Tutorial
AI Innovators: Pioneering Your Path from Research to Startup Success
AI Innovators: Pioneering Your Path from Research to Startup Success
The tutorial organised by the European Innovation Council, aims to empower young researchers in artificial intelligence with the entrepreneurial mindset and practical skills needed to bring their innovative research to the market. By exploring various commercialisation pathways, participants will learn to identify and validate the most promising routes for their AI innovations. The tutorial emphasises the importance of early-stage market validation and proof of concept design, providing insights into the frameworks used by top institutions. Additionally, it highlights the critical role of institutional ecosystems and technology transfer offices in supporting the transition from academia to industry. Through case studies and practical examples, young researchers will gain a comprehensive understanding of how to navigate these environments effectively. Ultimately, the tutorial equips participants with the knowledge and tools to structure their spin-outs, form successful startups, and drive their AI research towards impactful commercial success.
The target audience for the tutorial is PhD student or early postdocs.
Participation to the tutorial in open to registered participants only. A maximum of 25 participants will be allowed. Selection criteria will look for diversity and balance between genders and countries. Some places will be prioritised for young researchers evolving within EU-funded projects (40%).
To apply please fill in your details in this form: https://forms.office.com/e/GEpDgfvkYF
This tutorial is crucial for young researchers as it equips them with the entrepreneurial mindset and practical skills to transform their AI research into successful startups. This is particularly important in today's rapidly evolving technological landscape, where AI is a key driver of innovation and economic growth.
Understanding the commercialisation pathways and the journey from research to market is essential for young researchers. This tutorial provides them with the tools to navigate these pathways effectively, ensuring their innovations can make a real-world impact. By focusing on early-stage market validation, proof of concept design, and the role of institutional ecosystems, the tutorial helps researchers build a strong foundation for their startups.
This initiative aligns perfectly with the European Union's vision to establish Europe as a global AI development and application leader. The EU AI Champions Initiative aims to mobilise talent and capital, accelerate AI adoption, and increase the competitiveness of European companies. By fostering an entrepreneurial mindset among young researchers, this tutorial supports the EU's goal of creating a robust AI ecosystem to drive economic progress and strategic autonomy.
Ultimately, the tutorial empowers young researchers to bring their AI innovations to market and contributes to the broader objective of positioning Europe at the forefront of the global AI landscape. This synergy between individual entrepreneurial success and collective European leadership in AI underscores the importance of such educational initiatives.
The tutorial will span half-day. A provisional programme for the activities is provided below.
Welcome and Introduction
Introduction
Scope of the session
Learning outcomes
Commercialisation Pathways
Researchers often begin their work within institutions, and their first challenge is to identify and validate potential commercialisation pathways. While the majority of researchers spin out using a company, there are a few other options that could potentially align better. If we were to look at the cycle, we would need to start here at the Pathways.
Overview of 3 typical pathways (Licensing, collaboration / partnership, spinout (startup))
3 Case Studies discussion.
Other options outside the main pathways.
Exercise for the group
The group will be given 5 scenarios of different researchers within different areas from AI to quantum to engineering.
The group will be asked to vote on most obvious commercialisation pathway.
Audience to provide some opinions on why such pathways will be suitable.
Commercialisation journey step by step
This session would focus on the different validation elements researchers need to consider, theoretically or practically. We would cover proof of concept design, early-stage market validation, while still within a research institution, and the frameworks used by top universities—Cambridge Enterprise is a strong example.
Translation of research to problem solving solutions
Overview of how the journey could look
Early market validation
Testing the Market
Developing the Proof of Concept
Type of funding to undertake the Journey
Break
Navigating Institutional Ecosystems
Since most early-stage researchers operate within university environments, they must understand how to work with technology transfer offices and industry partners. This session could include case studies from institutions like Leuven University and examples from the UK, showcasing how researchers transition from academia to commercialisation.
Key stakeholders (TTOs, KEMs, Universities, Industry)
Roles on the journey we introduced above
What is the typical process for institutional approvals?
What are they critical elements researchers should be prepared to address?
3 case studies – showcasing the various scenarios and roles researchers can take in spinouts
From Research to Business
The final component should focus on what happens after the research has been validated within an institution and there is a decision to spin it out as a business. We'd cover the fundamentals of forming a company, assembling an early-stage team, business models, and fundraising for a spinout.
What happens when a spinout is incorporated?
What are the typical phases early-stage companies will undertake to survive?
Year 1 – Year 5 a typical journey and how the team, product and focus changes in a spinout
How spinouts get funded and options in Europe?
3 case studies
Q&A & Reviewing Learning Outcomes
Flavia Richardson, founder of Acclivity Ventures, is innovatively equipping Central and Eastern European early-stage founders with essential knowledge through on-demand workshops. Before Acclivity Ventures, she drove market strategy and launched £20m of debt products as the Chief Commercial Officer at Velocity Juice. Her decade-long venture capital journey spans P&O investment arm, London Co-Investment Fund, and Beacon Capital, managing over 150 top tech portfolio companies. At Silicon Valley Bank, Flavia grew portfolios by over 200 companies and £400m capital as Vice-President in the Early Stage Practice. She also originated venture debt deals. As an Expert Evaluator at the European Commission, she appraised innovative companies funded by SME Instruments and Horizon 2020 programmes. She is now an Expert Coach and Jury member for the EIC Accelerator. Additionally, Flavia imparts her expertise as a mentor for several organisations, including London and Partners, 360 Capital, and SVG Ventures, nurturing the future of tech innovation.
Hedi Karray is the Programme Manager for Artificial Intelligence at the European Innovation Council (EIC). With over fifteen years of experience in applied informatics, Hedi specialises in semantic AI and ontology-based engineering. He holds a Ph.D. in applied informatics and a Master's in Entrepreneurship and Innovation Management. Before joining the EIC, Hedi was a Full Professor at the University of Technology of Tarbes, leading research in Industry 4.0 and AI-driven decision support systems. He has published over 80 papers and has been actively involved in the professional community, including serving as the president of the French chapter of the IEEE Systems, Man, and Cybernetics Society. Hedi's work continues to influence the future of AI in Europe and globally.