Asus and Poesis reportedly working to develop self-driving trading agents

Asus and Poesis.ai are reportedly joining forces to build autonomous trading agents, combining Asus’s hardware muscle with Poesis’s AI-driven financial modeling. The systems would leverage Nvidia technology to power agents that can analyze, decide, and execute trades without a human touching the wheel. What Poesis brings to the table Poesis.ai is an AI-driven investment firm founded by Alex Popa with a fairly ambitious mission: building what it calls a “world model for finance.” Think of it as training an AI not just to read market data, but to understand how markets actually work, then letting it make decisions in real time. The firm’s chief scientist, Charles Elkan, previously held roles at Goldman Sachs and Amazon. Poesis’s approach centers on modular AI systems designed specifically for financial applications. Rather than one monolithic model trying to do everything, the architecture breaks trading intelligence into specialized components that can be updated and improved independently. The goal is a self-improving system that gets better at live market operations over time, not just backtesting against historical data. Asus’s AI infrastructure push On the hardware side, Asus ha...