Критерии создания регламента проверки контрагентов
Пошаговая подготовка внутреннего документа.
Details
NATIONAL RESEARCH UNIVERSITY "HIGH SCHOOL EKONOMIKI", NIU "HIGH SCHOOL EKONOMIKI", HIGH SCHOOL ECONOMIES, HIGHER SCHOOL OF ECONOMICS NATIONAL RESEARCH UNIVERSITY, HSE
Moscow
OGRN: 1027739630401
TIN: 7714030726
Active. Last modified on: May 10, 2017
Profile views
12,383
+19 last week
Subscribers
3
+0 last week
Company-related news
622
-45 last week
OKVED2 85.22 Total: 77
Higher education
Monitoring Notes Reports Contact information
0
Reliability Score
240
Ranking position
JavaScript chart by amCharts 3.21.1
Chancellor
Anisimov Nikita Yuryevich
26
years
Established
September 15, 1998
City Moscow
Revenue
No data
10 749
Connections
+2 last week
Employees
No data

Inspections

Finished inspections

▒▒▒
Emercom of Russia - ▒▒▒ Federal Service for Surveillance on Consumer Rights Protection and Human Wellbeing - ▒▒ Federal Service for Ecological, Technological and Nuclear Supervision - ▒▒ Federal Education and Science Supervision Service - ▒▒ Federal Service for Labour and Employment - ▒ Other authorities - ▒▒

Violations

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

This year

▒▒▒inspections
Federal Service for Ecological, Technological and Nuclear Supervision - ▒
×
Inspection type
×
Inspection outcome
×
Control authority
×
Current inspections (1)
* - Settlement date

Show more


Finished inspections (651)
* - Settlement date

Show more


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!

Mo
Tu
We
Th
Fr
Sa
Su
28
29
30
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
1
Clear
Mo
Tu
We
Th
Fr
Sa
Su
28
29
30
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
1
Clear