Exploring Machine Learning Innovations from Top Moscow-Based Technology Companies

With Russia’s deep-rooted history in innovation and science, it comes as no surprise that Moscow, the nation’s capital, is home to a number of successful enterprises operating in the Machine Learning industry. This article showcases such companies that have been achieving remarkable strides by leveraging the power of artificial intelligence, machine learning strategies, and the relentless algorithmic pursuits of their talented teams. As part of our commitment at Futurology, we aim to shine the spotlight on these firms, their founders, and descriptions of their revolutionary work.

Artificial Intelligence, an offshoot of computer science that seeks to create intelligent machines, is evolving at a rapid pace. Meanwhile, machine learning, a core component of AI, is a process wherein the machine improves its performance based on experiences. With the integration of these two, monumental technological progress is being made at an immense pace. These breakthroughs, primarily in software, healthcare, energy, finance sectors, among others, are becoming the basis for fundamental transformation across industries.

The tenacious companies based in Moscow that we are examining today exhibit the kind of ingenuity required to tap into the immense potential that AI and machine learning provides. From augmenting healthcare with predictive algorithms to optimizing traditional business operations, these firms are changing the face of technology and business. Here is a detailed guide to each one of these companies.


Founded by Artem Kukharenko, NTechLab is a company that aims to improve the comfort and safety of the world by developing innovative software products through the use of artificial intelligence algorithms. Possessing an expertise in machine and deep learning, their products carry the potential to be as intelligent as humans and as efficient as machines. For more information, check their LinkedIn and Facebook accounts.


Dbrain, founded by Aleksey Hahunov, Dima Dewinn, Dmitry Matskevich, and Ivan Harshunou, is a company that merges AI technology with a human-in-the-loop approach to create full-stack solutions for document data extraction. With clients able to save 40-100% of their team’s time, Dbrain’s methods have proven to increase conversion, reduce errors and fraud, and ensure tight compliance. Stay updated with them on Facebook and LinkedIn.


Co-founded by Polina Beresneva, Akeso is based on the conception that machine learning can change the face of healthcare. As such, the startup is engaged in the analysis of medical data using machine learning to conduct studies of real clinical practice beneficial for different healthcare organizations. Follow them on Facebook.


Groundbreaking oilfield service company Geosplit, co-founded by Marina Belova, Tatiana Guryanova, and Vasily Belov, empowers the oil and gas industry with its innovative marker well test technologies. Using quantum dots marker-reporters and machine learning algorithms, the company diagnoses and monitors horizontal well inflows accurately and efficiently. To learn more, check their LinkedIn profile.


Founded by Alexander Vorontsov and Ilia Pavlenkov, Jetlex is a highly accurate program utilizing AI for automatic extraction of data from documents and automated entry into various systems. By streamlining the data entry process, Jetlex enables businesses to direct workforce towards more significant or profitable tasks. Stay connected with them on LinkedIn.

Nanosemantics Lab

Founded by Igor Ashmanov, Nanosemantics Lab is a leading artificial intelligence technology developer in Russia. Their AI-powered chatbots, designed to imitate human speech and maintain conversations, have proven extremely effective in various industries. You can follow them on Facebook, LinkedIn and Twitter.


RoboCV, co-founded by Dmitry Smirnov, Sergey Maltsev, and Tigran Shahverdyan, develops intelligent autopilot systems for optimizing warehouse operations. Their flagship product, RoboCV X-MOTION NG, enables offline operation, resulting in significantly increased efficiency in various storage and transportation operations. Stay in the loop with them on Facebook, LinkedIn, and Twitter.


There is a new way to handle receivables, thanks to Yurrobot. Automating the activities related to receivables collection using machine learning and artificial intelligence, this company enables organizations, magistrates, and bailiffs to save considerable time and resources. For updates, follow their Facebook.


Co-founded by Denis Kiselev and Vlad Belyaev, AutoFAQ uses AI to automate customer support, thus enabling companies to handle more tickets without needing additional staff. Their platform includes a self-learning chatbot, chat center for agents, and a mini-RPA module for integrations, among other tools.


Ur-Li, co-founded by Anton Morozov and Valerii Maiushkin, uses AI to judge the risk of debt non-repayment, allowing companies to mitigate risks and make more informed decisions. To learn more about Ur-Li, follow them on Facebook or LinkedIn.


Founded by Sergey Zakharov, CERA provides retail stores with an AI-based analytics platform. It uses AI and computer vision algorithms to automate business processes, helping stores optimize their operations and improve efficiency.

Written by Mark Smith

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