CEO
PhD researcher at the University of Turin's Department of Economics and Statistics. He works on data-driven conflict monitoring: early warning, anomaly detection, violence indices and explainable AI, including the VIEWS prediction challenge on armed-conflict fatalities.
Chairman
Professor of Economics and Innovation Management at the University of Turin. She was Italy's Minister for Technological Innovation and Digitalisation (2019–2021) and directs the HighEst Lab network of AI laboratories. She co-founded Deeplomacy.
COO
PhD researcher and data scientist at the University of Turin. He co-authored “Breaking the trend”, the anomaly-detection early-warning model for socio-political unrest published in Technological Forecasting and Social Change (2024).
Full-Stack Developer
Eight years of experience, six of them in consulting and enterprise development for major companies such as HP Italia, Entain and Nexi. Now brings that background to geopolitical risk, so that institutions and companies can act on early warnings with confidence.
Newsroom
Rai’s “Pillole di Età Beta” features the AI that reads the invisible signals of conflict.
Apr 2, 2026
How Deeplomacy’s AI reads the early signals of future conflicts from open data.
Mar 26, 2026
The University of Turin spin-off monitoring diplomatic events and geopolitical risk across 200+ countries in real time.
Mar 1, 2026
How an academic exercise that flagged the war in Ukraine months early grew into a geopolitical-intelligence startup.
Nov 13, 2025
How we turned complex signals into a clear, accountable visual system — Eye + Switch, atmospheric halos, and a calm, precise voice.
Nov 12, 2025
Deeplomacy uses AI and machine learning to forecast geopolitical crises and escalations weeks in advance.
Dec 24, 2024
