More than 60 tech funding deals worth over €2.7 billion were tracked in Europe last week, with artificial intelligence, healthtech, and software being the top industries. Germany, Sweden, and the UK led the countries with the most funding. The Tech.eu Funding Explorer provides deeper insights into funding data, investor activity, and market trends.

A new demo showcases an AI event venue operator built with MongoDB Atlas, Voyage, and LangGraph, enabling agents to remember prior events and respond to live operational changes. This technology has significant implications for the event management industry, particularly for high-stakes events like tennis tournaments. The demo highlights the potential for AI to improve event operations and enhance the fan experience.

The British Business Bank has committed €25 million to EQT Life Sciences' EQT Health Economics 3 Fund, supporting high-potential life sciences companies in the UK. This investment is part of the Bank's ongoing efforts to back the UK's life sciences sector, one of the eight growth sectors of the UK Industrial Strategy. The fund will focus on commercial-stage, de-risked medtech and digital health technologies.

This week, Helsing secured $1.8B Series E funding at an $18B valuation, while Uber acquired Delivery Hero in a €13B deal and Revolut announced plans to launch a US bank in 2027. These developments highlight significant investments and acquisitions in the European tech industry. The funding landscape is shifting, with notable trends in venture activity, investor moves, and emerging sectors.

BatteryLake is a novel platform that standardizes and curates battery aging data, enabling advanced health management and benchmarking. This innovation has significant implications for the AI industry, developers, and businesses. By providing a governed data lakehouse, BatteryLake turns raw public battery data into benchmark-ready assets.

LongMedBench is a new benchmark for evaluating medical agents in long-horizon clinical decision-making. It provides a realistic assessment of AI models in medical care, emphasizing longitudinal interactions and multi-session decision-making. This benchmark has significant implications for the development of more accurate and reliable medical AI systems.