Principal Investigator: Angelica Sbardella

Researcher Coordination Unit: Angelica Sbardella, Andrea Tacchella

Postdoc researchers: Massimiliano Fessina, Lorenzo Tortora

The project “RT3 reSRight Tech, Right Team, Right Time: Data-driven prediction of startup success and exit” aims to develop an analytical framework to assess the innovative potential of startups and predict their trajectories of growth, success, or failure. The research combines diverse information sources—such as public source code repositories, collaborative development platforms, scientific publications, patents, and startup databases—to simultaneously analyze the technological dimension, human capital, and investment networks. By utilizing Large Language Models, network analysis tools, and predictive models, the project examines how technological originality, founders’ expertise, the circulation of know-how, and investor choices impact business outcomes, acquisitions, IPOs, and the risk of failure. The ultimate goal is to build transparent indicators and replicable tools to identify high-potential startups and detect emerging technological trajectories early on.

Funding source: Forward Partners SARL-S (Private research funding)

Project start and end date:  25/11/2025 – 24/11/2026

CUP: F83C25001280007

Funding amount: € 100.000,00