Регламент проверки контрагента в компании
Рассказываем, по каким причинам важно разработать внутренний документ проверки контрагента.
Details
FGAOU VO "URFU NAMED AFTER PERVOGO PREZIDENTA ROSSII B. N. YELTSINA", URAL FEDERAL UNIVERSITY, URFA, URAL FEDERAL UNIVERSITY NAMED AFTER PERVOGO PRESIDENT ROSSII B. N. YELTSINA
Sverdlovsk Region
OGRN: 1026604939855
TIN: 6660003190
Active
Profile views
21,160
+94 last week
Subscribers
11
+0 last week
Company-related news
581
-25 last week
OKVED2 85.22 Total: 151
Higher education
Monitoring Notes Reports Contact information
₽1,59
billion, 2010
Revenue
+₽2 billion
Chancellor
Koksharov Viktor Anatolievich
94
Reliability Score
JavaScript chart by amCharts 3.21.1
Chancellor
Koksharov Viktor Anatolievich
30
years
Established
April 6, 1994
City Yekaterinburg
₽1,59
billion, 2010
Revenue
+₽2 billion
3 920
Connections
+0 last week
Employees
No data

Tourist Facilities

Has 1 active tourist facility.

Hotels and other places of accomodation

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  • Serial number: ▒▒▒▒▒▒▒▒▒
  • Category: Без звезд
  • Object's address: ▒▒▒▒▒▒▒ ▒▒ ▒▒▒▒▒▒▒▒▒▒▒▒▒ ▒▒▒ ▒▒▒▒▒▒▒▒▒ ▒▒▒▒▒▒▒▒▒▒ ▒▒▒▒▒▒▒▒▒▒▒▒▒ ▒▒▒▒▒▒▒
  • Certificate registration number: ▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒
  • Order issue date: ▒▒.▒▒.2024
  • Expiration date: ▒▒.▒▒.2027
Data sources Information about tourist facilities of companies 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 tourist facilities of companies 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!