For most navigation apps, the shortest or fastest route is the default choice. Romanian startup Defensive Pedal is taking a different approach: helping cyclists reach their destination using the safest route instead.

Among the startups showcased in the Techsylvania Startup Alley, Defensive Pedal has developed a navigation app that analyzes road infrastructure, traffic conditions, weather, and dozens of other variables to recommend routes that minimize cycling risk rather than travel time.

“We’re essentially building Google Maps for safe cycling,” said Victor Rotariu, founder of Defensive Pedal, during an interview with Startups&TheCity.

A risk algorithm built on European cycling data

At the core of Defensive Pedal is a proprietary risk-scoring algorithm developed using European cycling accident data and extensive rider feedback.

According to Rotariu, the first versions of the model were validated with input from over 2,400 cyclists, while the current algorithm evaluates approximately 80 different factors that influence cycling safety.

Most of these variables relate to infrastructure, including:

• road type;
• roundabouts;
• tunnels;
• parks;
• road curvature;
• traffic models;
• weather conditions.

Rather than relying solely on mapping data, the platform combines multiple public datasets with its own analytical model to generate a safety score for every road segment.

According to the team, routes generated by Defensive Pedal are currently 2.1 times safer than the default cycling routes in Romania. The claim is based on an internal validation in which the startup compared 10,149 routes generated by the Defensive Pedal algorithm with Google Maps routes between the same randomly selected origin and destination pairs across Romania. The safety assessment used the company’s proprietary risk model, which incorporates cyclist risk factors identified in official European research on the causes of cycling accidents. 

AI continuously improves route recommendations

Although the core risk model is deterministic, Defensive Pedal adds an AI layer that continuously refines its recommendations.

As cyclists use the app, they can report unsafe locations, while anonymous usage data helps the system understand whether riders follow the suggested routes or choose alternatives. This feedback loop enables the algorithm to identify potentially dangerous areas that may not be evident from public data alone.

“The AI helps us continuously improve the quality of the safety ratings,” Rotariu explained.

Already live in Romania

The Android version of Defensive Pedal has been available for about two weeks and currently covers the entire Romanian road network. The iOS version also launched last week.

The startup has intentionally kept marketing efforts limited during the initial rollout, focusing instead on validating the product and collecting user feedback.

Even so, the platform has already attracted a few hundred active users from word of mouth alone, while approximately 900 cyclists have signed up for early access and are expected to join.

Helping cities improve cycling infrastructure

The technology is designed not only for individual cyclists but also for urban planners.

Defensive Pedal is collaborating with the World Bank on cycling consultancy projects, using its risk algorithm to identify dangerous streets and intersections at a highly detailed level.

Rather than simply highlighting that one city is safer than another, the platform can pinpoint exactly where infrastructure improvements would have the greatest impact on cyclist safety.

Rotariu said the company can already calculate safety scores for individual cities and plans to publish a city ranking covering most Romanian and European cities in the near future.

Expanding across Europe

While Romania serves as the startup’s launch market, the ambition is significantly broader.

The team plans to expand across the European Union within this year. Since much of the required infrastructure and traffic data is publicly available, adapting the platform to new countries is technically straightforward, although each market requires local validation, cyclist feedback, and adjustments to national traffic regulations.

A mixed business model

Defensive Pedal plans to monetize the platform through several complementary revenue streams.

The navigation app will remain free for basic users, while premium features are planned under a subscription model. Beyond consumer subscriptions, the company also sees commercial value in aggregated cycling intelligence.

Anonymous mobility insights can help outdoor brands, bicycle retailers, and local authorities better understand where cyclists travel and how infrastructure influences riding behavior, while municipalities can use the data to prioritize investments that improve cycling safety.

As cycling continues to gain momentum across European cities, Defensive Pedal is betting that safer navigation—and better data—can become essential infrastructure for both riders and the organizations building more bike-friendly urban environments.

The post Defensive Pedal wants to make cycling safer with AI-powered navigation, starting from Romania appeared first on Startups&TheCity.

Artificial intelligence dominated the agenda at the fifth edition of UNCHAIN Festival, which brought together more than 1,000 financial and technology leaders from over 40 countries in Oradea. Across two days, 170 international speakers debated topics ranging from agentic AI and digital identity to stablecoins, the Digital Euro, fraud prevention, and the future of banking.

But after speaking with executives from Visa, Finshape, Creatio, Tremend, AMICredit, and disruptive strategy training & consultant Andrew Taylor, along with other companies building financial technology across Central and Eastern Europe, one thing became clear: the most interesting conversations were no longer about AI itself.

No one questioned whether artificial intelligence would reshape financial services. That debate appears to be over.

Instead, discussions focused on a different set of questions. How do banks integrate AI into decades-old core systems? How do they ensure compliance with increasingly complex regulations? How can organizations deploy AI without compromising trust, security, or customer experience? And perhaps most importantly, what happens to employees as intelligent agents begin taking over an increasing share of routine work?

Although each interview explored a different corner of the financial ecosystem—from payments and lending to insurance, CRM platforms and digital strategy—the same themes surfaced repeatedly. Together, they paint a picture of an industry moving beyond experimentation and into a far more demanding phase: implementation.

AI is no longer the question. Implementation is.

Perhaps the strongest common thread across all eleven interviews was how much the conversation around AI has matured.

Only a year or two ago, discussions at financial conferences often revolved around whether banks should embrace generative AI at all. At UNCHAIN Festival 2026, that question had effectively disappeared. Executives no longer debated the technology’s potential. Instead, they discussed deployment models, governance frameworks, customer trust, integration with legacy infrastructure, and measurable business outcomes.

Catalin Cretu, General Manager of Visa for Romania, Bulgaria, Croatia and Slovenia, pointed to changing consumer behaviour as evidence that the market has already moved forward.

“More than 50% of online users now use AI tools to search for products and compare prices,” he explained.

