Критерии создания регламента проверки контрагентов
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Details
Prefecture of the administrative district Vostochny administrativny of Moscow city
Moscow
OGRN: 1027700559127
TIN: 7718112909
Active
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OKVED2 84.11.22
Activities of public authorities of subjects of the Russian Federation for implementation of the powers in the cities and areas
Monitoring Notes Reports Contact information
31
Reliability Score
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Other official
Aleshin Nikolai Vladimirovich
29
years
Established
August 28, 1995
City Moscow
Revenue
No data
2 122
Connections
+0 last week
Employees
No data

Litigation

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Stats Over Time

Participation Total number of cases For the last year
Plaintiff
828 cases (▒▒▒▒▒ ₽) 2 cases (▒▒▒▒▒ ₽)
Defendant
232 cases (▒▒▒▒▒ ₽) 3 cases (▒▒▒▒▒ ₽)
Third party
491 cases (▒▒▒▒▒ ₽) 6 cases (▒▒▒▒▒ ₽)
Other party
16 cases (▒▒▒▒▒ ₽) 0 cases (▒▒▒▒▒ ₽)

Positive outcome — ▒▒%

▒▒▒▒▒
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  • 307 cases (▒▒▒▒▒ ₽) won
  • 51 cases (▒▒▒▒▒ ₽) partially won
  • 87 cases (▒▒▒▒▒ ₽) not lost

Negative outcome — ▒▒%

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Under consideration — ▒%

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Undefined — ▒▒%

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Type of dispute

%
Administrative
%
Civil
%
Bankruptcy-related
%
Other
×
Claim amount
×
Type of dispute
×
Outcome of case
×

Current cases

As defendant (2)
Claims amount: ▒▒▒▒▒ ₽
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Complexity
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As third party (6)
Claims amount: ▒▒▒▒▒ ₽
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As other party (1)
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Completed cases

As plaintiff (828)
Claims amount: ▒▒▒▒▒ ₽
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As defendant (230)
Claims amount: ▒▒▒▒▒ ₽
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Defendant
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As third party (485)
Claims amount: ▒▒▒▒▒ ₽
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As other party (15)
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Defendant
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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!

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