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Building the Future of Fund Intelligence: The AI Layer at Vestberry by Jaroslav Sumbal | Engineering Team Lead

By Terézia Kmecová, Product Manager @Vestberry

AI is transforming how VCs identify and evaluate opportunities. How are AI tools reshaping deal sourcing, and what does this mean for efficiency, accuracy, and competitive advantage in venture investing? Panelists: Ties Boukema, Head of Data, Tech & AI, Dawn Capital Lukas Huber, Product & Tech Manager, Speedinvest Keshvi Radia, Head of Product, Balderton Capital Atte Honkasalo, Vice President, Data & Analytics, NGP Capital Moderator: Mustafa Torun, Head of Data/AI, Invest-NL

Successful venture firms go beyond capital, actively driving growth across their portfolios. This session will explore key strategies for value creation, including operational support, network access, strategic partnerships, and leveraging data insights to help portfolio companies scale and succeed. The buzzword of the day is “smart money”. Investors today are expected to provide more than capital. How do VCs create real, measurable impact for founders, and what does that look like in practice? Let's talk about it with the experts: Speakers: Ashley Saeb, Strategic Partnerships Operations @Autotech Ventures; Francesco Corea, Fractional Head of Data; Lucia Cerchlan, Head of Founder Experience @BACKED VC Moderated by: Veronika Zrubáková, Investment Associate @Zero One Hundred VC

In an uncertain market, managing risk is critical for long-term portfolio success. How do VCs assess and mitigate financial, market, and operational risks while ensuring upside potential? Panelists: Philipp Spenger, Head of Unit – EIC Fund Investment Services – Venture & Growth Capital, European Investment Bank Jochen Küst, Chief Financial Officer, Earlybird Erik Vobis, Operations & Finance Principal, EnBW New Ventures Philippos Pouroullis, Principal, Energy Revolution Ventures Moderator: Ege Agca, VC Investor, Metis Ventures

How can venture capital firms leverage proprietary data tools to transform their deal sourcing and investment decisions? In this practical case study, Natasa Ralevic will share insights from Angelini Ventures' Digital Pillar initiative and how it's transforming their investment approach through Data Science. She'll then dive into a specific case study of their proprietary data scouting tool that revolutionizes healthcare startup discovery, using advanced analytics and custom algorithms to rank and prioritize startups and investors for faster, more objective deal sourcing. This session offers a behind-the-scenes look at how a leading healthcare VC uses data science for competitive advantage.

This talk from Venture Intelligence Day | Prague 2025 by Vestberry features Alex Patow from Inflection Capital. He shares how the team tried automated sourcing first. It did not fit how their fund works. They built a research platform instead. The message is direct. Every fund works differently. The tech should match your own strategy. Do not copy systems built for bigger funds if they do not serve your edge.

At Venture Intelligence Day in Prague, Marek Zamecnik, CEO of Vestberry talked about why data intelligence is the new edge in venture capital. Before you can be AI-driven, you need a strong, well-integrated data foundation. Proprietary data, stacked correctly, will be the ultimate differentiator in the post-AI world.

LPs’ Perspective on Data‑Driven VCs — Transparency, Metrics, and AI in Portfolio Monitoring In this fireside chat, Marek Zamecnik (CEO & Co‑founder, Vestberry) speaks with Leah Welch (Investment Associate, AR Capital) about how LPs evaluate venture funds, what “data‑driven” really means, and why transparent, granular portfolio data is now a baseline expectation. What you’ll learn: - How LPs benchmark funds (TVPI/DPI, vintage, peer comps) - The portfolio data LPs expect: ownership, check sizes, follow‑ons, co‑investors, IC context, success attribution - Why quarterly PDFs aren’t enough—and lack of transparency is a red flag - Forward vs. historical reporting: portfolio construction, models, projections as differentiators - AI’s best near‑term fit: portfolio monitoring (risk flags, exposure tracking, pattern detection), plus security considerations - How first‑time managers can win LPs (warm intros, rigor, unique perspective) Who should watch: - VCs and emerging managers aiming to meet LP diligence standards - Operators building institutional‑grade portfolio monitoring and reporting - Anyone exploring AI’s practical role in venture workflows #VC #LP #VentureCapital #PortfolioMonitoring #DataDrivenVC #AI #Diligence #LPReporting #Vestberry

How are investors combining human instinct with AI precision to find the next big thing? This session dives into how venture firms are using AI tools as co-pilots in the deal sourcing journey—enhancing decision-making, reducing bias, and uncovering overlooked opportunities. Moderator: Aryuna Merdygeeva, Founder @ Olhon Social Capital, LLC Panelists: Hanna-Stina Sonts, Intelligence @ Atomico Fred Campbell, Managing Partner @TRAC Marc Wu, Investor @Activant Capital

