At DataNXT, academic researchers, seasoned financial analysts, and entrepreneurial technologists came together to build the next generation of AI-powered financial intelligence.
Experts united by a passion for clarity and impact.
CEO
PhD student, degrees in mathematics and economics with banking risk and applied AI experience in credit/market risk model validation. Leads DataNXT's workflow automation development.
CTO
9 years as developer at SME automation startup, shipping cloud and on-premise systems. Expert in databases, deployment, and data pipelines. Architect of DataNXT's technical infrastructure.
Research Assistant
M.Sc. in Money and Finance from Goethe University. Research Assistant at Chair of Banking and Finance with previous experience at ECB and Eurex in monetary policy and equity product design.
Prof of Banking & Finance,
Goethe University of 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.
Advisor
23 years of executive leadership in banking, bringing operational expertise and global perspective to strategic execution.
Prof of Digitalisation and AI, University of Groningen
Expert in digitalization and AI with research focus on empirical banking, corporate governance, and textual analysis in finance.
Prof of Financial Economics, Leibniz Institute for Economic Research
Head of Research Group "Data Science in Financial Economics" at IWH with expertise in financial economics and data science applications.
Researcher
Expert in machine learning and artificial intelligence with deep knowledge in advanced algorithms and data science applications.
Student Assistant
M.Sc. student in Global Finance and Economics at Goethe University, specializing in AI applications for financial analysis. Research focus on benchmarking LLMs and developing NLP tools for financial report analysis.
Student Assistant
B.Sc. Computer Science student at Goethe University Frankfurt. Supports DataNXT with product engineering, data preparation, and technical workflow execution.
Financial Academia
Professors from Goethe University, University of Halle, and University of Groningen specializing in M&A, textual analysis, and ML for qualitative financial data.
Strategic partnerships that fuel our innovation and growth.
Financial support from Hessen'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 enhance 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.
From university research to market leadership — building user-controlled workflow automation for financial institutions.
Foundational research at Goethe University Chair of Banking & Finance in textual analysis and AI applications for capital markets.
Core founding team assembled: mathematician with banking risk experience, professor of digitalisation and AI, professor of financial economics, and banking expert.
Extensive validation sessions with asset managers and portfolio managers to understand real-world workflow challenges in capital markets.
Selected financial institutions join our beta program. Letters of intent secured. Platform launch planned for Q4 2026.
Request early access or learn how the platform supports finance-native AI workflows.