D&O Intelligence Graph & Network Analysis
Validated quantitative risk profiling across 78,263 governing officers. Analyzing statutory filing histories, insolvency exposure, and cross-border contagion vectors through applied network theory.
Officer Velocity (30D)
+90
Net mandate inflow · 30 days
Systemic Overboarding
1,247
Directors with ≥10 mandates
Insolvency Contagion Exposure
892
Linked to active insolvency
Validated Officer Corpus
78,263
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 |
|---|---|---|---|---|---|---|
| 5051 | Ana Fischer Bärschwil | 1 | 0 | — | 9 LOW | |
| 5052 | Rene Wüst Zürich | 1 | 0 | — | 9 LOW | |
| 5053 | Krystyna Wlizlo Basel | 1 | 0 | — | 9 LOW | |
| 5054 | Otto Fischer Möriken-Wildegg | 1 | 0 | — | 9 LOW | |
| 5055 | Alain Lardon Schöftland | 1 | 0 | — | 9 LOW | |
| 5056 | Oliver Stoldt Neerach | 1 | 0 | — | 9 LOW | |
| 5057 | Andrea Veneziano Buchs | 1 | 0 | — | 9 LOW | |
| 5058 | Eldon Ponik Weinfelden | 1 | 0 | — | 9 LOW | |
| 5059 | Naser Bajrami Oberuzwil | 1 | 0 | — | 9 LOW | |
| 5060 | Ivan Wissler Bern | 1 | 0 | — | 9 LOW | |
| 5061 | Kai Wissler Bern | 1 | 0 | — | 9 LOW | |
| 5062 | Bernhard Wissler Bern | 1 | 0 | — | 9 LOW | |
| 5063 | Caroline Hammervold Caillot Bern | 1 | 0 | — | 9 LOW | |
| 5064 | Maite Siebert Bern | 1 | 0 | — | 9 LOW | |
| 5065 | Simone Marti Bern | 1 | 0 | — | 9 LOW | |
| 5066 | Claudia Jobe Kunfermann Bern | 1 | 0 | — | 9 LOW | |
| 5067 | Edon Haliti Flums | 1 | 0 | — | 9 LOW | |
| 5068 | Heinrich Lauwiner Ried-Brig | 1 | 0 | — | 9 LOW | |
| 5069 | Philipp Peter Bern | 1 | 0 | — | 9 LOW | |
| 5070 | Bernhard Adolf Augsburger Brig-Glis | 1 | 0 | — | 9 LOW | |
| 5071 | Himzo Klicic Berneck | 1 | 0 | — | 9 LOW | |
| 5072 | Jonathan Stanford Breganzona | 1 | 0 | — | 9 LOW | |
| 5073 | Katalin Rakitnik Uznach | 1 | 0 | — | 9 LOW | |
| 5074 | Nicola Bernasconi Carabietta | 1 | 0 | — | 9 LOW | |
| 5075 | Debora Aeschlimann Oberdorf | 1 | 0 | — | 9 LOW | |
| 5076 | Emil Roth Zürich | 1 | 0 | — | 9 LOW | |
| 5077 | Joel Wyss Zürich | 1 | 0 | — | 9 LOW | |
| 5078 | Simon Seyer Schönried | 1 | 0 | — | 9 LOW | |
| 5079 | Yulia Haemmerle Fischenthal | 1 | 0 | — | 9 LOW | |
| 5080 | Erika Stadelmann Zemp Luzern | 1 | 0 | — | 9 LOW | |
| 5081 | Matthias Zemp Luzern | 1 | 0 | — | 9 LOW | |
| 5082 | Justin Connor Uras Muttenz | 1 | 0 | — | 9 LOW | |
| 5083 | Yiming Li Zurzach | 1 | 0 | — | 9 LOW | |
| 5084 | Gong Cheng Illnau-Effretikon | 1 | 0 | — | 9 LOW | |
| 5085 | Benjamin Schiltz Niederbuchsiten | 1 | 0 | — | 9 LOW | |
| 5086 | Roger Blum Menznau | 1 | 0 | — | 9 LOW | |
| 5087 | Nic Macerola Oberburg | 1 | 0 | — | 9 LOW | |
| 5088 | Rahul Sharma Oberburg | 1 | 0 | — | 9 LOW | |
| 5089 | Shalimar Gebert Maur | 1 | 0 | — | 9 LOW | |
| 5090 | Nehat Etemi Uster | 1 | 0 | — | 9 LOW | |
| 5091 | Nusret Etemi Volketswil | 1 | 0 | — | 9 LOW | |
| 5092 | Rebecca Doll Flims | 1 | 0 | — | 9 LOW | |
| 5093 | Wolfgang Rüf Dornbirn | 1 | 0 | — | 9 LOW | |
| 5094 | Roberta Pavese Agno | 1 | 0 | — | 9 LOW | |
| 5095 | Dmitry Ivanov Zollikon | 1 | 0 | — | 9 LOW | |
| 5096 | Kirill Derkovskiy Walchwil | 1 | 0 | — | 9 LOW | |
| 5097 | Maxim Alenov Zug | 1 | 0 | — | 9 LOW | |
| 5098 | Cecil Maswanganyi Sandton | 1 | 0 | — | 9 LOW | |
| 5099 | Werner Fuls Centurion | 1 | 0 | — | 9 LOW | |
| 5100 | Marco Musetti Zug | 1 | 0 | — | 9 LOW |