For Visa, that behavioural shift is driving the development of what the company calls agentic commerce, AI-powered assistants capable of searching for products, comparing offers, and eventually completing purchases on behalf of consumers. Rather than replacing existing payment infrastructure, these AI agents rely on trusted payment networks to authenticate users, prevent fraud, and execute transactions securely. Pilot projects are already underway, with broader deployment expected over the coming year.

The discussion at Finshape reflected a similar shift, but from the perspective of traditional banking.

“Banks are no longer asking whether AI works,” said Dan Toderici, Country Manager Romania at Finshape. “They’re asking how to restructure their systems so AI can actually function.”

That distinction is significant. The competitive advantage is no longer simply adopting AI. It lies in building the organisational and technological foundations that allow AI to deliver value consistently and securely.

Anton Solodkyi, Customer Success Director at Creatio, observed the same evolution while working with banks deploying AI-driven CRM and loan origination solutions. The technical capabilities already exist, he explained. The challenge is integrating them into highly regulated environments without disrupting existing operations.

Taken together, these conversations suggest that the financial sector has entered a new phase of AI adoption. The technology itself is no longer the limiting factor. Success increasingly depends on execution—how institutions redesign processes, prepare data, train employees, and establish governance models that allow AI to operate safely at scale.

In other words, the competitive question has shifted from “Should we use AI?” to “Can our organisation actually support it?”. That challenge extends beyond technology. As Carlos Parker, Head of Arxia’s AI Acceleration Program, recently told Startups&TheCity, the future of AI inside companies may depend less on the models themselves and more on leadership, organizational culture, and change management. Through the AI Acceleration Program, Arxia focuses on helping organizations bridge exactly that gap—moving from AI experimentation to AI embedded in everyday business operations.

Legacy systems—not AI—have become the industry’s biggest bottleneck

If there was one challenge mentioned more often than any other during the interviews, it wasn’t artificial intelligence itself. It was everything that came before it.

For decades, banks and insurance companies have built technology stacks by adding new systems on top of existing ones. The result is a complex web of core banking platforms, customer databases, CRM systems and internal applications that were never designed to support AI-driven decision making.

Several interviewees described this legacy infrastructure as the single greatest obstacle to AI adoption.

Marius Scarlat, Head of Product Management CEE at Tremend, sees this challenge every day while helping banks modernize their digital services. Although AI has already been successfully deployed in projects such as customer onboarding and relationship management for major European financial institutions, including Lloyds Bank, implementation is rarely straightforward.

“Banking is one of the most regulated and traditional industries,” Scarlat explained. “Technology alone isn’t enough. You have to earn trust, understand existing processes and modernize them carefully.”

That gradual approach reflects the reality of enterprise banking. Replacing core systems is rarely an option, so most institutions are looking for ways to introduce AI without disrupting the infrastructure they already depend on.

Dan Toderici described a similar situation from Finshape’s perspective. Rather than replacing legacy platforms, the company builds a middleware layer that sits between existing banking systems and modern AI-powered applications. Its role is to organize, clean and contextualize fragmented customer data before it reaches AI models.

Without that intermediate layer, even the most advanced AI solutions struggle to produce reliable results.

Anton Solodkyi, Customer Success Director at Creatio, believes this explains why many AI initiatives fail to move beyond the proof-of-concept stage.

“Organizations often focus on the AI itself,” he said. “But the bigger challenge is understanding and documenting the business process you’re trying to automate. If the process isn’t clearly defined, an AI agent won’t fix it.”

His observation highlights a recurring misconception surrounding AI adoption. Automation doesn’t compensate for operational complexity—it amplifies it. Organizations with fragmented processes simply expose those weaknesses faster when AI enters the equation.

The same challenge extends beyond banking.

Sándor Székely, who develops embedded insurance solutions in Hungary, said that launching new AI-powered insurance products is rarely limited by the technology itself. Instead, the biggest delays occur inside insurance companies that must integrate new digital products into legacy policy administration systems built years—or even decades—ago.

The technology is ready.

The infrastructure often isn’t.

Across banking, insurance and enterprise software, the pattern was remarkably consistent: AI is exposing technical debt that many financial institutions have accumulated for years. Before organizations can become AI-first, they first need to modernize the digital foundations on which AI depends.

In the AI era, clean data has become a competitive advantage

Closely connected to legacy infrastructure is another theme that surfaced repeatedly throughout the interviews: data quality.

Every executive agreed that AI is only as good as the information it receives.

That may sound obvious, but in financial services it represents one of the industry’s biggest transformation challenges.

Banks typically operate dozens of disconnected systems built over many years. Customer information is scattered across different databases, product lines and business units, making it difficult to create the unified view that modern AI applications require.

“Banks are investing heavily in AI,” Dan Toderici explained, “but before AI can generate meaningful insights, the data has to be structured, cleaned and connected.”

Finshape addresses this challenge through a customer data platform that creates a unified customer profile across multiple banking systems. Once that foundation exists, AI can deliver personalized financial recommendations, targeted marketing campaigns and intelligent customer interactions.

One of the company’s flagship examples is its collaboration with Raiffeisen Bank Romania. What began as a digital loyalty application has evolved into an AI-powered personalization platform with more than one million active users. The system analyzes customer behavior and transaction history to deliver highly personalized offers inside the bank’s mobile application—demonstrating that AI creates value only after the underlying data has been properly organized.

Creatio faces similar challenges from the CRM side.

According to Anton Solodkyi, many organizations underestimate how much preparation is required before AI agents can automate business workflows.

“Structured information is the foundation,” he explained. “Without it, even the smartest AI agent has nothing reliable to work with.”

Tremend has reached the same conclusion internally. Beyond client projects, the company is increasingly using AI to accelerate software development and modernize legacy code through proprietary tools such as Backlog AI and Slingshot. Even there, however, human review remains essential to validate AI-generated outputs before they become production-ready.

Taken together, these conversations suggest that data has become the new competitive advantage in financial services.

The race is no longer about who has access to the latest language model. Those models are becoming widely available.

The real differentiator is who has built the cleanest data architecture—and therefore who can generate the most reliable, secure and context-aware AI experiences.

