareness
Position your brand through search
Associate your name with quality scientific research: you have the opportunity to become a partner of a volume in the series Learning Papers, edita da Future Education Institute, che tratta i temi più rilevanti del panorama scientifico-culturale dell’apprendimento. È una scelta con cui entri in una network of professionals working on training and human capital, also participating in defining the theme or contributing as a co-signatory.
Scientific curation, production and distribution by FEM.
Discover the learning paper already published:
1. Reading on paper, reading on screen
Learning Papers, vol. 1/2025
3. See Digital
Learning Papers, vol. 3/2025
4. Navigare l’ecoansia
Learning Papers, vol. 4/2025
5. Neuroarchitecture
Learning Papers, vol. 5/2025
6. Being a parent in the digital age
Learning Papers, vol. 6/2025
Some companies that have already collaborated with us:
FAQ – Why work with FEM?
We are the first Edtech research center in Italy.
Since 2019, we've been designing courses, methods, and technologies for advanced learning. We've already trained over 70,000 professionals, including trainers and instructors.
Yes, because we design to measure. Format, duration, and modality depend on the organization's constraints.
Cognitive scientists, instructional designers, platform developers, AI and data experts. We bring in external specialists when necessary.
It depends on the complexity. A standard course requires a few weeks of planning; more complex courses require a more extensive initial analysis phase.
Indicators are defined at the beginning of the project. We use questionnaires, tests, platform analytics, and field observations.