The project at a glance
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Start date:01 Nov 2024
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Duration in months:36
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Funding:Ministry of Economy
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Principal Investigator(s):Gilbert FRIDGENChristian FISCH
About
The project aims to create the first AI-driven entrepreneurship mentor that leverages the extensive availability of public data that comes from investment crowdfunding markets. Built on top of WIXDOM, the first Global Crowdfunding Search Engine, the AI mentor will provide personalised advice to SMEs based on the continuous feedback of thousands of startups raising funds in public markets. With the advent of large language models (LLMs), labelled data is in increasing demand. This has heated the interest in financial data providers, as a key differentiator of the use of LLMs will be the ability to feed and train them on high-quality proprietary data. WIXDOM as a pioneer in the monitoring of the investment crowdfunding market, is excellently positioned as a primary example of an independent data provider able to exploit LLMs within a context-specific purpose: entrepreneurship. By the end of this R&D project, we expect WIXDOM to offer entrepreneurs a one-stop platform for business decision-making and innovation. Furthermore, the increase in transparency in the crowdfunding market will allow retail and institutional investors alike to monitor investment opportunities worldwide within a single platform. In turn, this will help achieve the project’s second objective: making WIXDOM the de-facto entrepreneurship social network for retail investors, becoming in essence the distributor channel of a new asset class for institutional investors, from Luxembourg to the world.
Project team
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Gilbert FRIDGEN
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Christian FISCH
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Muriel-Larissa FRANK
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Nils MESSERSCHMIDT
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Ayse Nur ASYALI
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Álvaro Rezola
WIXDOM
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Paul Kuhle
WIXDOM
Organisation and Partners
- Digital Financial Services and Cross-Organisational Digital Transformations Research Group (FINATRAX)
- Entrepreneurship, Innovation, and New Technology (EINT)
- Interdisciplinary Centre for Security, Reliability and Trust (SnT)
Keywords
- Crowdfunding Investments
- Digital Entrepreneurship
- Large Language Models