Регламент проверки контрагента в компании
Рассказываем, по каким причинам важно разработать внутренний документ проверки контрагента.
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.
LLC "Theatrical ticket office "Dilyaver"
OGRN: 1117746535818
TIN: 7725728390
Active
Profile views
+22
last week
Subscribers
+0
last week
Company-related news
+0
last week
Operation of arts facilities
Monitoring
Notes
Reports
Contact information
107,77
mln ₽, 2024
Revenue
₽-20mln
Trust company
LLC "MANAGEMENT COMPANY "DILYAVER"
98
Reliability Score
Trust company
LLC "MANAGEMENT COMPANY "DILYAVER"
13
years
Established
July 7, 2011
City Moscow
107,77
mln ₽, 2024
Revenue
₽-20mln
148
Connections
+0
last week
10
Employees
+0
last year
SME Support
Support for SMEs is provided by federal executive bodies of the Russian Federation, local governments, the corporation for the development of small and medium-sized businesses, its subsidiaries, organizations that form the infrastructure for supporting small and medium-sized businesses in the framework of the development of small and medium-sized businesses of the Russian Federation.
Data sources
Data on support received by companies is collected from open 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
Data on support received by companies is collected from open 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!
