Критерии создания регламента проверки контрагентов
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Saint Petersburg city State public institution PSS of the Saint Petersburg city
OGRN: 1087847034065
TIN: 7805481814
Active
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Activities to ensure safety in emergency situations; activities to ensure safety in the use of atomic energy
Monitoring
Notes
Reports
Contact information
Revenue
No data
Chief
Danchuk Yury Leontyevich
34
Reliability Score
Chief
Danchuk Yury Leontyevich
16
years
Established
December 26, 2008
City Saint Petersburg
Revenue
No data
800
Connections
+1
last week
Employees
No data
Stats Over Time
| Participation | Total number of cases | For the last year |
|---|---|---|
|
✖
Plaintiff
|
29 cases (▒▒▒▒▒ ₽) | 5 cases (▒▒▒▒▒ ₽) |
|
✖
Defendant
|
23 cases (▒▒▒▒▒ ₽) | 3 cases (▒▒▒▒▒ ₽) |
|
✖
Third party
|
7 cases (▒▒▒▒▒ ₽) | 0 cases (▒▒▒▒▒ ₽) |
|
✖
Other party
|
2 cases (▒▒▒▒▒ ₽) | 0 cases (▒▒▒▒▒ ₽) |
Positive outcome — ▒▒%
▒▒▒▒▒₽
- 4 cases (▒▒▒▒▒ ₽) won
- 3 cases (▒▒▒▒▒ ₽) partially won
- 7 cases (▒▒▒▒▒ ₽) not lost
Negative outcome — ▒▒%
▒▒▒▒▒₽
- 3 cases (▒▒▒▒▒ ₽) lost
- 3 cases (▒▒▒▒▒ ₽) partially lost
- 2 cases (▒▒▒▒▒ ₽) not won
Type of dispute
%
Administrative
%
Civil
%
Bankruptcy-related
%
Other
Current cases
As plaintiff (1)
Claims amount: ▒▒▒▒▒ ₽
Date/Number
Complexity
Object
Plaintiff
Defendant
Instance
Claim amount
As defendant (2)
Claims amount: ▒▒▒▒▒ ₽
Date/Number
Complexity
Object
Plaintiff
Defendant
Instance
Claim amount
As other party (1)
Claims amount: ▒▒▒▒▒ ₽
Date/Number
Complexity
Object
Plaintiff
Defendant
Instance
Claim amount
Completed cases
As plaintiff (28)
Claims amount: ▒▒▒▒▒ ₽
Date/Number
Complexity
Object
Plaintiff
Defendant
Instance
Claim amount
As defendant (21)
Claims amount: ▒▒▒▒▒ ₽
Date/Number
Complexity
Object
Plaintiff
Defendant
Instance
Claim amount
As third party (7)
Claims amount: ▒▒▒▒▒ ₽
Date/Number
Complexity
Object
Plaintiff
Defendant
Instance
Claim amount
As other 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!
