Polish start-ups have the talent to go global, but can they scale up? [AUDIO REPORT]

Poland has the engineering talent, technological expertise and entrepreneurial ambition to compete on the global stage, yet turning innovative ideas into successful international businesses remains a challenge.

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Image by Gerd Altmann from Pixabay

Figures suggest that Poland's start-up ambitions are backed by a substantial and growing technology ecosystem. Its value was estimated at nearly EUR 60 billion last year, making it the largest in Central and Eastern Europe, according to a report drawn up for the state-run Polish Development Fund (PFR).

"Poland has incredibly skilled engineers and software developers, so I think we're absolutely ready to compete globally," said Aleksandra Łoś, co-founder of Relayn, a platform designed to protect people from the flood of AI-driven communication.

"Fortunately, younger generations are increasingly asking themselves: Why not go to San Francisco and get into Y Combinator?" she added. "More and more young people from Poland are achieving goals that once seemed unimaginable."

I believe one of AI’s most important roles will be reducing human error where mistakes have serious consequences. Not replacing humans. Helping us make fewer consequential mistakes. In a hospital, someone can miss a drug interaction. In critical infrastructure, someone can follow the wrong procedure, miss a dependency or make a decision without having all the relevant context. Humans make mistakes. Not because we’re incompetent, but because the systems we operate have become extraordinarily complex. AI gives us something we’ve never had before: the ability to continuously process enormous amounts of information and surface what a human might miss. But there is a paradox. If we use probabilistic AI to reduce human error, we can introduce an entirely new source of error: the AI itself. That’s the problem we are solving at Relayn. Use AI where intelligence, interpretation and context can help humans make better decisions. But when an action has to follow an exact rule, make sure that rule cannot simply be reasoned away by a model. Use AI to reduce human error without replacing it with AI error.

— Aleksandra Los (@AleksLos2) August 26, 2026

Michał Owczarek has the story.

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