Регламент проверки контрагента в компании
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Details
FGAOU VO PERVY MGMU NAMED AFTER I. M. SECHENOVA MINZDRAVA RUSSIA (SECHENOVSKY UNIVERSITY)
Moscow
OGRN: 1027739291580
TIN: 7704047505
Active. Last modified on: January 16, 2018
Profile views
15,619
+31 last week
Subscribers
1
+0 last week
Company-related news
307
+23 last week
OKVED2 85.22 Total: 62
Higher education
Monitoring Notes Reports Contact information
45
Reliability Score
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Chancellor
Glybochko Petr Vitalievich
32
years
Established
January 13, 1993
City Moscow
Revenue
No data
3 547
Connections
+0 last week
Employees
No data

Inspections

Finished inspections

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Emercom of Russia - ▒▒ Federal Service for Surveillance in Healthcare - ▒▒ Federal Service for Surveillance on Consumer Rights Protection and Human Wellbeing - ▒▒ Federal Service for Ecological, Technological and Nuclear Supervision - ▒▒ Federal Service for Monitoring Compliance with Cultural Heritage Protection and Communications Law - ▒▒ Other authorities - ▒▒

Violations

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Emercom of Russia - ▒▒ Federal Service for Monitoring Compliance with Cultural Heritage Protection and Communications Law - ▒▒ Federal Biomedical Agency of Russia - ▒ Federal Service for Surveillance on Consumer Rights Protection and Human Wellbeing - ▒ Federal Service for Surveillance in Healthcare - ▒ Other authorities - ▒

This year

▒▒▒inspections
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Inspection type
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Inspection outcome
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Control authority
×
Current inspections (1)
* - Settlement date

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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!

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