AI is changing work, not eliminating it

One of the clearest divergences between public perception and real-world deployment of AI in financial services is what actually happens inside organizations once automation is introduced.

The expectation is often substitution. The reality, across multiple interviews, is reconfiguration.

At AMICredit, the introduction of AI agents fundamentally changed how work is distributed inside the company—but not in the way many might expect. Rather than reducing headcount, the organization expanded.

Karoly Totos, CEO of AMICredit, described a system where AI handles repetitive, structured tasks such as onboarding and customer communication, while human employees shift toward higher-value operations.

“We’re hiring more people, not fewer,” he explained. “AI agents handle repetitive tasks, making the whole organization more productive.”

The impact is measurable. Onboarding workflows that previously consumed up to 40% of employee time have been largely automated. IT costs have been reduced by nearly half, while customer retention in AI-assisted flows has increased by 15–20%.

But the deeper change is not operational efficiency. It is the redefinition of what human work inside financial organizations actually is.

A similar shift is visible in broader discussions about the labor structure of financial services.

Visa’s perspective on agentic commerce highlights a future where AI systems increasingly handle discovery and comparison tasks on behalf of users. Andrew Taylor, who studies strategic disruption, frames this shift in broader terms: routine cognitive tasks are gradually moving toward machine execution, while humans transition toward supervision, validation, and system-level decision-making.

Across all interviews, a consistent pattern emerges: AI is not removing humans from the system—it is moving them up a layer in the decision hierarchy.

Human oversight remains a structural requirement, not a temporary phase

Despite rapid advances in automation, no interview suggested a future in which financial systems operate without human intervention.

Instead, a consistent governance model appears across banking, insurance, CRM systems, and payment infrastructure: AI proposes, humans decide.

At Creatio, this principle is embedded directly into CRM and workflow automation systems. AI agents assist in loan origination and customer service processes, but final decisions remain with human operators.

Anton Solodkyi described this as a design constraint rather than a limitation.

“AI generates recommendations, but humans make the final decision,” he said.

The reason is not technological weakness but regulatory and operational reality. In highly regulated industries such as banking, full autonomy introduces unacceptable levels of risk—both in terms of compliance and reputational exposure.

Tremend’s experience reinforces this view. Even in advanced implementations such as AI-driven onboarding and relationship management systems used by major European banks, human validation remains a core component of the workflow.

Visa’s experiments with AI-driven commerce also depend on human confirmation before transactions are executed, particularly in early deployment phases.

Across all cases, the same architectural principle appears: AI systems are being designed as decision-support layers, not decision-making authorities.

Regulation is no longer a barrier—it is a design constraint

If earlier phases of fintech innovation often framed regulation as friction, the interviews suggest a more mature relationship has emerged between AI systems and regulatory frameworks.

Rather than slowing adoption, regulation is increasingly shaping how AI systems are built from the ground up.

In insurance, compliance requirements were a central factor in deployment timelines. Sándor Székely noted that achieving regulatory approval for AI-driven insurance products required extensive validation processes, including data privacy assessments and alignment with national authorities.

Even when the underlying technology is ready, institutional approval cycles can extend implementation timelines to several months.

Similarly, Finshape’s work with banks across Central and Eastern Europe shows that GDPR compliance and data governance are no longer treated as external constraints but as embedded design parameters in system architecture.

Narcis Nagy highlighted a related dynamic: organizations are under pressure to demonstrate AI capability quickly, but must still align with strict European regulatory frameworks such as the EU AI Act.

This creates a structural tension between speed and compliance—but also a clear directional shift. Instead of resisting regulation, companies are increasingly designing systems that assume it from the start.

The result is a quieter but significant transformation: regulation is becoming part of the AI architecture itself.

The pressure to adopt AI is driven by competition, not strategy

While much of the discussion around AI adoption focuses on technological readiness, one of the more subtle insights from UNCHAIN 2026 is that the primary driver of adoption is not internal transformation agendas.

It is external pressure.

Organizations are not adopting AI because they have fully mapped out long-term strategies. They are adopting it because competitors already have.

Narcis Nagy, General Manager & Cofondator at RELOAD CONCEPT described this dynamic directly, noting that the pressure to implement AI often comes from the market rather than internal leadership teams.

“The pressure comes from competition,” he explained. “Not from within the company itself.”

This creates a paradox. Companies accelerate AI initiatives not necessarily because their systems are ready, but because standing still is no longer an option.

Andrew Taylor’s strategic framing adds another layer to this observation. In environments where technological change is accelerating, organizations increasingly shift from predictive planning to adaptive response. Strategy becomes less about forecasting outcomes and more about reacting to systemic shifts initiated elsewhere in the ecosystem.

Across both perspectives, the implication is clear: AI adoption is becoming less of a strategic choice and more of a competitive necessity.

Conclusion: finance is being rebuilt, not disrupted

Across the eight interviews spanning payments, banking infrastructure, insurance, CRM systems, and strategic consulting, a coherent picture emerges.

Financial services are not undergoing simple technological disruption. They are undergoing structural reconstruction.

Artificial intelligence is already embedded across multiple layers of the financial system. But its integration is constrained by legacy infrastructure, fragmented data, regulatory frameworks, and institutional trust.

As a result, the dominant model emerging across the industry is not autonomous AI-driven finance, but supervised intelligence operating within tightly governed systems.

Visa’s agentic commerce, AMICredit’s AI-driven onboarding, Finshape’s data infrastructure, Tremend’s enterprise deployments, and Creatio’s CRM agents all point toward the same reality: AI is becoming embedded, but not independent.

And perhaps the most important insight from UNCHAIN 2026 is this:

The defining challenge of the next phase of financial transformation is not building more capable AI systems.

It is building financial institutions capable of absorbing them.

Read also: Riding the AI Wave: Why the Real Challenge Is Not Technology, but Change, a related interview on how organizations can navigate the shift from AI experimentation to execution.

The post Beyond the AI Hype: What Fintech Leaders Revealed About the Future of Financial Services at UNCHAIN Festival 2026 appeared first on Startups&TheCity.

