Ewelina Kurtys

I began in science.

I studied pharmacy and biotechnology in Poland, then worked on research projects across pharmacology, microbiology, and neuroscience in Poland, Belgium, and Italy. Those years gave me a broad view of how biology works—from molecules to the brain.

Eventually I chose neuroscience as my main path and moved to Groningen, the Netherlands, for a PhD focused on brain imaging. I became particularly interested in how complex systems can be understood through data, patterns, and measurement. That interest later took me to London, where I continued in brain imaging research at King’s College London.

At some point, I realised I was equally interested in what happens after discovery: how useful ideas leave the lab and become products, tools, or companies. So I left academia and moved into industry.

My first commercial role was in medical imaging for drug development. There I worked at the intersection of science, technology, and business. I learned business development, project management, client needs, sales processes, and how advanced technical services are sold and delivered in the real world.

Medical imaging also exposed me to the practical use of Artificial Intelligence. AI was already being used to improve imaging analysis, automate workflows, and extract value from complex datasets. That experience expanded my interests beyond imaging into a broader world of software, automation, and emerging technologies.

To learn faster, I started my own company, Ekai.io, focused on commercialization, growth strategy, marketing, partnerships, and business development for technical products. Working across different sectors taught me how similar many business problems are beneath the surface: growth, positioning, trust, timing, execution, and clear communication.

Industry also taught me something academia rarely emphasizes enough: technical ability matters, but psychology matters too. Confidence, resilience, communication, decision-making under uncertainty, and the ability to manage stress often determine whether good ideas succeed.

Today my work sits at the intersection of science, AI, and commercialization.

I work with frontier technology companies in areas such as AI, AI agents, deep-tech, biocomputing, wetware computing, organoid intelligence, neuromorphic computing, bio-inspired systems, and research-driven innovation.

I have been involved in business development, strategic partnerships, investor conversations, growth strategy, fundraising support, client acquisition, founder positioning, hiring, go-to-market thinking, and cross-functional R&D discussions.

One of the most interesting areas I work in is biocomputing: the idea that living neurons may be used as computational systems. It combines neuroscience, signal processing, engineering, and the future of computing.

I also developed working knowledge of Python, data analysis, and signal processing, which helps me collaborate effectively with engineering and research teams.

I also built Psync, a mental wellness venture designed to bring practical psychology tools into everyday life. It grew from my long-standing interest in psychology, behaviour, and technology that improves human performance.

Across all of these projects, the common theme is the same: translating complex knowledge into practical value.

I remain curious about how new technologies reshape business, how biology may influence the future of computing, and how people can adapt to rapid change.

If you are building something ambitious at the edge of science and technology, feel free to get in touch.