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Project overview
This initiative focused on transforming academic research in AI and brain-computer interfaces into commercially viable value propositions. Acting as a strategic intermediary between university research teams and market stakeholders, I aligned technological capability with business relevance, enabling clearer pathways from laboratory innovation to scalable applications.
Rather than positioning technology as experimental advancement, the work reframed it as a solution ecosystem with defined user benefits, use cases and market potential.
Strategic objectives
The project aimed to accelerate commercialization readiness by:
☀︎ Mapping market opportunities across MedTech, AI and neurotechnology sectors
☀︎ Identifying Product-Market Fit potential for emerging academic innovations
☀︎ Translating technical research into business-oriented value propositions
☀︎ Defining application scenarios aligned with user and industry needs
☀︎ Supporting researchers in aligning R&D direction with commercial viability
☀︎ Reducing the gap between scientific development and investment language
Business impact
The initiative enabled:
☀︎ Clear positioning of academic technologies within competitive market landscapes
☀︎ Improved readiness for investor communication and funding acquisition
☀︎ Stronger alignment between R&D priorities and commercial potential
☀︎ Accelerated understanding of monetization pathways and stakeholder relevance
☀︎ More effective decision-making regarding go-to-market strategies
By reframing innovation through a business lens, the initiative increased the likelihood of research outcomes transitioning into scalable products, services or licensed technologies.
Strategic reflection
This project demonstrated that successful technology commercialization is driven not only by scientific excellence but by strategic positioning, market intelligence and narrative clarity.
The ability to convert raw technological potential into structured business logic including value chains, target segments and application ecosystems — proved critical in turning innovation into investable opportunity.
It reinforced the understanding that commercialization is not a post-innovation phase, but a parallel strategic process that must be embedded within research from its earliest stages to ensure relevance, scalability and market legitimacy.