Techsylvania, Eastern Europe’s flagship technology and innovation conference, is accelerating toward its June 25–26 takeover of Cluj-Napoca with a powerhouse wave of speaker announcements. Each new name signals the same thing: 2026 isn’t just bigger, it’s a step-change.

Taking the stage this year:

• Hermann Hauser – Co-Founder & Venture Partner, Amadeus Capital Partners
• Hrvoje Ćosić – CEO, Aircash
• Guido Brinkel – Policy & Partnerships Lead Germany & CEE, OpenAI
• Jeanie Fang – Director of Data & AI, Crunchbase
• Sacha Dragic – Founder & CEO, Super Technologies
• Florian Steger – General Partner, betacluster Ventures
• Praveen Ghanta – Founder & CEO, Fraction
• Vladimir Danila – Founder & CEO,  Linearity
• Lian Boerma –  Chief Product Officer, EWOR
• Oana Ruxandra – Co-Founder & CEO, PopHatch

… and more high-impact voices dropping soon.

From deep tech and AI to fintech, venture scaling, and leadership in a machine-driven world, the 2026 lineup maps the full stack of global innovation, bringing together the operators, investors, and thinkers actively engineering what’s next.

Lock in your access

Techsylvania 2026 isn’t one to watch from the sidelines. Secure your place now while regular pricing is still live.

Use code TECH26 for 25% off Builder and Premium tickets (valid until June 18).

Get your ticket: techsylvania.com/tickets/

The first draft of the Techsylvania 2026 agenda is now available for preview at techsylvania.com/agenda/. We invite our community to explore the sessions and speakers shaping this year’s programme. 

Please note that the agenda is subject to change as we continue to finalise details.

Beyond the main stage

Techsylvania extends far beyond the conference floor. In 2026, Cluj-Napoca transforms into a distributed innovation network through its Satellite Events program.

Think curated meetups, product drops, investor sessions, brand activations, and late-night gatherings, spanning cafés, rooftops, and creative hubs across the city. It’s where real connections happen, ideas get stress-tested, and collaborations kick off organically.

Explore satellite events: techsylvania.com/satellite-events/attend/

Backed by ecosystem leaders like Super Technologies, UniCredit Bank, Google, Hexagon Offices, Oracle ACE Program, 3Pillar, Aily Labs, Principal33, BMW Techworks, DataEdge, M247Global and RunPod, Techsylvania is more than a conference, it’s a high-density convergence point for builders, backers, and visionaries.

If you’re shaping products, funding innovation, writing code, or tracking where tech is headed next, this is your ground zero.

Event Date: June 24-25 2026

Location: Cluj Innovation Park, Cluj-Napoca, Romania
Tickets: Get yours now at techsylvania.com/tickets/

The post OpenAI, Crunchbase and Amadeus Capital Executives Join Techsylvania 2026 appeared first on Startups&TheCity.

The historic Oradea Fortress in Romania is set to become the epicenter of European financial innovation on June 17–18, 2026, as it hosts the 5th anniversary edition of the UNCHAIN Festival. This high-level summit will bring together over 800 senior leaders and decision-makers from more than 40 countries, representing a unified front for the future of finance in Central and Eastern Europe (CEE).

A Distinguished Keynote and Global Participation

This year’s summit is headlined by Prof. Marek Belka, former Prime Minister and Finance Minister of Poland. A renowned economist with a career spanning the IMF and the European Parliament, Prof. Belka will provide critical insights at the intersection of economics and public policy.

He will be joined by an elite lineup of:

• Central Bank Governors from across the CEE region.
• Regulators from the European Commission and the European Banking Authority.
• Industry Giants and disruptors from Romania, Bulgaria, Hungary, and beyond.

Navigating the “Finance Fortress”

Moving beyond the “fintech” label, the 2026 edition adopts the theme of the “Finance Fortress,” focusing on regional resilience and the “EU Inc.” vision. The agenda is designed to tackle the most pressing challenges of the decade, including:

• The Digital Euro: Modernizing payments while preserving monetary sovereignty.
• AI Governance: Moving AI from a “blunt tool” to an internal efficiency engine in banking.
• Asset Tokenization: Leveraging DLT to enhance capital market efficiency.
• Cybersecurity: Ensuring operational resilience under the DORA framework.

Spotlight on Innovation

A dedicated segment of the festival will showcase the most dynamic ecosystems in the region, providing a platform for top disruptors from the CEE and Baltic countries. “UNCHAIN Festival was created for meaningful dialogue,” says Alexandra Pollack, Founder and CEO. “The 2026 edition marks a significant step in connecting ecosystems to accelerate innovation”.

The event will conclude by honoring excellence through the UNCHAIN Awards, recognizing the most outstanding innovators shaping the regional financial landscape.

Tickets are almost gone. Secure your spot now: unchainfestival.com/tickets.

The post CEE Finance Leaders to Gather in Oradea for Milestone 5th Edition of UNCHAIN Festival appeared first on Startups&TheCity.

AI is no longer a futuristic concept—it is a global tsunami hitting every industry from the United States to Chile, Uganda, and Romania. Yet, while executives rush to adopt AI just to keep up with the competition, the real battle is being fought on the old battlegrounds of digital transformation: people first, processes second, technology third.

This contrast between market rush and operational reality was the catalyst for a recent workshop I’ve attended, led by Carlos Parker, head of Arxia’s AI Acceleration Program, in Cluj-Napoca, Romania. Working with a local consultancy firm, the discussion proved that while AI models are evolving faster than ever, the real art lies in learning how to surf the wave rather than fighting it.

Carlos, who has delivered workshops across Europe, Latin America and Africa, says the conversation around AI has become universal. From Romania and Ukraine to Chile and Uganda, businesses everywhere are talking about artificial intelligence. Yet, according to him, the technological challenge itself is not the hardest part. 

“The real issue is not the technology itself,” he explains. “It’s about operationalizing it. How do companies integrate AI into their workflows? How do they measure return on investment? How do they help employees adapt?”

