Unified Liquidity: AIUSD uses AI to connect on-chain and off-chain assets.

After operating in stealth mode with virtually no public exposure for a long time, AIUSD has now officially debuted with achievements that many startups might only reach after years of operation: its system has achieved an annualized trading volume of $1 trillion and has built a complete AI system capable of autonomously transferring, routing, and trading assets throughout the entire cryptocurrency and stablecoin ecosystem. AIUSD completed a nearly eight-figure pre-seed funding round in its early stages, and the company says it is currently preparing for a seed round and has received a large number of proactive investment intentions.

AIUSD positions itself as the creator of "Agentic Money," a new type of AI-native financial infrastructure that enables users to manage assets through natural language commands via AI agents. The company states that AIUSD users no longer need to deal with fragmented inter-chain systems, incompatible exchange APIs, or cumbersome brokerage APIs; instead, they interact directly with a unified intelligent system that handles all processes in the background.

Bill Sun, co-founder of AIUSD, former DeepMind researcher, and investment manager at Millennium WorldQuant, said: “We are building an AI-first financial layer on top of a highly fragmented system. Cross-chain execution and routing should be as straightforward as function calls, and now that has become a reality.”

An AI layer for all assets

At the core of AIUSD is an AI engine that treats the entire blockchain ecosystem as a single liquidity pool. Regardless of whether assets are located on Ethereum, Solana, BSC, centralized exchanges, or tokenized brokerage platforms, the system can autonomously execute complex strategies.

Yao Meng, co-founder and an early practitioner in the field of algorithmic trading, said their vision is clear: "Users and AI agents should have a unified balance that can be used in all kinds of scenarios. This is true native interoperability."

During its private phase, AIUSD's yield and execution platform had been running for 2.5 years, during which the algorithmic strategy had zero monthly drawdowns and an annualized trading volume of $1 trillion.

A financial system built for the AI era, supported by top crypto investors.

As the number of AI agents rapidly increases, AIUSD believes the financial system must evolve in tandem. The company predicts that the next phase of global business activity will no longer rely on human input of commands through terminals, but rather on autonomous AI making numerous micro-decision-making processes every second.

AIUSD's nearly eight-figure pre-seed round is just the beginning; the company stated it received very strong investment interest before the seed round. Its early backers include investors who have invested in Anthropic, Perplexity, TradingView, Sequoia US Scout Fund, a16z Scout Fund, and members of Tesla's FSD AI team, as well as several well-known entrepreneurs, including Crux founder William Freiberg, Cresta AI's Tim Shi, and Lime founder Brad Bao. Two private equity funds managing billions of dollars also participated in the investment.

William Freiberg, co-founder of Crux and an early investor in AIUSD, said: “AI agents will become important new economic players, and they need financial infrastructure that matches their way of operating. The appeal of AIUSD is that it is not just another trading instrument, but a layer of infrastructure for global execution and settlement that can serve both humans and machines.”

Founded by veterans of AI research and the crypto market

AIUSD was founded by Yao Meng and Bill Sun, both of whom have long-standing experience in crypto trading and artificial intelligence research.

Yao Meng has been involved in the crypto industry since 2011, initially working in blockchain mining, and later participating in early blockchain projects and exchange operations. Over the past decade, he has experienced and navigated numerous major industry events, such as the Mt. Gox bankruptcy proceedings, the FTX crash, and the recent 10/11 liquidations, and has run arbitrage, high-frequency trading, and quantitative strategies on major tokens and exchanges. He has also managed large proprietary positions during periods of high market volatility, including holding approximately one-fifth of the circulating supply of Dogecoin at one point as part of a Delta-neutral strategy.

Bill Sun holds a Ph.D. in Mathematics from Stanford University and participated in early research at Google Brain (now DeepMind) before the formal proposal of the Transformer architecture. He has conducted quantitative research at Citadel, Point72 Cubist, and Millennium WorldQuant, managing a sizable quantitative equity portfolio at WorldQuant. His academic research focuses on the mathematical foundations and structural behavior of deep learning models, co-supervised by two key figures in the field of artificial intelligence: Stephen Boyd, a member of the National Academy of Engineering and head of BlackRock AI Lab, and David Donoho, a member of the National Academy of Sciences and former researcher at Renaissance Technologies (a recipient of the Gauss Prize, Wiener Prize, and Shaw Prize). Sun has also been involved in research on Bitcoin, smart contract platforms, and early RWA-supported stablecoins. He is also the co-founder of PIN AI, a decentralized protocol for personalized AI agent networks and the economy, where he currently serves as Chief Scientist.

The two founders stated that AIUSD was designed based on their cross-disciplinary experience in AI, crypto trading, and quantitative research, with the goal of building a financial infrastructure that can support both human and machine participation.

AIUSD's long-term vision: To build an AI-driven financial operating system.

The founders of AIUSD see this product as the starting point for building a "financial operating system for both humans and AI agents." The company is developing multi-layered interfaces, including a consumer-grade conversational wallet and an SDK for developers that adapts to AI agents. The underlying execution layer in its roadmap will be responsible for account abstraction across different markets, cross-chain routing, optimal execution, and risk control.

In the future, AIUSD plans to integrate traditional assets, real-world assets (RWA), and tokenized stocks into a single programmable account system, supporting continuous settlement and built-in compliance mechanisms. The founders believe that as AI models begin to pay for computing power, data, and services without human intervention, financial activities will gradually shift towards machine-to-machine transactions. In this scenario, AIUSD will simultaneously serve as an intentional financial interface for consumers and a programmable settlement layer for an autonomous system.