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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. If you'd like to learn more about how Harmonic can help you find your next breakout investment, reach out to darri@harmonic.ai

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.