In his view, AI is not fundamentally changing the classic rules of digital transformation. The same principles still apply: people first, processes second, technology third.

AI Is an Accelerator, Not the Core

One of the strongest ideas emerging from my discussion with Carlos was that AI should not be treated as a goal in itself.

“The core has always been process optimization,” Carlos says.“You spend far more time defining workflows, defining policies, and managing organizational change than teaching people not just how to prompt, but also how to integrate and orchestrate AI tools effectively.”

This perspective contrasts sharply with the current market trend, where many organizations rush to “adopt AI” without clearly defining why they need it in the first place.

According to him, many executives are under pressure to demonstrate AI adoption simply because competitors are doing the same. Some companies already demand internal AI KPIs, even when employees are using AI for tasks that provide little practical value.

“The fact that you can use AI doesn’t mean you should,” he argues. “The important question is: does it actually improve efficiency or solve a real problem?”

Surfing the Wave Instead of Fighting It

Asked whether people should fear AI, Carlos used a simple metaphor.

“AI is like a wave,” he says. “You can try to fight it, or you can surf it.”

He believes the acceleration of AI development is unlikely to slow down. Governments, corporations and entire regions now see artificial intelligence as a strategic race tied to competitiveness, economic power and geopolitical influence.

“The United States, China and Europe all understand this is a priority,” he explains. “Once countries start investing resources at this scale, it becomes very difficult to stop.”

Competition itself becomes the engine. If one country or company believes another is advancing faster, everyone feels pressured to continue investing.

Beyond Automation: The Bigger Philosophical Question

The conversation also moved far beyond productivity and automation.

Carlos believes society is underestimating the deeper implications of AI — especially if artificial general intelligence (AGI) eventually becomes reality.

“If AI becomes better than humans across all economic domains, then we enter a completely different scenario,” he says. “And we don’t really have political or economic frameworks prepared for that.”

Unlike previous industrial revolutions, which created new categories of jobs alongside automation, AGI raises a more difficult question: what happens if machines can improve, maintain and optimize themselves?

Modern economic systems — whether capitalist or socialist — are fundamentally built around human labor. If work itself is no longer necessary, entire ideological structures may need to be reconsidered.

“How much meaning in our lives is connected to the work we do?” he asks. “What happens if that disappears?”

Eastern Europe’s Unexpected Advantage

One particularly interesting part of the discussion focused on Eastern Europe and its relationship with technology adoption.

While AI adoption among businesses remains cautious, Carlos sees the region as having a major long-term advantage due to its strong engineering and technical culture.

Countries such as Romania, Ukraine, Estonia and Moldova inherited a deep emphasis on science and engineering education — something he believes still shapes society today.

“In Eastern Europe, engineering and technology are culturally valued,” he says. “You see it in the number of programmers, in technical education, and even in the role of women in engineering compared to many Western countries.”

Romania, in particular, was mentioned as a country that historically adapted quickly to new technologies. From internet infrastructure to software development talent, the region may ultimately prove more flexible than some Western European economies traditionally perceived as more advanced.

At the same time, resistance to change remains universal.

“People adopt technology slowly everywhere,” he notes. “A lot of it is cultural. Change always involves risk.”

AI Adoption Is Ultimately About Trust

One of the workshop’s recurring themes was that companies are often less afraid of AI itself and more afraid of uncertainty.

Managers understand that change is coming, but many do not know where to begin.

That is why, Carlos argues, successful AI implementation should resemble a gradual organizational transformation rather than a simple software rollout.

“You don’t just buy licenses for everyone and expect magic to happen,” he explains. “Successful AI adoption requires a strategic, company-wide transformation process implemented gradually. You start with focused teams or use cases, validate what actually works in practice, measure results, build internal know-how, and then scale adoption step by step across the organization.”

In other words, the future of AI inside companies may depend less on the models themselves and more on leadership, organizational culture and change management.

The technology is already here. The harder question is whether people, businesses and institutions are ready to evolve with it.

And this is precisely the gap that Carlos aims to address through Arxia’s AI Acceleration Program — a framework designed to help companies move beyond experimentation and actually operationalize AI inside their organizations.

The post Riding the AI Wave: Why the Real Challenge Is Not Technology, but Change appeared first on Startups&TheCity.

The eYou platform, a Romania-based social media startup currently in pre-launch, aims to become a European alternative to traditional networks, focusing on algorithm transparency, user control over feeds, and AI-powered fact-checking. The project has raised €300,000 in pre-seed funding from Fil Rouge Capital and has already attracted over 10,000 sign-ups on its first day.

Founded by Jasseem Allybokus and Grégoire Vigroux, two French entrepreneurs based in Romania, eYou positions itself as a “trust-by-design” platform in contrast to global players like Facebook and X.

At the core of the product is a real-time fact-checking feature integrated directly into the user experience. With a single click, users can access AI-generated assessments of posts, based on credible and neutral sources, enabling them to verify claims without interrupting the flow of conversation.

The platform also introduces a transparent recommendation system, allowing users to view and adjust the profile built about them. This gives users direct control over the signals shaping their feed and the option to diversify content exposure beyond algorithm-driven echo chambers.

Built in Europe and aligned with strict data protection standards, eYou enters a market increasingly concerned with misinformation, platform accountability, and the dominance of non-European tech giants.

The public launch is scheduled for May 2026. Until then, users can join the waitlist and secure early access at: eyou.social.

The post eYou raises €300,000 to build a European social media alternative, surpasses 10,000 sign-ups on day one appeared first on Startups&TheCity.

Techsylvania, one of Eastern Europe’s leading tech and business conferences, announces the launch of its 2026 edition. The event will take place on June 24–25, 2026, in Cluj-Napoca, Romania, bringing together thousands of innovators, entrepreneurs, executives, and technology enthusiasts from around the world.

With every edition, Techsylvania strengthens its position as a catalyst for innovation and a powerful platform where global leaders share groundbreaking ideas, emerging startups gain visibility, and meaningful business relationships begin. The 2026 edition promises an elevated experience focused on the future of technology, product building, artificial intelligence, business growth, and the global innovation landscape.

