Moscow, Russia

Smart Engines Service LLC


USPTO Granted Patents = 22

Forward Citations = 10

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32 inventors (with patents filed for the assignee):

goldMedal Vladimir Viktorovich Arlazarov (17 out of 17 patents)

silverMedal Dmitry Petrovich Nikolaev (15 out of 16 patents)

bronzeMedal Konstantin Bulatovich Bulatov (7 out of 7 patents)

4.  Natalya Sergeevna Skoryukina (5 out of 5 patents)

5.  Marina Valerievna Chukalina (5 out of 5 patents)

6.  Elena Evgenyevna Limonova (4 out of 4 patents)

7.  Sergey Aleksandrovich Usilin (3 out of 3 patents)

8.  Oleg Anatolyevitch Slavin (2 out of 2 patents)

9.  Alexander Vladimirovich Sheshkus (2 out of 2 patents)

10.  Vladimir L'vovich Arlazarov (2 out of 2 patents)

11.  Alexey Vladimirovich Buzmakov (2 out of 2 patents)

12.  Anastasia Sergeevna Ingacheva (2 out of 2 patents)

13.  Daniil Vyacheslavovich Tropin (2 out of 2 patents)

14.  Timofey Sergeevich Chernov (1 out of 1 patent)

15.  Igor Aleksandrovich Faradjev (1 out of 1 patent)


22 patents:

Company Overview
Smart Engines Service LLC is a technology company based in Moscow, specializing in advanced optical character recognition (OCR) and image processing solutions. The organization focuses on developing innovative software that enhances data extraction and document management across various industries. With a strong emphasis on artificial intelligence and machine learning, Smart Engines aims to streamline workflows and improve efficiency in handling textual data, catering to both local and international markets.
Profile summary synthesized from public USPTO records and patent filings.

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USPTO Data Jan 1 1976 - Oct 20 2026

22 Patents

#5 in Moscow

#7 in Russia

#28,807 in the World

Moscow, RU
Moscow, Russia
Forward Citations = 10

32 inventors:

IDiyas Innovation Intelligence. (2026). Company Patent Portfolio: Smart Engines Service LLC. Retrieved from https://idiyas.com/company/smart-engines-service

Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile

Data Sources: USPTO Patent Grant XML, Patent Center, EPO & CIPO • Normalized by IDiyas Innovation Graph. Methodology & provenance architecturePlease report any incorrect information to [email protected]
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