A venture concept from Mehdi Alaoui, Ananda Arjun Sharma, Paola D’Incecco and Yassin Raklami (Team 11).
Try to picture the following scenario: a senior engineer in her 60s, bearing more than 40 years of on-the-job experience, shuts down her work laptop for the last time. The moment she walks out the door on her last day, together with a gift from her colleagues, she brings problem solving skills and deep institutional memory home with her.
What you just read perfectly exemplifies the “brain drain” crisis the European economy is silently facing; Italy alone is projected to need millions of new workers just to replace retirees by 2030 (Segreti, 2024). Actually, every single seasoned expert who is about to retire in the next future is taking invaluable, tacit knowledge with them. Concurrently, skills are becoming obsolete even more rapidly: 39% of them are estimated to be outdated only within the next 5 years (World Economic Forum, 2025). Such combination becomes an existential threat for knowledge-intensive sectors like healthcare or manufacturing; and rising training costs and economic pressures simply exacerbate the situation (Freifeld, 2024). Hence, the question is: how can organisations retain critical expertise while continuously up-skill their workforce in a scalable, yet cost-effective way?
Here is where TwinMind comes into play: a startup proposing a disruptive solution for a whole paradigm shift. TwinMind is designed as a Generative AI-powered platform to transform retiring experts into perpetual digital mentors. The concept is powerful: to systematically capture the tacit knowledge of senior employees through interviews and scenario walkthroughs. Such proprietary data is then used to build a dynamic, AI-powered “Digital Twin” of the expert. This twin doesn’t just store information; it actively engages newer employees in tailored and repeatable simulations of complex workplace situations, ranging from technical procedures to delicate leadership conversations.
The value proposition is clear: TwinMind offers scalable, personalised training to reduce the workload of human mentors, accelerate time-to-productivity, and, most importantly, safeguard companies’ tacit expertise. Its SaaS model makes all of this accessible, offering tiered subscriptions to enterprises where preserving critical expertise is a top priority.
Ultimately, TwinMind is not just a tool, nor does it just create an static database; it builds an ever-evolving legacy. And thanks to it, immortalising tacit corporate knowledge into a renewable digital asset is finally possible.
Explore our vision and experience TwinMind prototype for yourself here: [link].
Resources
Freifeld, E. B. L. (2024). 2024 training Industry report. TrainingMag. https://trainingmag.com/2024-training-industry-report/
Segreti, G. (2024). Italian firms bridge skills gap with own schooling. Reuters. https://www.reuters.com/markets/europe/italian-firms-bridge-skills-gap-with-own-schooling-2024-07-02/
World Economic Forum. (2025). The Future of Jobs Report 2025. https://www.weforum.org/publications/the-future-of-jobs-report-2025/digest/
