AI-driven Supply Chain Analytics Platform

The Drug Enforcement Administration (DEA) issued a Request for Information (RFI) for an AI-driven supply chain analytics platform. This RFI aims to gather industry information on AI-powered tools to investigate supply chains of precursor chemicals for synthetic drugs like fentanyl and methamphetamine. The DEA seeks a platform with capabilities such as AI-driven lead verification, global supply chain mapping, automated risk assessment, and integration of non-public and commercial data. The platform must be FedRAMP-High authorized, adaptable, and support public-private collaboration. Key outcomes include enhanced intelligence, operational visibility, and proactive risk management. The DEA outlines specific requirements across data coverage, visualization, search, sanctions screening, ownership analysis, criminal network screening, entity resolution, source transparency, collaboration, and financial intelligence. The RFI also details functional, performance, and technical requirements, including a 24/7 uptime, user support, and training. It requests industry responses to specific questions regarding solution capabilities, security, future roadmaps, deployment, pricing, and Rough Order of Magnitude (ROM) estimates. The deadline for responses is April 27, 2026.

AMENDMENT 0001 to RFI 15DDHQ-26-RFI-FAIT03 addresses questions and extends the submission deadline to May 1, 2026, at 2 pm Eastern Time. The RFI focuses on platform capabilities for uncovering Ultimate Beneficial Owners (UBOs) through layered corporate structures, especially in high-risk jurisdictions. It emphasizes the need to automatically flag State-Owned Enterprise (SOE) and Military-Civil Fusion linkages, even with indirect or minority ownership, and trace direct/indirect state ownership with configurable thresholds. The government is in the market research phase, and evaluation criteria are under development. Key considerations include blind testing for entity resolution across diverse languages, a full provenance trail for data points, distinguishing 'derived' vs. 'declared' data, and multi-tier mapping of capital/ownership flows alongside physical goods movement. The platform should also support mapping second and third-tier suppliers, particularly in chemical precursor production regions, and prioritize facility-level data depth. A federated architecture for public-private collaboration, enabling a shared operational picture while protecting sensitive business data, is a core requirement, alongside live multi-agency collaboration with strict role-based access controls.