Neural Networks Take Control of Construction
Russian construction holding Titan-2 has increased labor productivity at its construction sites through the deployment of the domestic AI platform SolutAtomic. The system was launched in February 2024 at the Center for Collective Use “Siberian Circular Photon Source” (SKIF) in the science city of Koltsovo in the Novosibirsk Region.
The Center for Collective Use “Siberian Circular Photon Source” (SKIF) is a megascience-class project – a fourth-generation synchrotron radiation source designed for advanced research in chemistry, physics, materials science, biology, microelectronics and medicine. No synchrotron radiation sources have been built in Russia for more than 30 years, making the project strategically important, while construction timelines remain tight.
The deployment of the SolutAtomic system has become a key factor in optimizing labor resources on the project: over two years, more than 5,000 workers have been integrated into AI-based monitoring, productivity has increased by over 20%, and construction phases are being completed on schedule. Overall project readiness has exceeded 97%, with builders confident the facility will be commissioned in the first half of 2026.
Titan-2 is one of Russia’s largest construction companies, delivering nuclear and thermal power plants as well as oil, gas and chemical industry facilities both domestically and internationally. The company plans to scale the SolutAtomic AI platform across additional projects, including the construction of new nuclear power plants and industrial facilities in Russia and abroad, with the aim of improving productivity and strengthening its position in the sector.
AI Workforce Monitoring Moves to Industrial Sites
SolutAtomic is an intelligent IT platform for monitoring physical labor, developed specifically for the nuclear industry. The product combines industrial Internet of Things technologies with artificial intelligence, accelerating project delivery through precise tracking of operations and process optimization. The system can be applied across a wide range of physical tasks, including rebar tying, welding and electrical installation, and does not require complex on-site infrastructure deployment.
Data collection is enabled by wearable devices – smart watches – that track worker movements, recognize specific actions and categorize time into active work, movement and forced downtime. Algorithms generate detailed reports on individual employees, teams and contractors. Management gains a tool to address root causes of delays, such as material shortages, lengthy work permit approvals or waiting for adjacent teams. This improves efficiency for both in-house staff and outsourced personnel. Transparent monitoring across all construction stages supports more effective use of working time and shorter project delivery timelines.
Future Technologies on a Science Megaproject
The deployment of SolutAtomic at one of the most large-scale and technologically complex infrastructure projects sends a clear signal to Russia’s IT sector. It confirms sustained demand for domestic solutions in computer vision, industrial AI and workforce analytics in heavy industry, where efficiency is measured through reduced downtime and strict adherence to schedules.
Titan-2 is already using the SolutAtomic platform at the construction sites of the Akkuyu nuclear power plant in Turkey, the El Dabaa nuclear power plant in Egypt, and new units of the Leningrad nuclear power plant near Saint Petersburg. This experience creates conditions for scaling the product alongside exports of Russian engineering expertise: proven workforce monitoring solutions can be deployed in international projects, particularly in the nuclear sector, where Titan-2 has already established trust with customers.
Heavy Industry Shifts Toward Workforce Analytics
In Russia, Solut technology has the potential to become a standard for digital management at large construction sites, particularly in the context of labor shortages and tight project timelines. The regulatory environment is supportive: since 2025, the use of building information modeling has become mandatory for shared construction projects, while DOM.RF and the Ministry of Construction have approved registries of domestic AI solutions.
The universal B2B solution Solut has already been deployed and demonstrated effectiveness across the real economy, including construction, retail, housing and utilities, metallurgy, energy and machine building. Clients include PIK Group, X5 Retail Group, LeaderTeam, MRSC North-West and UMMC. For example, a pilot deployment at three PIK-Industry sites using two-level task recognition delivered productivity gains of more than 20%. This practical outcome aligns with the broader industry trend toward digitalization. For instance, Moscow has already made the use of cameras and sensors at construction sites mandatory. While regulatory focus currently centers on safety, the adoption of machine-based monitoring confirms its transition into an infrastructure standard.
Against this backdrop, Solut’s AI workforce monitoring represents the next step toward digital maturity, evolving from passive observation to data-driven project management.
