D&O Intelligence Graph & Network Analysis
Validated quantitative risk profiling across 78,269 governing officers. Analyzing statutory filing histories, insolvency exposure, and cross-border contagion vectors through applied network theory.
Officer Velocity (30D)
+66
Net mandate inflow · 30 days
Systemic Overboarding
1,247
Directors with ≥10 mandates
Insolvency Contagion Exposure
892
Linked to active insolvency
Validated Officer Corpus
78,269
Total officers validated
Ranked by validated quantitative model · Scoring Engine v1.0
| # | Director Name & Domicile | Active Mandates | Network Reach | Risk Score & Tier | Centrality | Firm-Specific Risk Flags |
|---|---|---|---|---|---|---|
| 10051 | Bertram Boortz Stäfa | 1 | 0 | — | 9 LOW | |
| 10052 | Jürg Zahler Hinterkappelen | 1 | 0 | — | 9 LOW | |
| 10053 | Soren Dalsgaard Stier Ribe | 1 | 0 | — | 9 LOW | |
| 10054 | Kristian Geert Jensen Zug | 1 | 0 | — | 9 LOW | |
| 10055 | Kujtim Kalludra Nürensdorf | 1 | 0 | — | 9 LOW | |
| 10056 | Joel Freitas Fernandes Zürich | 1 | 0 | — | 9 LOW | |
| 10057 | Celso Da Silva Fernandes Geroldswil | 1 | 0 | — | 9 LOW | |
| 10058 | Alessio Scriva Zürich | 1 | 0 | — | 9 LOW | |
| 10059 | Christian Schwinghammer Birmensdorf | 1 | 0 | — | 9 LOW | |
| 10060 | Stefan Menzi Zürich | 1 | 0 | — | 9 LOW | |
| 10061 | Andreas Menzi Wallisellen | 1 | 0 | — | 9 LOW | |
| 10062 | Sayanthini Ganesamoorthy Liebefeld | 1 | 0 | — | 9 LOW | |
| 10063 | Myrta Steiger Chur | 1 | 0 | — | 9 LOW | |
| 10064 | Marco Rezzonico Chiasso | 1 | 0 | — | 9 LOW | |
| 10065 | Göran Haferkorn | 1 | 0 | — | 9 LOW | |
| 10066 | Alberto Alessandro Pasciuti Savosa | 1 | 0 | — | 9 LOW | |
| 10067 | Stefano Sanchioni Laveno Mombello | 1 | 0 | — | 9 LOW | |
| 10068 | Armando Capellini Luino | 1 | 0 | — | 9 LOW | |
| 10069 | Fausto Loria Savosa | 1 | 0 | — | 9 LOW | |
| 10070 | Eray Gündüz Luzern | 1 | 0 | — | 9 LOW | |
| 10071 | Nancy Krüger Eriswil | 1 | 0 | — | 9 LOW | |
| 10072 | Domingas Schaffner Basel | 1 | 0 | — | 9 LOW | |
| 10073 | Ilona Kaufmann-Fischer Luzern | 1 | 0 | — | 9 LOW | |
| 10074 | Agim Shali Wangen an der Aare | 1 | 0 | — | 9 LOW | |
| 10075 | Luca Spalletta Zürich | 1 | 0 | — | 9 LOW | |
| 10076 | Francesco Rao Wigoltingen | 1 | 0 | — | 9 LOW | |
| 10077 | Nico Andreas Gehrig Zürich | 1 | 0 | — | 9 LOW | |
| 10078 | Beat Pfister Ennetbürgen | 1 | 0 | — | 9 LOW | |
| 10079 | Heinz Huber Opfikon | 1 | 0 | — | 9 LOW | |
| 10080 | Karen Ann Bennett Zuchwil | 1 | 0 | — | 9 LOW | |
| 10081 | Athos Cadola Feldbrunnen-St. Niklaus | 1 | 0 | — | 9 LOW | |
| 10082 | Velimir Ceko Wetzikon | 1 | 0 | — | 9 LOW | |
| 10083 | Thanh Vinh Truong Zürich | 1 | 0 | — | 9 LOW | |
| 10084 | Thi Ngoc Nga Truong-Luu Zürich | 1 | 0 | — | 9 LOW | |
| 10085 | Beat Gilomen Grenchen | 1 | 0 | — | 9 LOW | |
| 10086 | Marc Eggimann Olten | 1 | 0 | — | 9 LOW | |
| 10087 | Jörn Bertram Bremen | 1 | 0 | — | 9 LOW | |
| 10088 | Dusanka Ahrens Rüschlikon | 1 | 0 | — | 9 LOW | |
| 10089 | Simone Mairitsch Lupsingen | 1 | 0 | — | 9 LOW | |
| 10090 | Thomas Germann Liestal | 1 | 0 | — | 9 LOW | |
| 10091 | Milena Monika Rabstein-Kratzer Beringen | 1 | 0 | — | 9 LOW | |
| 10092 | Irena Kulis Beringen | 1 | 0 | — | 9 LOW | |
| 10093 | Jose Javier Garcia Gonzalez Schaffhausen | 1 | 0 | — | 9 LOW | |
| 10094 | Jadwiga Kuhn Birmensdorf | 1 | 0 | — | 9 LOW | |
| 10095 | Jadwiga Cervoni Birmensdorf ZH | 1 | 0 | — | 9 LOW | |
| 10096 | Gabriella Prokai Neerach | 1 | 0 | — | 9 LOW | |
| 10097 | Labinot Demaj Zürich | 1 | 0 | — | 9 LOW | |
| 10098 | Reto Gutmann Birmensdorf | 1 | 0 | — | 9 LOW | |
| 10099 | Rolf Lichtin Erlenbach | 1 | 0 | — | 9 LOW | |
| 10100 | Gabrielle Marti Salzmann Zürich | 1 | 0 | — | 9 LOW |