About us

A team from research and financial practice.

At DataNXT, academic researchers, seasoned financial analysts, and entrepreneurial technologists came together to build the next generation of AI-powered financial intelligence.

The team

Experts united by a standard of clarity.

Manú Weissel

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

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

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

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

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

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

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

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

Daniel Saad

Researcher

Expert in machine learning and artificial intelligence with deep knowledge of advanced algorithms and data science applications.

Kamil Piwowar

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

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

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.

Our partners

Programmes and institutions behind us.

Our journey

From university research to a product.

  1. 2018

    University research

    Foundational research at the Goethe University Chair of Banking & Finance in textual analysis and AI applications for capital markets.

  2. 2022

    Team formation

    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.

  3. 2024

    Product development and validation

    Extensive validation sessions with asset managers and portfolio managers to understand real-world workflow challenges in capital markets.

  4. 2026

    Market entry

    Selected financial institutions ran the beta programme and letters of intent are secured. DataNXT has been generally available since 2026.

Build verifiable finance workflows with us.

Get in touch, or first see how the platform works inside a finance team's working day.