From Signals to Decisions: How Event Registry Is Evolving

At Event Registry, progress rarely arrives with fireworks. It shows up as signals — conversations that go a level deeper, partnerships that grow more ambitious, questions that become more precise. Over the past months, a lot of those signals have aligned.

What follows isn’t a recap. It’s a pulse check — a snapshot of how research, technology, people, and responsibility are increasingly converging in the work we do.

From Practice to Principle: Becoming a Research Organization

We’re proud to share that Event Registry is now officially registered as a research organization.

On paper, this is a formal step. In practice, it reflects something that has long been part of how we work. With multiple PhDs already on the team, research has never been an add-on — it’s embedded in how we approach data, language, and complexity.

For a company operating at the intersection of AI, media intelligence, and decision support, this matters. Research discipline means asking harder questions before offering answers. It means understanding not only what systems produce, but why, how, and where they can fail. As our tools increasingly inform high-stakes environments — from finance to policy — this mindset becomes essential.

“As AI systems become more deeply embedded in decision-making, the real challenge is no longer access to data — it’s understanding its limits. At Event Registry, we work with information that influences policy, markets, and public discourse. That comes with responsibility. We believe technology should not replace critical thinking, but strengthen it — by making uncertainty visible, context explicit, and decisions more informed.” — Gregor Leban, PhD, CEO, Event Registry

These reflections don’t stop internally. Our CEO regularly explores these topics publicly as well — writing about AI, data responsibility, and decision-making in complex systems, and continuing the conversation with the wider community. Read more here.

Growing the Team, Broadening the Perspective

Growth at Event Registry has never been about scaling fast for the sake of it. It’s about adding perspectives that strengthen how we think and work.

In recent months, we welcomed Maša Kavčič as Lead Sales Development Representative. With a background spanning project management, sales, and communications, Maša brings a strong focus on helping organizations use AI for smarter, more grounded decisions. Beyond her professional role, her commitment to sustainability, animal welfare, and the arts reflects something we value deeply: bringing personal values into professional rigor.

We also welcomed Martin Šušteršič to our development team. With extensive experience across academia, innovation, and entrepreneurship — including founding and scaling successful companies — Martin adds a rare combination of technical depth and real-world execution. His arrival strengthens our ability to build systems that are not only advanced, but resilient and scalable.

Together, these additions reinforce a simple idea: strong technology is built by diverse minds, not narrow expertise.

Trusted in Complex Environments: Progress in Fintech and Beyond

Over the past months, we’ve continued making strides in the fintech space — including working with partners such as the World Bank.

What enables these collaborations isn’t just access to data, but the ability to turn vast, noisy information streams into structured, interpretable insight. In environments where decisions carry long-term economic and social impact, trust is earned through transparency, methodological rigor, and consistency. These partnerships reflect growing confidence in how Event Registry approaches media intelligence at scale.

From Research to Reality: Graph-Massivizer Project Completion

One of the important milestones in recent months was the successful completion of the Graph-Massivizer project — a European research initiative focused on processing and reasoning over extreme-scale data using massive graph representations.

The project resulted in a comprehensive open-source toolkit designed to support the full lifecycle of working with complex data: from ingestion and graph construction to advanced analytics, reasoning, and performance optimization — all with a strong focus on scalability and sustainability.

As part of the project, Event Registry contributed one of the use cases. Our role focused on the conversion of data into graph structures, which can then be used to anticipate future events related to different companies.

This work reflects a broader direction we believe in: moving beyond observing events to understanding their structure — and ultimately, to reasoning about what may come next.

The full Graph-Massivizer toolkit is now publicly available as an open-source resource, marking the transition from research exploration to practical, reusable infrastructure.

In Conversation with the World: Panels, Conferences, and Open Data

Some of the most meaningful progress doesn’t happen behind a screen — it happens in dialogue.

At AI Startup Days, we were proud to see Erik Novak represent Event Registry on a panel discussing real-world AI challenges. One point resonated strongly: when we forget that AI systems can be wrong, their outputs risk being treated as unquestionable truth. This is why technological literacy matters as much as the technology itself — a theme that runs through much of our work.

At the RAST conference, organized by the Slovenian Institute for Standardization (SIST), our CMO Jakob Kapus presented “AI in the media space: from event detection to risk management.” The talk explored how AI-powered media intelligence connects early event detection with risk awareness — and how organizations can transform global news flows into structured, actionable insight.

Across these spaces, a shared message emerged: innovation works best when paired with openness, standards, and responsibility.

Looking Ahead

The past months reinforced something we strongly believe: building better technology isn’t about speed alone. It’s about depth, trust, and the willingness to engage with complexity — publicly and honestly.

As we move forward, we’ll continue refining our products, strengthening our research foundations, and staying present in the conversations that shape how data and AI are used in the world.

Same curiosity. Sharper focus. Steady momentum.