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Schaffhausen, Switzerland

Constructor Technology Ag

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USPTO Granted Patents = 30

Forward Citations = 1

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55 inventors (with patents filed for the assignee):

Stanislav Protasov (28 out of 144 patents)

Serg Bell (28 out of 103 patents)

Nikolay Dobrovolskiy (18 out of 18 patents)

4. Sergey Ulasen (13 out of 28 patents)

5. Laurent Dedenis (12 out of 12 patents)

6. Alexander Tormasov (9 out of 13 patents)

7. Ilya Shimchik (7 out of 7 patents)

8. Andrei Boiarov (5 out of 5 patents)

9. Ruslan Mustafin (5 out of 5 patents)

10. Maksim Filipenko (5 out of 5 patents)

11. Laurent Dedenis (4 out of 7 patents)

12. Ilya Shimchik (4 out of 4 patents)

13. Andrey Ustyuzhanin (4 out of 6 patents)

14. Aleksandr Buival (3 out of 3 patents)

15. Ilya Baimetov (2 out of 6 patents)

Core Competencies:

Autonomous Racing

Machine Learning

Data Visualization

Avatar Creation

Hybrid Engagement

Proctoring Systems

Real-Time Interaction

Image Quality Enhancement

Homomorphic Encryption

Video Summarization

Path Planning

E-Learning

30 patents: Sort by Forward Citations

1. 12775654 - System and method database generation for automated scientific inquiry using machine learning (2026-10-27),

2. 12763174 - Sparse representation for machine learning the properties of defects in 2D materials (2026-10-13),

3. 12759585 - Multi-layered approach for path planning and its execution for autonomous cars (2026-10-13),

4. 12748799 - System and method for hypothesis and research synthesis using machine learning (2026-09-29),

5. 12746925 - Overtaking orchestration system for autonomous racing (2026-09-29),

6. 12744946 - Machine-learning based method for assessing hybrid in-person and remote audience member engagement (2026-09-22),

7. 12743439 - Systems and methods for multidimensional data structuring and visualization (2026-09-22),

8. 12738175 - Systems and methods for proctoring and updating courses using machine learning (2026-09-15),

9. 12731316 - Generating a realistic animated avatar of a user in real-time during a teleconference (2026-09-08),

10. 12711874 - SYSTEMS AND METHODS OF AUTOMATICALLY ADDING ACTIVE LISTENING MICRO-SCENARIOS DURING LEARNING SESSION (2026-08-18),

11. 12698000 - Systems and methods for training a camera-based perception model using machine learning (2026-08-04),

12. 12694073 - Providing large language model embeddings using clusters and dictionaries (2026-07-28),

13. 12683759 - Fully homomorphic encryption (FHE) and partially homomorphic encryption (PHE) in distributed 1-bit large language model (LLM) architecture (2026-07-14),

14. 12682409 - Provision of a tip regarding student conduct (2026-07-14),

15. 12670160 - Aggregation of a plurality of artificial intelligence knowledge models (2026-06-30),

Company Overview

Constructor Technology AG is a technology company based in Schaffhausen, Switzerland, specializing in advanced software solutions for the construction and real estate sectors. The organization focuses on developing innovative tools that enhance project management, streamline workflows, and improve collaboration among stakeholders. With a commitment to leveraging cutting-edge technology, Constructor Technology AG aims to transform traditional practices in the industry, promoting efficiency and sustainability in construction processes.

Profile summary synthesized from public USPTO records and patent filings.

Company Badge

USPTO Data Jan 1 1976 - Oct 27 2026

30 Patents

#18 in Schaffhausen

#446 in Switzerland

#21,924 in the World

Schaffhausen, Switzerland

Constructor Technology Ag

Forward Citations = 1

55 inventors:

Stanislav Protasov (28 out of 144 patents)

Serg Bell (28 out of 103 patents)

Nikolay Dobrovolskiy (18 out of 18 patents)

4. Sergey Ulasen (13 out of 28 patents)

5. Laurent Dedenis (12 out of 12 patents)

IDiyas Innovation Intelligence. (2026). Company Patent Portfolio: Constructor Technology Ag. Retrieved from https://idiyas.com/company/function-object-native-code-technology-ag

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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