DeAgentAI is quite straightforward this time. They didn’t mess around with fancy, flashy PPT narrative—straight away they launched an AIA ecosystem fund, and in the first batch of seed rounds they already rolled out two things: AliceAI + ASIC AI chips.

AliceAI is simple and direct: it gives you judgments directly in TG (for crypto, sports, politics, etc.), can also automatically follow trades, manage positions, and all decision orders recorded on-chain so you can verify them. It’s not just painting big promises—it’s something you can actually open in TG and use. For ordinary people, the biggest annoyance is information asymmetry; it directly compresses that into a single, verifiable sentence-based conclusion.

Putting these two things together, you’ll see that the top part is about catching real application deployment (so users can truly use it and are willing to use it), while the bottom part solves the root pain points (so AI Agents can run and run for a long time). Many infrastructure projects ultimately get stuck here—either no one uses them, or no one can afford to use them. DeAgentAI uses its fund as the market maker, pushing both the applications and the underlying hardware forward together.
Right now, the biggest problem with AI Agents can be summed up in one sentence: it’s not that the models aren’t strong enough—it’s that the costs are too high. If you want it to run strategies and execute operations 24 hours a day, without cheap compute it simply can’t hold up. So investing in chips isn’t for show—it’s an unavoidable hard nut to crack. Overall, it’s shifting step by step from “the foundational tools for everyone” to “also participating in building the closed loop and sharing the cake.” $AIA