At DataNXT, academic researchers, seasoned financial analysts, and entrepreneurial technologists came together to build the next generation of AI-powered financial intelligence.
Manú Weissel
CEO
PhD student, degrees in mathematics and economics with banking risk and applied AI experience in credit and market risk model validation. Leads DataNXT's workflow automation development.
Fabian Goldhorn
CTO
9 years as a developer at an SME automation startup, shipping cloud and on-premise systems. Expert in databases, deployment, and data pipelines. Architect of DataNXT's technical infrastructure.
Christopher Andrejew
CSO
Leads DataNXT's brand, marketing, and go-to-market strategy. Combines M&A and GenAI experience with an entrepreneurial background in marketing and digitalisation.
Edoardo Pilla
Research Assistant
M.Sc. in Money and Finance from Goethe University. Research assistant at the Chair of Banking and Finance, with previous experience at the ECB and Eurex in monetary policy and equity product design.
Prof. Dr. Mark Wahrenburg
Professor of Banking & Finance, Goethe University Frankfurt
Academic partner providing access to premium datasets and research validation. Chair of Banking & Finance at Goethe University with decades of banking and capital markets expertise.
Sandra Van Der Linden
Advisor
23 years of executive leadership in banking, bringing operational expertise and a global perspective to strategic execution.
Prof. Dr. Sasan Mansouri
Professor of Digitalisation and AI, University of Groningen
Expert in digitalisation and AI with a research focus on empirical banking, corporate governance, and textual analysis in finance.
Prof. Dr. Fabian Woebbeking
Professor of Financial Economics, Leibniz Institute for Economic Research
Head of the research group "Data Science in Financial Economics" at IWH, with expertise in financial economics and data science applications.
Daniel Saad
Researcher
Expert in machine learning and artificial intelligence with deep knowledge of advanced algorithms and data science applications.
Kamil Piwowar
Graduate Research Assistant
Doctoral researcher at University Hospital Frankfurt focusing on AI and statistical modelling. On the PSYCH-GPT project, he applies large language models to psychiatric research. M.Sc. in Clinical Psychology from Goethe University.
Minh Tú Pham
Student Assistant
M.Sc. student in Global Finance and Economics at Goethe University, specialising in AI applications for financial analysis. Research focus on benchmarking LLMs and building NLP tools for financial report analysis.
Habib-Ullah Mubarak
Student Assistant
B.Sc. Computer Science student at Goethe University Frankfurt. Supports DataNXT with product engineering, data preparation, and technical workflow execution.
Advisory Network
Financial academia
Professors from Goethe University, the University of Halle, and the University of Groningen specialising in M&A, textual analysis, and machine learning for qualitative financial data.
Financial support from Hesse's state initiative for university entrepreneurship, crucial for our research and development efforts.
Finalist in the AI Start Up Rising competition, providing access to AI research networks and innovation initiatives across Hesse.
Supporting our technological development with expertise and infrastructure to strengthen AI capabilities and platform performance.
Selected member, providing comprehensive startup support, mentorship, and entrepreneurial resources.
Selected for the Entrepreneurship Centre, providing access to financial experts, resources, and industry connections.
2018
Foundational research at the Goethe University Chair of Banking & Finance in textual analysis and AI applications for capital markets.
2022
Core founding team assembled: a mathematician with banking risk experience, a professor of digitalisation and AI, a professor of financial economics, and a banking expert.
2024
Extensive validation sessions with asset managers and portfolio managers to understand real-world workflow challenges in capital markets.
2026
Selected financial institutions ran the beta programme and letters of intent are secured. DataNXT has been generally available since 2026.
Get in touch, or first see how the platform works inside a finance team's working day.