Smart Engines specializes in artificial intelligence research – with particular expertise in computer vision software. Our class-leading AI-based recognition systems support public and private organizations worldwide by significantly improving business processes through superior document scanning and analysis. We combine a customer-first mindset, a relentless focus on research and development, and a determination to leave expectations in the wake of our cutting-edge innovation. The highest performance, powered by science.
Smart Engines currently employs more than 60 researchers and engineers, 16 of whom hold a PhD degree with the highest honours. One of our founders, Professor Vladimir L. Arlazarov, developed the computer program Kaissa to become the first World Computer Chess Champion. Under his leadership, the team brings together unrivalled expertise in fields such as image processing, technical vision, machine learning, graph theory, game theory, document processing and optimisation.
What’s the goal? It’s quite simple, to apply state-of-the-art scientific thinking to the creation and perfection of software that effortlessly handles the most demanding real-world challenges. Smart Engines technological platform GreenOCR® is supported by the United Nations Global Compact Initiative (UNGC). The company’s software is environmentally friendly and is aimed at reducing carbon footprint and energy consumption of edge devices, following the Green AI initiative.
AI-driven Smart Engines products for mobile, desktop and web applications are designed to scan ID cards, passports, driver’s licenses, MRZ, bank cards, barcodes, business documents, and are compliant with GDPR and CCPA.
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Ph.D. in Technical Sciences on Development, Application of Recognition Systems and Data Mining. Author of over 60 patents and scientific publications on AI. Has been working in the IT field since 1997, leading and managing over 70 projects related to creation and embedding of document recognition systems for Pension Funds, Ministries, Banks, Public Transportation and Oil & Gas companies. Several generations of industrial OCR and document capture systems were developed under his leadership, including the industrial system for identity documents recognition.
Contact: vva@smartengines.com
Science-related questions: vva777@ieee.org
Worldwide known scientist, Professor Vladimir L. Arlazarov is a member-correspondent of the prestigious Russian Academy of Sciences and the Head of System Programming Lab of the Institute of Systems Analysis FRC CSC RAS. His research interests relied on system programming, game theory and artificial intelligence. He has developed the IBM based Kaissa, the world’s first Computer Chess Champion. The author and inventor of the method, which became a classic, known as “Method of Four Russians” – a computer science technique for speeding up algorithms involving Boolean matrices. Vladimir L. Arlazarov is the founding father of Smart Engines. More detailed information can be found on Wikipedia.
The Technical Director of Smart Engines. Associate Professor, Ph.D. in Mathematics & Physics on Algorithms for Colour Segmentation Applicable for Scenes with Complex Illumination. Has worked in South Korea at the Samsung Advanced Institute of Technology (SAIT). Leading engineer in image processing, machine vision and pattern recognition fields, he is also the author of more than 180 scientific publications and a charismatic university lecturer. Creative scientific visionary, Dmitry has invented several systems and technologies for internal passport recognition and video classification of vehicles.
Master in Applied Mathematics & Physics from MIPT. Expert in bespoke project coordination, leads integration projects with emphasis on human-computer interaction, document processing and automation. Since 2010 he has been overseeing the company analysis and information processing.
MSc Metallurgy engineering and MSc Corporate Finance – responsible for the company’s accounting, financial planning and analysis, investor relations, internal audit and tax functions. Nikita has been working closely with Smart Engines senior leadership for more than 7 years. Over the last decade he took part in many projects as a Finance Controller.
Leading researcher, Ph.D. in Mathematics & Physics on Direct and Inverse Problems in X-ray Microscopy and Tomography. Has worked with an international group of scientists, which was involved in a search for small life forms in extraterrestrial rocks carried out at the European Synchrotron Radiation Facility in France. Research interests include tomographic reconstruction for various applications, various experimental conditions and various scales. Current goals include achieving the highest degree of reconstruction accuracy under low radiation doses. The author of more than 150 scientific publications and deputy head of the Smart Engines base department in Moscow Institute of Physics and Technology.
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