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)
+77
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 |
|---|---|---|---|---|---|---|
| 5001 | Patrick Thoma Zuzwil | 1 | 0 | — | 9 LOW | |
| 5002 | Dylan Giannini Pregassona | 1 | 0 | — | 9 LOW | |
| 5003 | Stefan Grütter Illnau-Effretikon | 1 | 0 | — | 9 LOW | |
| 5004 | Lino Stoessel Herrliberg | 1 | 0 | — | 9 LOW | |
| 5005 | Maurizio Vanoni Germignaga | 1 | 0 | — | 9 LOW | |
| 5006 | Mario Vanoni Montegrino-Valtravaglia | 1 | 0 | — | 9 LOW | |
| 5007 | Michele Valoti Massagno | 1 | 0 | — | 9 LOW | |
| 5008 | Massimiliano Vanoni Montegrino-Valtravaglia | 1 | 0 | — | 9 LOW | |
| 5009 | James Mossi S. Pietro | 1 | 0 | — | 9 LOW | |
| 5010 | Manuela Feloj S. Pietro | 1 | 0 | — | 9 LOW | |
| 5011 | Hans-Peter Vögtli Muttenz | 1 | 0 | — | 9 LOW | |
| 5012 | Silvia Benkert Lindau | 1 | 0 | — | 9 LOW | |
| 5013 | Monika Tallowitz Bassersdorf | 1 | 0 | — | 9 LOW | |
| 5014 | Claudia Hofstetter Steinhausen | 1 | 0 | — | 9 LOW | |
| 5015 | Brigitte Breitenstein Diegten | 1 | 0 | — | 9 LOW | |
| 5016 | Patricia Breitenstein Lostorf | 1 | 0 | — | 9 LOW | |
| 5017 | Christoph Lenggenhager Fehraltorf | 1 | 0 | — | 9 LOW | |
| 5018 | Urs Prantl Fislisbach | 1 | 0 | — | 9 LOW | |
| 5019 | Philipp Hollerer Zürich | 1 | 0 | — | 9 LOW | |
| 5020 | Matthias Naber Zürich | 1 | 0 | — | 9 LOW | |
| 5021 | Charles Furter Schönenwerd | 1 | 0 | — | 9 LOW | |
| 5022 | Dominik Frauchiger Stüsslingen | 1 | 0 | — | 9 LOW | |
| 5023 | Christoph Kuster Seewen | 1 | 0 | — | 9 LOW | |
| 5024 | Nicolas Jean Daniel Graf Rickenbach | 1 | 0 | — | 9 LOW | |
| 5025 | Robert Heeb Trimmis | 1 | 0 | — | 9 LOW | |
| 5026 | Stefan Georg Engler Albula/Alvra | 1 | 0 | — | 9 LOW | |
| 5027 | Max Theodor Herzig Sissach | 1 | 0 | — | 9 LOW | |
| 5028 | Paul Thalmann Chur | 1 | 0 | — | 9 LOW | |
| 5029 | Peter Wetzel Basel | 1 | 0 | — | 9 LOW | |
| 5030 | Thomas Kaspar Freuler Zürich | 1 | 0 | — | 9 LOW | |
| 5031 | Oliver Zell Hofstetten-Flüh | 1 | 0 | — | 9 LOW | |
| 5032 | Josef Daniel Kuen Luzern | 1 | 0 | — | 9 LOW | |
| 5033 | Lukas Müller Zug | 1 | 0 | — | 9 LOW | |
| 5034 | Alejandro Prieto-Moreno Zug | 1 | 0 | — | 9 LOW | |
| 5035 | Marc Höltschi Baar | 1 | 0 | — | 9 LOW | |
| 5036 | Marta Lopez Zug | 1 | 0 | — | 9 LOW | |
| 5037 | Peter Haas Werthenstein | 1 | 0 | — | 9 LOW | |
| 5038 | Bruno Röösli Inwil | 1 | 0 | — | 9 LOW | |
| 5039 | Markus Bürgenmeier Meggen | 1 | 0 | — | 9 LOW | |
| 5040 | Bruno Guggenheim Zürich | 1 | 0 | — | 9 LOW | |
| 5041 | Nechama Guggenheim Zürich | 1 | 0 | — | 9 LOW | |
| 5042 | Daniel Nguyen St. Gallen | 1 | 0 | — | 9 LOW | |
| 5043 | Barna Kovacs Zürich | 1 | 0 | — | 9 LOW | |
| 5044 | Nora Kovacs Zürich | 1 | 0 | — | 9 LOW | |
| 5045 | Stefan Wüst Fischbach-Göslikon | 1 | 0 | — | 9 LOW | |
| 5046 | Beat Schneuwly Liebistorf | 1 | 0 | — | 9 LOW | |
| 5047 | Maya Prachar Bern | 1 | 0 | — | 9 LOW | |
| 5048 | Stephan Rüegg Zürich | 1 | 0 | — | 9 LOW | |
| 5049 | Srishankar Paskaradas Zürich | 1 | 0 | — | 9 LOW | |
| 5050 | David Müller Rütschelen | 1 | 0 | — | 9 LOW |