Регламент проверки контрагента в компании
Рассказываем, по каким причинам важно разработать внутренний документ проверки контрагента.
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LLC "NOVYYE OBLACHNYYE TEKHNOLOGII"
OGRN: 1147746237660
TIN: 7703807270
Active
Profile views
+18
last week
Subscribers
+0
last week
Company-related news
+4
last week
Computer programming activities
Monitoring
Notes
Reports
Contact information
₽1,87
billion, 2023
Revenue
₽-1 billion
CEO
Zakorzhevsky Vyacheslav Vladimirovich
99
Reliability Score
CEO
Zakorzhevsky Vyacheslav Vladimirovich
11
years
Established
March 7, 2014
City Innopolis
₽1,87
billion, 2023
Revenue
₽-1 billion
39
Connections
+0
last week
868
Employees
+0
last year
Stats Over Time
| Participation | Total number of cases | For the last year |
|---|---|---|
|
✖
Plaintiff
|
3 cases (▒▒▒▒▒ ₽) | 0 cases (▒▒▒▒▒ ₽) |
|
✖
Defendant
|
2 cases (▒▒▒▒▒ ₽) | 0 cases (▒▒▒▒▒ ₽) |
|
✖
Third party
|
1 case (▒▒▒▒▒ ₽) | 0 cases (▒▒▒▒▒ ₽) |
|
✖
Other party
|
No cases as other party |
Positive outcome — ▒▒%
▒▒▒▒▒₽
- 1 case (▒▒▒▒▒ ₽) won
- 0 cases (▒▒▒▒▒ ₽) partially won
- 0 cases (▒▒▒▒▒ ₽) not lost
Negative outcome — ▒▒%
▒▒▒▒▒₽
- 1 case (▒▒▒▒▒ ₽) lost
- 0 cases (▒▒▒▒▒ ₽) partially lost
- 1 case (▒▒▒▒▒ ₽) not won
Type of dispute
0%
Administrative
0%
Civil
0%
Bankruptcy-related
0%
Other
Completed cases
As plaintiff (3)
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 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!