What Awaits You at Techsylvania 2026

Attendees can expect the signature Techsylvania experience:

Visionary Perspectives: Global industry leaders will take the stage to explore the trends shaping the next decade—from AI and emerging technologies to the intersection of business, innovation, and society.

Hands-on Workshops: Expert-led practical sessions designed to help professionals sharpen their skills in areas such as engineering, AI, product strategy, leadership, and data.

Startup Alley: Startup-focused events, exclusive pitching opportunities, and curated interactions with international investors and mentors.

Premium Networking: Curated spaces including the B2B Matchmaking Area, Executive Lounge, and invite-only gatherings that foster strategic connections between leaders, founders, and top-level professionals.

Interactive Experiences: Technology showcases and installations highlighting cutting-edge products, tools, and emerging technologies.

First Confirmed Speakers Announced

Techsylvania 2026 has already confirmed its first international speakers, bringing together founders, investors, and operators shaping the future of technology and business.

Among them are Andrei Șerban, Founder & CEO of Console, an AI-native platform backed by Thrive Capital and DST Global; Sam Lipoff, Partner at Liminal, the venture studio and fund founded by Temasek Holdings; and Sheel Mohnot, Co-Founder & General Partner at Better Tomorrow Ventures, a leading seed-stage fintech fund.

These early confirmations set the tone for a high-impact lineup focused on applied technology, AI, and real-world business insights.

Strategic Partnership Announcement

Techsylvania 2026 is proud to welcome Super Technologies as the Strategic Partner for this year’s edition.

As a fast-growing company in the global technology and entertainment space, Super Technologies shares Techsylvania’s vision of driving progress through technology, entrepreneurship, and bold thinking. This partnership further strengthens the event’s mission to create meaningful connections between global leaders, innovative companies, and the next generation of community builders.

A New Chapter for Eastern Europe’s Innovation Landscape

Techsylvania 2026 marks an important moment in positioning Eastern Europe as a rising force in global technology and business. The event continues to attract a diverse audience of engineers, founders, executives, investors, corporate innovators, and community builders from more than 30 countries.

Additional speakers, partners, and special initiatives for the 2026 edition will be announced in the coming weeks.

More information and updates on techsylvania.com.

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On June 17–18, 2026, Oradea will host the fifth edition of UNCHAIN Festival, one of the leading finance and technology events in Central and Eastern Europe. The organizers expect more than 800 senior leaders from over 40 countries, including representatives from banks, fintech companies, regulators, payment networks, and technology providers.

This year’s focus is on closing execution gaps and addressing the structural risks created by legacy infrastructure and rapid AI adoption.

Over the past five years, the financial ecosystem across Central and Eastern Europe has undergone a quiet but profound transformation. What began as an urgent push for digitisation has evolved into a deeper reconfiguration of how finance is built, distributed, and experienced, from the unbundling of legacy banking infrastructure and the rise of embedded finance to the convergence of payments, credit, loyalty, and data-driven decision-making.

Insights gathered across previous editions of UNCHAIN Festival and distilled in its sector whitepapers point to a clear direction: finance in CEE is no longer defined by isolated products or institutions, but by ecosystems. Banks are navigating legacy “spaghetti” infrastructures while experimenting with parallel core systems and AI-driven internal automation. Retailers are moving beyond transactions toward experience-first models where payments, lending, and loyalty blend seamlessly into the customer journey. Meanwhile, fintechs are no longer challengers at the edges, but integral players shaping interfaces, expectations, and speed.

Against this backdrop, UNCHAIN Festival returns to Oradea on 17–18 June 2026, offering unparalleled networking opportunities, exclusive industry insights, and strategic connections for over 800 senior leaders and decision-makers from more than 40 countries. This event marks its 5th anniversary and has evolved into a comprehensive platform that connects financial institutions, regulators, technology providers, and industry leaders at a time when alignment has become a strategic necessity.

“During the first four years of the UNCHAIN Festival, we have seen a lot of international cooperation and merchant integration. Technology combines various verticals even more closely. Many non-banks are now entering the financial services market by offering embedded finance options or loyalty/crypto products to their customers. There are many challenges with regulation, but this is exactly why we’re bringing everybody to the same table – so law can keep up with innovation, and vice versa. Technology adoption, as in digital-first and customer-vertically specialized, continues to develop. Neobanks, digital brokers are getting more and more prolific,” says David Pollack, Managing Partner at UNCHAIN.

From Fintech Disruption to Financial Integration

As geopolitical uncertainty, regulatory pressure, and economic fragmentation continue to test Europe’s resilience, UNCHAIN 2026 positions itself at the intersection of these forces, fostering dialogue around regional integration, trust, and execution. The event aligns with the emerging EU Inc. vision and aims to strengthen Europe’s internal economic cohesion, making it a vital platform for stakeholders committed to regional resilience and innovation.

In its fifth year, UNCHAIN reflects the maturity of the ecosystem it serves. Fintech is no longer a vertical; it is embedded across banking, payments, retail, mobility, and public infrastructure. The 2026 agenda will cover critical topics such as programmable capital markets, embedded financial models beyond checkout, hybrid digital–human banking experiences, and the role of AI as an internal efficiency engine rather than a blunt customer-facing tool.

These discussions build directly on patterns observed over time at UNCHAIN: banks seeking clarity over ownership versus partnership, merchants pushing back against outdated loyalty and cashback mechanics, and regulators grappling with frameworks designed for a world that no longer exists.

Industry Voices on Innovation and Regulation

Erik Barna, Co-Founder of FaraGrija.ro, highlights the growing exchange between banking and insurance: “Insurance is the smallest brother of banking. Instead of borrowing from insurance, banking can inspire innovation in insurtech. Directives like PSD2 boosted fintech startups; we need something similar for insurance.”

Similarly, regulators are navigating new challenges at the intersection of data, AI, and innovation. Ivana Jolic, Director at the Croatian National Bank, explains: “Credit risk AI needs vast data, but GDPR restricts usage. We must find a balance for keeping systems safe while fostering innovation.”

