Warsaw has the funding volume. Prague has the ecosystem value. Budapest has something else, and it might matter more than either.
Ask anyone to name Central and Eastern Europe's AI capital and Warsaw or Prague will probably come up first. Poland has the region's strongest AI startup activity and funding numbers, while Prague accounts for the vast majority of Czechia's startup ecosystem value. Budapest rarely comes up first.
That's starting to look like an outdated assumption.
Start with the money. Hungary raised roughly €100 million in venture capital in the first two months of 2026 alone, and more than half of it went into deep tech, not consumer apps, not marketplaces, but the harder, more capital-intensive categories that tend to signal a maturing ecosystem rather than a speculative one. That's a small number by Warsaw's standards, but it's a fast one: it's the kind of quarterly pace that, annualised, would represent a meaningful jump for a country whose entire 2024 startup funding total was closer to €54 million.
The capital is chasing something real. Allonic, a Budapest robotics manufacturing startup, closed a $7.2 million pre-seed round - the largest pre-seed in Hungary's history, with angel investors connected to OpenAI and Hugging Face alongside regional VCs. SEON Technologies, a fraud-prevention platform that uses machine learning to flag suspicious transactions in real time, raised $80 million in 2025 and has become one of the region's more credible fintech-AI scaleups. Turbine, a computational biology company using AI to simulate biological systems and accelerate drug discovery, raised a $25 million Series B in February 2026, led by Interactive Venture Partners with participation from existing investors including Accel. aiMotive, an older but still-active player, has spent years building AI-powered technology for autonomous vehicles. Add fraud detection, drug discovery and generative video via companies such as SEON, Turbine and Hungarian-founded Colossyan, and the pattern becomes harder to ignore. These companies span very different applications, but share roots in Budapest’s wider tech ecosystem. That points to genuine sectoral depth rather than a single lucky unicorn distorting the picture.
Government policy is leaning the same direction. Hungary adopted a Renewed National AI Strategy for 2025-2030 in September 2025, with a focus on AI infrastructure, skills, business adoption and R&D, including a target of creating one million higher-value, AI-supported jobs by 2030. Whether that target is realistic is a separate question, Hungary's original 2020 AI strategy was criticised by researchers for fragmented implementation and limited transparency around funding, but the renewed strategy, combined with a 9% corporate tax rate, the lowest in the EU, and more favourable rules for employee equity in qualifying startups, suggests that the country's policy direction is becoming increasingly supportive of tech investment and scaling.
Here's where the enthusiasm needs a check. Startup Genome's latest data puts Budapest's AI-Native Ecosystem Value, the value created by startups where AI is core to the product, at $144 million, compared with a regional average of $1.1 billion. That's more than seven times lower than the CEE average. Budapest is currently classified as an “Emerging Ecosystem” in the #81-90 global band: respectable progress, but nowhere near the scale normally associated with a regional “capital.”
The comparison with its CEE peers is instructive rather than damning. Poland remains the region's clear leader on raw funding activity: in Q2 2026 it topped the region on both deal count (44 rounds) and total capital raised (€140M) - the only CEE market to lead on both measures - with AI ranking among the region's most active sectors that quarter. Prague tells a different story again. Its ecosystem value is estimated at €19.2 billion, representing roughly 83% of Czechia's national total, while AI accounts for nearly a third of Czech venture funding. Budapest isn't overtaking these ecosystems; it's closing a gap from a lower base, in a race where the leaders are still moving forward.
And the scaling problem remains. Startup Genome puts Budapest's total VC funding at $939 million for 2021-2025, compared with a $4.1 billion regional average. Its median Series A round is $3.9 million, versus $6.5 million across the region. The message is clear: Budapest has the talent, early-stage activity and increasingly visible AI companies, but it has not yet built the depth of capital, scaleups and exits needed to credibly claim the title of CEE's AI capital.
Not yet. Budapest doesn't have CEE's largest AI ecosystem or deepest funding pool, and it has yet to match the international scale and visibility of the region's leading tech hubs. What Budapest does have is genuinely interesting: a growing base of AI companies across multiple sectors, a renewed national AI strategy, a competitive tax regime and a strong pipeline of technical talent. The pieces are increasingly there, but they haven't yet translated into the scale that would justify calling Budapest CEE's AI capital.
Getting from “interesting” to “capital” would require a few things: more late-stage capital that allows founders to scale internationally without immediately looking abroad; more exits that prove Budapest can produce companies of global scale; stronger retention of the AI talent its universities and research base produce; and deeper connections to international VC and corporate networks. None of these are unique problems. They're the same gaps CEE's emerging ecosystems are working to close.
And that points to a bigger question than the one we started with. Whether Budapest becomes CEE's AI capital may ultimately matter less than whether CEE can build a genuine AI powerhouse at all, one with the scale, capital depth and international pull to compete globally, rather than several promising cities solving the same problems in isolation.
Budapest's momentum is real. Whether it becomes decisive is still an open question, and one worth watching.
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