Within Chinese-language money laundering networks, intermediaries and branded services act as the primary coordinators of value flows and participant relationships. Reporting describes brokers referred to as “running point” as central operators who oversee transaction logistics, recruit or direct counterparties, and ensure funds move through the network’s chosen channels. Branded offerings such as “Black U” are named as structured service lines that sell or facilitate the movement of tainted cryptocurrency, but available descriptions of their internal operations are limited. The sources emphasize the networks’ reliance on named roles and products to organize activity rather than on a single centralized operator.
Analysts identify a modular ecosystem that includes roughly six core service types and uses about 1,800 active wallets to route funds, with reputation-mediated, Telegram-based “guarantee platforms” acting as escrow and matchmaking hubs that connect buyers and sellers of laundering services. These structural features are associated with the broader increase in illicit on-chain flows—from roughly $10 billion in 2020 to more than $82 billion in 2025—and with Chinese-language networks processing about $16.1 billion (approximately 20%) of known laundering activity in 2025 (see reporting for detailed figures).
Operationally, the networks maintain resilience by building redundancy into both communications channels and wallet sets. When enforcement actions or platform disruptions affect a specific messaging group or service provider, vendors typically re-establish operations on alternative groups, new guarantee platforms, or different wallet clusters; this rapid migration limits the long-term effect of single-channel takedowns. Reputation functions provided by guarantee platforms serve both to escrow funds during transactions and to mediate trust among counterparties, enabling large volumes of illicit value to be processed even as individual vendors or groups are lost or moved.
Significant gaps remain in the public record about ownership, legal registration, and a granular technical taxonomy of each service type. The available sources do not provide a comprehensive registry of service providers, full technical specifications for offerings like “Black U,” or detailed ownership records for the named platforms and brokers. That opacity—combined with the networks’ decentralized and modular design—creates persistent investigative challenges for enforcement and compliance practitioners seeking to trace end-to-end flows and to attribute responsibility for laundering operations.
