Ultramarin

Based in Berlin, Germany, Ultramarin GmbH is a financial technology firm established in 2017 that develops artificial intelligence-driven investment solutions for professional investors. The company was founded by Daniel Willmann, Mathias Eitz, and Ronald Richter, who brought together their interdisciplinary expertise in finance, computer science, and machine learning. Daniel Willmann, the CEO, has a background in business administration and professional services firms in Munich, Frankfurt, and London. CTO Mathias Eitz holds a Ph.D. in Computer Science and has prior experience founding software development and AI companies. Ronald Richter, a Principal Machine Learning Engineer, has over 25 years of experience in professional software development, specializing in complex systems analysis.

Ultramarin operates in the quantitative asset management sector, serving clients such as banks, family offices, and financial intermediaries. The firm’s business model is centered on providing AI-based predictive models for global equity markets to enhance investment decisions. Revenue is generated through several offerings: investment funds providing direct access to AI-based equity strategies, customized solutions via individual mandates, and participation in the performance of AI-optimized equity indices through ETFs. Additionally, the company provides API-based access to its AI-powered equity research platform, Ultrascope, which covers over 2,000 companies globally.

The core of Ultramarin's service is its proprietary AI platform, which models complex market dynamics and integrates various data sets, including those from fundamental analysis and behavioral finance. This platform is designed to identify non-linear relationships that traditional econometric models might miss, aiming for improved prediction quality. A notable feature is the "Fast-and-Slow" approach to tactical equity allocation, inspired by Daniel Kahneman's work, which models both intuitive and rational market behaviors to act as an early warning system. The solutions are highly customizable, allowing clients to tailor strategies based on specific investment universes, risk management parameters, and sustainability (ESG) criteria. A significant milestone was the June 2024 launch of the first AI-driven active equity ETF in Europe, the AI-Enhanced Eurozone Equities UCITS ETF, in partnership with Baader Bank AG and supported by the Goldman Sachs ETF Accelerator.

Keywords: quantitative asset management, artificial intelligence, financial modeling, investment strategies, fintech, machine learning, equity research, asset management, predictive analytics, algorithmic trading