Michal Vodrážka of the Czech National Bank adds: “Instant payments should be the norm without over-reliance on law. We focus on improving existing infrastructure while monitoring developments like the digital euro.”

From the merchant perspective, Ciprian Pîrv, Country Managing Director at Payten, observes: “Merchants want seamless payment methods that are stable and error-free. Innovation drives adoption when it delivers direct benefits and competitive advantage.”

Scale, Continuity, and Regional Relevance

What started as a 350-delegate gathering has grown into one of the most influential financial platforms in the region. Across its previous editions, UNCHAIN has brought together well over 2,000 participants, creating a cumulative, cross-border community of decision-makers shaping the future of finance in CEE.

With approximately 75% of attendees from the financial sector, UNCHAIN has become a reference platform for meaningful, outcome-driven conversations that can shape how finance is understood in CEE.

“The fifth anniversary represents more than just a chronological milestone; it marks a fundamental shift in our regional impact. We are moving beyond the ‘fintech’ label because the challenges of 2026 — liquidity, credit access, and risk management — require a unified ‘Finance’ front. By transitioning from the ‘Fintech Fortress’ to the Finance Fortress, we are inviting the entire spectrum of the financial industry to Oradea to ensure that CEE remains a cohesive, innovative, and resilient economic bloc within the European Union. EU Inc. will definitely be a big topic this year at UNCHAIN“, says David Pollack, Managing Partner at UNCHAIN. 

Reflecting on the momentum behind the 2026 edition, Eliad Saporta, Founder & CEO of Coriunder and long-time UNCHAIN contributor, notes: “What we are seeing across banking and payments is not a race for the next shiny feature, but a recalibration of roles. In 2026, the real competitive advantage will come from institutions that understand context, knowing when to automate, when to intervene, and how to stay visible in the moments that matter most to customers. This is exactly the type of conversation UNCHAIN.”

Mr. Saporta’s contribution at UNCHAIN 2026 will further explore how infrastructure choices, AI governance, and embedded finance models are reshaping short- and medium-term strategies across Europe’s financial institutions.

A Platform for Connection and Execution

Hosted within the historic Oradea Fortress, UNCHAIN 2026 continues to combine strategic content with a highly curated networking environment, offering brands and institutions full exposure to the CEE market in a single setting. The event brings together private-sector leaders alongside central banks, regulators, and global networks such as Visa, reinforcing its role as a bridge between policy, innovation, and real-world execution.

As Central and Eastern Europe moves from catching up to actively shaping Europe’s financial future, UNCHAIN Festival stands as the place where that future is debated, challenged, and built.

Tickets and registration are available here: unchainfestival.com/tickets/.

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Rubik Hub announces the 8th edition of Rubik Garage, its flagship accelerator program, dedicated for the first time exclusively to the healthcare industry. The program runs from October 2025 to February 2026 and is open to European startups at pre-MVP, MVP, or growth stage that are building impactful health solutions. Participation is free and equity-free.

Applications are now open: rubikhub.ro/rubik-garage/

Two Tracks for Healthcare Startups

The program offers tailored support depending on the stage of development:

Pre-MVP (TRL 3–5): From Proof of Concept to Prototype

• Validate the technical and functional feasibility of solutions
• Move from proof of concept to functional prototype
• Prepare for early user testing and market readiness

MVP & Growth (TRL 6–8): From Testing to Market Traction

• Validate technology in operational environments
• Attract first customers or users
• Refine the business model for growth, market entry, or fundraising

“Through the Rubik Garage accelerator, we support healthcare startups in moving towards market-ready solutions, real-world validation, and commercial traction. Rubik Hub has the expertise to guide founders from early validation to building viable business models, providing them with the knowledge and resources they need. We chose to apply this experience to one of the most challenging sectors—healthcare—in order to foster real innovation and long-lasting impact,” said Ionuț Amariei, program manager.

Eligibility

The accelerator targets European startup teams working on solutions in medtech, healthtech, digital medical devices, digital health, health data, longevity, mental health, and consumer health.

Applicants must have:

• Solutions at TRL 3–8
• A founding team with medical expertise
• Ambition to scale into European and global markets

As with all Rubik Hub programs, participation is free and equity-free, but teams must commit fully to the program. Applicants showing strong engagement will be prioritized.

Program Structure

The program starts on October 22, 2025 and includes:

• 100+ hours of workshops, mentoring, and one-on-one feedback sessions
• Meetings with investors, founders, and certified coaches
• In-person gatherings:
  • Milan Bootcamp (Nov 26–28, 2025) – networking with peers, mentors, and the Rubik Hub team
  • Demo Day (Feb 2026) – startups present their progress to investors, partners, and mentors

A Proven Track Record

Since its launch, Rubik Garage has worked with more than 230 founders, with alumni including Rayscape, Synaptiq, Apollo AI, and Beesers. This edition is supported by Orange and Imago-Mol Cluster through the Innovate EU and Cluster4Health projects.

In 2025, Rubik Hub, part of the North-East Regional Development Agency of Romania, was ranked 39th among Europe’s top accelerators, a prestigious list developed by Financial Times, Sifted, and Statista.

At the beginning of October, part of the Rubik Hub team will attend Italian Tech Week, where they can connect in person with the local startup ecosystem.

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With over 50 teams, 40 mentors, and 30 real-world challenges, this year’s Cluj Hackathon, held from May 24–26 2025, pushed boundaries in agentic AI — and made space for some of the brightest young minds in Romania and beyond to shine. The three-day innovation marathon, hosted by Bosch Engineering Center Cluj, drew not only hackers and developers but also investors, accelerators, and founders curious about the next wave of AI-native startups.

Organized by Adrian Vlasiu, the hackathon aimed to harness the power of artificial intelligence to address real-world societal issues. Participants were encouraged to develop AI-driven solutions across various domains, including education, healthcare, and emergency response. The event’s mission was clear: to create impactful technologies that serve the community.

Now in its third edition, Cluj Hackathon has established itself as a consecrated name in the global hackathon scene, recently recognized by the Major League Hacking as one of the top 100 hackathons in the world.

