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    Home LayerZero, SEI, Selini Capital founders back AI engine for crypto discovery
    Crypto

    LayerZero, SEI, Selini Capital founders back AI engine for crypto discovery

    John SmithBy John SmithJune 9, 2025No Comments2 Mins Read
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    TrueNorth, backed by several prominent founders and venture capital firms, is building AI agents to help users discover new crypto tokens.

    Finding promising crypto projects remains a challenge for both new and experienced traders. On Monday, June 9, the founders of LayerZero, SEI, Selini Capital, Virtuals, Plume, and Presto Labs announced backing an AI project for crypto discovery.

    The current user journey for finding new tokens sucks.

    Hours wasted. Projects rugged. Money lost.

    TrueNorth is here to change that for good.

    Stay tuned 🤝

    — TrueNorth (@get_truenorth) June 9, 2025

    The project, founded by WOO COO Willy Chuang and ex-Temasek AI tech investor Alex Lee, raised $1 million to develop its AI engine. According to Chuang, the engine will enable hyper-personalized information, which is only possible with generative AI.

    “We see true AI agents becoming the foundation for how people invest in crypto for the future. The market is only getting more complex, and our goal is to cut through the noise with a hyper-personalized engine powered by a generative user interface (known as Gen UI) that adapts to each user’s style and behavior in real-time,” Willy Chuang, TrueNorth.

    Crypto trading needs to be simplified: Chuang

    Chuang explained that TrueNorth’s vision is to have complex, multi-layered AI models running in the background. Using reinforcement learning, these models aim to come “infinitely closer” to transforming a user’s intent into actionable outcomes.

    “Having led crypto exchanges and worked closely with a broad range of traders and investors, I’ve seen how fragmented data and constant noise creates friction in decision-making. TrueNorth is built to simplify this, delivering personalized insights that evolve with each user so they can move faster with more confidence,” Chuang, TrueNorth.

    Still, the announcement comes amid growing skepticism around AI capabilities. Just days earlier, Apple published a research paper questioning the ability of large language models to solve complex problems. While many popular LLMs do well in solving simple tasks, all of them completely break down when it comes to solving complex problems.





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