Russian systems manufacturer with an AI cognitive pilot is projecting a tenfold rise in output by 2024, according to TASS, citing remarks from General Manager Olga Uskova.
Uskova explained that the company faces a major hurdle: scaling the factory and adding new workshops. The expansion carries substantial costs, prompting the firm to scout sites in Tomsk and to explore credit options beginning in January. The aim is to leverage the status of a Russian backbone organization to accelerate financing and development. Plans call for two additional workshops as part of the growth strategy. With current annual capacity of up to 5,000 units, the business expects to reach as many as 50,000 units per year after the expansion, a tenfold increase that would significantly augment production capabilities.
In addition to manufacturing gains, the leadership highlighted the potential of AI systems to improve agricultural outcomes. It is claimed that artificial intelligence can cut crop losses by as much as 13 percent and shorten harvest times by nearly one quarter, underscoring how AI-driven automation can impact efficiency across industries. The company has outlined an investment envelope of 2.9 billion rubles for the next three years to support R&D, equipment upgrades, and factory modernization, signals of a strategic push to deepen competitiveness and resilience.
Public sentiment toward AI appears supportive, with recent polls indicating a majority trust in AI concepts among the population. These attitudes, together with demonstrated productivity gains, help frame AI-enabled manufacturing and agricultural applications as meaningful contributors to economic performance and innovation ecosystems. Analysts note that the upcoming expansion coincides with broader regional and national efforts to strengthen industrial autonomy and technology leadership in high-value sectors. The strategy emphasizes scalable production, improved process control, and the integration of intelligent automation to optimize throughput, reduce downtime, and enhance quality assurance across operations, both in manufacturing floors and supply chain workflows.