The Russian Federal Antimonopoly Service (FAS) has launched the GIS Anticartel system, which utilizes artificial intelligence to identify collusive bidding in public procurement. This marks the first time AI has been deployed for such purposes in Russia, with the technology analyzing large datasets to detect both established and emerging patterns of market manipulation.
Following the implementation of the AI-driven system, the FAS has initiated 12 antitrust cases. Currently, 31 investigations are underway, and 117 additional cases are undergoing verification by regional authorities. The AI has flagged suspicious activity in sectors including building maintenance for educational institutions and bridge capital repairs.
The development of the GIS Anticartel system faced significant delays, including two failed procurement attempts. A contract with Advanced Transformation Consulting was terminated due to poor performance, and a subsequent tender was suspended in August 2024 following a complaint from the National Center for Informatization regarding unrealistic deadlines.
In July 2025, the FAS initiated a second phase of development with a budget of 241.4 ₽ million, targeting completion by December 20, 2025. This phase focused on integrating machine learning algorithms to automatically monitor 100% of open tenders on the Unified Information System and the GIS Torgi platform for signs of collusion.
The system is designed to support, rather than replace, human specialists who verify all potential violations identified by the AI. Additionally, the platform provides a self-assessment service via the Gosuslugi portal, allowing participants in the contract system to evaluate their own risk levels and receive recommendations for compliance.