Qinlong Intelligence is Asia-based and early-stage. The system was started because raw chain alerts are too noisy to trust without route checks, blocker reasons, and validation records.
Jos Lee has three years of hands-on on-chain research experience across BSC, SOL, and ETH. His work includes wallet behavior monitoring, risk-control tools, quoteability checks, research dashboards, Python-based data systems, AI agents, and Web3 data tools.
Mechiheart is a former Huawei software development engineer with practical experience in production software systems and project delivery. This background supports Qinlong's focus on reliable data pipelines, inspectable outputs, and practical system design.
Research should show which chain and source produced a signal, what route evidence existed, what failed, and what remains unproven.
A candidate should not move forward just because it looks interesting. It needs route checks, validation records, blocker review, and explicit approval.
Qinlong is research software. It is not positioned as an investment product, advisory service, outcome promise, managed trading service, or current automatic live-order execution system.
Qinlong does not publish unverified customer, financing, outcome, or live-trading claims. Public materials focus on what the system records, where AI is used, and which boundaries remain in place while the company is early-stage.