Критерии создания регламента проверки контрагентов
Пошаговая подготовка внутреннего документа.
Subscription required
Hidden information is available only to subscribed users. Purchase a subscription to get full access to the service.
Buy
Subscription required
Available with the 1-month and 1-year subscription.
PUBLICLY FUNDED INSTITUTION "KHANTY-MANSIYSKAYA STATE MEDICAL ACADEMY"
OGRN: 1028600513039
TIN: 8601014919
Active
Profile views
+10
last week
Subscribers
+0
last week
Company-related news
+-0
last week
Higher education
Monitoring
Notes
Reports
Contact information
Revenue
No data
Acting as Chancellor
Nekhorosheva Aleksandra Viktorovna
9
Reliability Score
Acting as Chancellor
Nekhorosheva Aleksandra Viktorovna
25
years
Established
December 29, 1999
City Khanty-Mansiysk
Revenue
No data
533
Connections
+0
last week
Employees
No data
Inspections
Finished inspections
▒▒▒
Federal Service for Labour and Employment - ▒
Federal Education and Science Supervision Service - ▒
Emercom of Russia - ▒
Federal Service for Ecological, Technological and Nuclear Supervision - ▒
Federal Migration Service of Russia - ▒
Other authorities - ▒
Violations
▒▒▒
Federal Education and Science Supervision Service - ▒
This year
▒▒▒inspections
Finished inspections (48)
Data sources
Information about company's scheduled inspections 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's scheduled inspections 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!