“That kind of recognition validates the quality of our teams, our mentors, and the energy we’ve been building here in Cluj,” said Adrian Vlasiu, the event’s founder and organizer.

The winners? Three radically different teams united by one trait: they built useful, human-centered products with global potential.

First Prize: AI Interior Design Assistant That Understands Your Style

Filip Csibi, a computer science student at the Technical University of Cluj-Napoca, teamed up with Mark Renner, a theology high school student passionate about computer science and one of the youngest participants of the hackathon, to win first place with a product that turned heads.

Their AI-powered interior design app that helps users visualize room layouts and purchase suggested furniture in a few clicks. Using OpenAI APIs and DALL·E 3, the app generates personalized room visuals and learns user preferences over time. Ideal for people who move often or want quick, affordable design help, the app could soon evolve into a 3D and VR-based design platform.

Despite being just a duo, the team delivered a highly-polished prototype and impressed judges with both technical execution and vision. Filip said the experience reinforced the importance of teamwork — and they are already planning to expand the team for next year’s edition.

Second Prize: A Chatbot to Fix University Bureaucracy

Few things frustrate students more than getting information from university secretariats. Matei Botezat, Bogdan Buruian, Luca Balasoiu and Bogdan Biris, all four computer science students from Babeș-Bolyai University, created a smart fix: a university helper chatbot powered by Google Dialogflow and Cloud Functions.

Their idea? Free up secretaries’ time and reduce student stress by automating answers about scholarships, Erasmus programs, student IDs, and more. Mentorship from experts like Maria and Zoli (Fetch.ai) helped them refine the app’s business potential and prepare it for rollout.

The next step: test a prototype at their own university and explore expanding across campuses via European grants or university consortia. It’s a hyper-local solution with cross-border relevance — and a practical example of AI as administrative glue.

Third Prize: Angel AI — A Calm Voice in an Emergency

From travel panic to cultural misunderstandings, the Angel AI team tackled a universal pain point: what happens when travelers face danger in unfamiliar places? Their AI-powered assistant app aims to provide immediate, culturally aware support in high-stress situations — from medical emergencies to legal trouble or natural disasters.

Originally pitched as a dynamic travel planner, the idea pivoted mid-hackathon to focus on preventive alerts, real-time assistance, and actionable advice in moments of crisis. The team — Cristiana Constantin, Marius Manea and Bogdan Caraeane, all three students at  the University of Bucharest — received key mentorship on shaping their go-to-market strategy and decided to explore white-label partnerships with insurers, travel platforms, or even competitors.

With a rebrand in the works and small features being rolled out to collect traction and data, Angel AI is aiming to become a digital safety net for travelers worldwide.

Mentors: Cluj’s Secret Weapon

Mentors played a critical role in guiding teams toward clarity and viability. One of them, Mo Zidan, highlighted just how far the Cluj tech scene has come, not trying to replicate Silicon Valley, but growing with its own distinct identity.

He was also struck by the confidence and global mindset of young Romanian talent — like the 14-year-old who pitched fluently to a panel of international judges. For Moe, participating as a mentor was a way to “give back” and help build bridges between Cluj and other tech hubs in Eastern Europe and Asia.

“It’s not about copying Berlin or San Francisco. Cluj should link with other rising hubs — places like Prague, Budapest, Jakarta, Seoul. We have the mindset now. And the talent.”

One major evolution at this year’s event? Teams didn’t just use AI as a gimmick — they built AI agents that could act: book transport, send documents, or adapt in real time to changing user needs. Mo described this as “the biggest leap forward” he’s seen at any hackathon so far.

“This year’s AI agents weren’t just reactive chatbots,” said Mo Zidan, one of the lead mentors. “They were capable of taking action — booking taxis during emergencies or rerouting flights. That’s a massive shift.”

AI, Creativity, and the Future: A Bosch Perspective

As the host of the Cluj Hackathon 2025, Bosch Engineering Center Cluj provided not just the venue, but a fertile ground for forward-looking innovation. For Maria Barbatei, Group Leader of VR & AR Activities at Bosch, what stood out most was the breadth and relevance of the solutions.

“First of all, in this edition, the variety of solutions was extremely wide,” Maria noted. “The participants tackled problems from several industries, and especially the winners provided a solution which is relevant to all of us as it influences our daily lives and helps us to design our work environment at the office or at home as it fits us best.”

Beyond the creativity and boldness of the teams, Maria emphasized Bosch’s ongoing investment in AI-driven development and a data-first culture:

“I believe that the development of AI in the next five years will be fast-paced, and this is the reason why at Bosch we focus on data-driven development, and aim to foster a data-first culture while staying ahead with the AI advancements. We do this with the projects and activities in the data-development area as well as with building communities to expand these competencies in the organization with a rich mix of learning formats and collaborative activities.”

Bosch’s innovation programs don’t just support external events like the hackathon; they’re also fueling internal breakthroughs, with multiple invention reports being generated every year. It’s a model of how corporate R&D and grassroots innovation can work hand-in-hand — and how Cluj’s tech ecosystem is positioning itself for long-term, AI-powered growth.

What’s Next for Cluj Hackathon?

The 2025 edition marked a turning point — with agentic AI becoming not just a buzzword but a tool for building real products with real users. The energy was palpable. So was the ambition.

As the Cluj tech ecosystem continues to mature, the hackathon proves it’s not just a launchpad for code, but a catalyst for startups, mentorship, and international partnerships.

Organizer Adrian Vlasiu sees even bigger things on the horizon: an expansion across Romania and Europe, the launch of a Senior Hackathon for professionals aged 30+, and the formation of a European Hackathon League to foster a cross-border community of builders.

“We’re creating a platform where ideas meet capital, mentorship meets execution, and regional talent meets global relevance”, Adrian said.

One thing’s certain: the future of AI isn’t being built in Silicon Valley alone — it’s also coming from a theology high school student in Cluj, a chatbot for university offices, and a virtual guardian angel for tourists.

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