Hungary’s deep tech momentum
Hungary’s deep tech moment is no longer just a promise hidden inside university labs. It is becoming a visible part of the country’s startup ecosystem, representing roughly 10% of local startups. That share is still modest, but it points to a deeper shift: more science- and technology-driven founders are beginning to see entrepreneurship as a serious path, not only as an academic or research outcome.
At Startup Hungary, we see this as one of the most important turning points for the ecosystem. Deep tech is smaller in volume than software-as-a-service (SAAS) or marketplace startups, but it is disproportionate in strategic importance. It is where Hungary has a chance to build companies rooted in defensible technology, scientific knowledge and global industrial relevance.
Much of the current momentum is being pushed forward by the rise of Novel AI, which has become the largest deep tech segment compared with last year. Hungary’s strengths are especially clear in advanced software and AI, sensor technologies, robotics and biotech spinouts. These are areas where the country’s academic and research base gives founders a genuine technical foundation to build from.
The raw ingredients are there: world-class STEM education, Nobel Prize-winning research traditions and a growing concentration of science-based activity. Our research identified more than 128 deep tech projects and companies. But the majority are not yet following a venture-scale path. Many are pursuing IP commercialisation or licensing instead of building fast-growing, globally ambitious companies.
That gap shows up in outcomes. Hungary has produced standout deep tech success stories, most notably aiMotive and Turbine, which proved that globally relevant technology companies can be built from Hungarian talent. Chemaxon is another important reference point. But beyond these examples, exits such as Omixon and Scolvo have generally been smaller and earlier. The message is not that Hungary lacks talent. It is that the ecosystem has not yet made the venture-scale route easy enough.
One telling signal is founder commitment. Only 43% of surveyed deep tech founders are working on their projects full-time. That reflects a deeper cultural divide between academia and startups. Research environments often reward publication, caution and long timelines. Venture-backed startups demand urgency, commercial focus and all-in commitment. Hungary’s next challenge is to help more scientists and engineers cross that bridge.
Based on the rounds tracked, 2025 was a stronger year on paper than 2024, with roughly €120 million raised by Hungarian-linked startups. But that number also tells a familiar story: the market remained highly concentrated. SEON’s €67.7 million Series C accounted for more than half of the total funding in the country.
The early 2026 data is therefore especially relevant: Zocks.io’s €38.7 million Series B, TYTAN Technologies’ €30 million Series A, Turbine’s €18.8 million Series B, ABZ Innovation’s €7 million
seed and Allonic’s €5.1 million pre-seed suggest that capital is beginning to cluster around AI, robotics, biotech, drones and other deep-tech-adjacent categories. That is the bridge to Hungary’s deep tech moment: the question is no longer whether the country has technical talent, but whether enough capital can follow ambitious science- and technology-driven founders early enough to turn that talent into venture-scale outcomes.
The diversity picture must be named clearly. Around 26% of surveyed startups had women among the founders. Female-founded teams are especially active in education, health, sustainability and applied AI, appearing in education-focused startups at nearly three times the rate of male-only teams. These are not peripheral sectors. They are among the areas where deep technology can have the greatest social and commercial impact.
Companies such as Poliloop, Axem and Smobya show what is possible when women-led teams build around serious technology, scientific insight and global problems. They also show why Hungary cannot afford to treat diversity as a side conversation. If the country wants to become a deep tech hub, it needs more women not only participating in the ecosystem, but leading it.
Hungary’s deep tech future will not be built by talent alone. It will require specialised investors, stronger university spinout pathways, better commercialisation support, and more founders willing to move from research to company-building. It will also require a broader definition of who gets backed early, who gets trusted with capital, and who is seen as capable of building the next globally relevant company.
Hungary has the ingredients and deep tech can become an engine of the country’s growth, but only if we build an ecosystem ready to support the ambition.
This article was written in collaboration with Startup Hungary. For more information about their work visit Startup Hungary’s website.
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