Регламент проверки контрагента в компании
Рассказываем, по каким причинам важно разработать внутренний документ проверки контрагента.
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LLC VHI Consulting
OGRN: 1075404025509
TIN: 5404337873
Excluded from EGRUL on December 20, 2016
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Computer programming, consultancy and related activities
Monitoring
Notes
Reports
Contact information
1,55
mln ₽, 2011
Revenue
₽-150k
Director
Pyanykh Viktor Yuryevich
Director
Pyanykh Viktor Yuryevich
9
years
Established
September 12, 2007
City Novosibirsk
1,55
mln ₽, 2011
Revenue
₽-150k
15
Connections
+0
last week
Employees
No data
Stats Over Time
| Participation | Total number of cases | For the last year |
|---|---|---|
|
✖
Plaintiff
|
No cases as plaintiff | |
|
✖
Defendant
|
No cases as defendant | |
|
✖
Third party
|
1 case (▒▒▒▒▒ ₽) | 0 cases (▒▒▒▒▒ ₽) |
|
✖
Other party
|
No cases as other party |
Positive outcome — ▒%
▒▒▒▒▒₽
- 0 cases (▒▒▒▒▒ ₽) won
- 0 cases (▒▒▒▒▒ ₽) partially won
- 0 cases (▒▒▒▒▒ ₽) not lost
Negative outcome — ▒%
▒▒▒▒▒₽
- 0 cases (▒▒▒▒▒ ₽) lost
- 0 cases (▒▒▒▒▒ ₽) partially lost
- 0 cases (▒▒▒▒▒ ₽) not won
Type of dispute
%
Administrative
%
Civil
%
Bankruptcy-related
%
Other
Completed cases
As third party (1)
Claims amount: ▒▒▒▒▒ ₽
Date/Number
Complexity
Object
Plaintiff
Defendant
Instance
Claim amount
Data sources
Information about company arbitration cases is collected from public sources.
Accurate binding to a company can be created only if the information source contains its TIN and OGRN values. If identification details are not specified, the binding is created by using linguistic algorithms. Although these algorithms are being constantly improved, some information may be absent.
If you have noticed an error or lack of information, please let us know about it. Let's improve Seldon.Basis together!
Data sources
Information about company arbitration cases is collected from public sources.
Accurate binding to a company can be created only if the information source contains its TIN and OGRN values. If identification details are not specified, the binding is created by using linguistic algorithms. Although these algorithms are being constantly improved, some information may be absent.
If you have noticed an error or lack of information, please let us know about it. Let's improve Seldon.Basis together!
