Machine Learning-Aided Startup Investing (MALASI) (MALASI)
Beschreibung
The venture capital (VC) industry faces challenges with excess capital to be invested into startups and globalization of its business. VC thought leaders foresee a more global, transparent and AI-supported investment decision-taking approach as potential differentiator for VC firms. Raized.ai builds and offers domain-specific solutions as needed for such approaches. Distribution is via a fee-based subscription model and a web app, which allows direct access to Raized.ai data. Our solution gives investors earlier access to investment opportunities and increases efficiency in the deal sourcing process.Today, Raized.ai successfully offers its first product “Startup Discovery” to European VCs. This confirmed the viability of AI technology in the context of deal sourcing. We plan to extend the offering into a fully fledged deal sourcing solution to unlock further growth opportunities by adding “Startup Explorer” & “Startup Prediction”.
Eckdaten
Projektleitung
Stellv. Projektleitung
Projektpartner
Raized.AI AG
Projektstatus
abgeschlossen, 07/2021 - 12/2022
Institut/Zentrum
Institut für Datenanalyse und Prozessdesign (IDP)
Drittmittelgeber
Innovationsprojekt / Projekt Nr. 53126.1 IP-ICT
Publikationen
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Making it into a successful series a funding : an analysis of Crunchbase and LinkedIn data
2023 Te, Yiea-Funk; Wieland, Michèle; Frey, Martin; Pyatigorskaya, Asya; Schiffer, Penny; Grabner, Helmut
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Mitigating discriminatory biases in success prediction models for venture capitals
2023 Te, Yiea-Funk; Wieland, Michèle; Frey, Martin; Grabner, Helmut