Modern VC firms now go beyond capital by providing operational support through “platform” teams. This session dives into how VCs help startups with hiring, community-building, bizdev and more. Panelists (e.g. platform directors) will discuss strategies to scale founder support – sharing tactics for recruiting talent, forging corporate partnerships, marketing/comms guidance, and building founder communities that give firms a competitive edge in winning deals and driving portfolio growth. Panelists: Erica Amatori, SVP of Platform @ Left Lane Capital Jules Nguyen, Portfolio Talent Lead, Platform @Galaxy Ventures Gabriela Manrique, Partner @Angelini Ventures Moderator: Calin Fabri, Founder & Host, #ValueAdd & Venture Europe

First published 10 years ago, The State of European Tech report is today recognized as the definitive benchmark for understanding the evolution of the ecosystem, measuring both its remarkable progress, as well as highlighting barriers that stand in the way of Europe fulfilling its full potential. Join us for a pulse check on where European tech stands on a global stage today, and what’s to come in the future.

David Teten published the first research study on “The Lower-Risk Startup: How Venture Capitalists Increase the Odds of Startup Success” in the Journal of Private Equity, peHub, Betabeat, Palico, and Techcrunch. It was the single most-viewed article in the Journal of Private Equity during the year after publication. David continues to write occasionally on how investors in private companies can accelerate their portfolio.

Watch our webinar on Building a Proprietary Deal Sourcing Engine in Venture Capital and learn from Marton Medveczky (Associate Partner, Flashpoint) and Ties Boukema (Head of Data, Tech & AI, Dawn Capital) as they share insights on leveraging data and technology for smarter deal sourcing. Discover the tools, strategies, and tech stacks they use to stay ahead of the competition.

Harmonic is the startup discovery engine trusted by over 250 VCs, including BCV, GV, Insight, Mosaic, and every top 5 global VC firm. Harmonic helps you discover top founders and startups months ahead of your competition by providing real-time insights through key traction metrics like headcount growth, funding milestones, and online traffic. With Harmonic, you can continuously monitor important developments in your network, ensuring you don't miss the funding round from that impressive founder you met 6 months ago.

A unique presentation by Harry Uglow, Senior Software Engineer at Atomico, exploring the tech stack Atomico uses. In just 20 minutes, this deep dive showcases what an advanced VC tech stack looks like, with real examples of how core tools—like AI—automate workflows and generate insights to support data-driven decision-making.

How is product shaping the future of venture capital? In this talk, Keshvi Radia explores how VCs can leverage automation, SaaS tools, and AI to streamline workflows, reduce manual work, and gain a competitive edge. From identifying bottlenecks and using low-code tools to managing data efficiently and integrating AI, discover why product functions are becoming essential in VC.

In an industry where intuition and experience have long been the driving forces behind investment decisions, the role of data in venture capital is rapidly evolving. In this session, Dr. Andre Retterath explores why VCs should embrace a more data-driven approach to gain a competitive edge, enhance decision-making, and uncover hidden opportunities. He also provides a recap of the current data-driven VC landscape in 2025 and shares his outlook for the future of venture capital.

How can VCs turn data into real value? Marek Zamecnik explores how structured portfolio data enhances decision-making, improves risk management, and uncovers growth opportunities. By leveraging portfolio intelligence, investors can detect early risk signals, optimize governance, and make data-driven strategic moves.

In the data-rich environment of venture capital, effectively communicating insights to stakeholders is crucial. This panel will explore how to craft compelling narratives around data insights and tailor presentations to meet the needs of different audiences, from limited partners to portfolio companies. The discussion will also delve into real-world examples where analytics have led to actionable decisions or strategic shifts, highlighting the specific metrics and data points that were most impactful. Panelists will share how these insights were effectively communicated to stakeholders, providing valuable takeaways for participants looking to enhance their own reporting and communication strategies.

Artificial Intelligence is transforming how venture capital firms source and evaluate deals, offering new efficiencies and insights. This panel will delve into the AI tools and platforms that are revolutionizing deal sourcing, the role of predictive analytics in identifying investment opportunities, and the key data points that drive AI-driven deal sourcing. Through real-world examples, attendees will see how AI has uncovered hidden gem investments and streamlined due diligence processes.

Data science and engineering are revolutionizing the venture capital landscape, offering powerful tools to enhance the investment process. This panel will explore the role of data engineering within VC firms, the integration of machine learning models, and the importance of maintaining clean, structured data for accurate analysis. Discussions will also focus on fostering collaboration between data scientists and investors, building a data-driven culture within VC firms, and overcoming the challenges of adopting these practices.

As data becomes increasingly central to venture capital, firms are exploring new ways to create value and manage portfolios through data-driven strategies. This panel will address the challenges and solutions in implementing these approaches, from measuring value creation to integrating external and internal data for a comprehensive view.