
On June 26, the AI-driven on-chain contract trading platform AILiquid announced its official launch. The platform is based on the self-developed intelligent public chain Conscious Chain, integrating the AI-CLOB matching engine, AIRC risk control system, and multi-chain cross-chain support, aiming to build a smart financial infrastructure for the future.
The global online launch event held yesterday attracted tens of thousands of participants, including industry KOLs, developers, and members of the crypto community from North America, Southeast Asia, and Europe.
AILiquid proposes a new paradigm trading architecture centered around “smart matching + on-chain execution + AI risk control”, emphasizing the financial collaboration logic of “decentralization, transparency, and intelligence”. Its underlying architecture consists of three core modules:

AILiquid clearly targets the popular platform Hyperliquid in the current on-chain derivatives track, achieving technological breakthroughs and experience upgrades across multiple key dimensions:
1. Native multi-chain asset cross-chain recharge support, covering mainstream public chains such as BTC, Ethereum, BSC, Solana, TON;
2. Flexible setting of 1000x leverage, suitable for different user risk preferences;
3. AI-driven liquidity portfolio management and risk control mechanisms, strengthening system security;
4. On-chain revenue sharing mechanism, 50% of the platform’s daily real earnings are automatically distributed to liquidity providers, publicly and transparently, credited proportionally.
As the core liquidity module of the platform, the Vault system has been opened today, allowing users to directly participate in profit distribution through their held assets. No locking operation is required, and users can receive real platform profits automatically settled by on-chain contracts daily.
The platform offers annualized returns on subsidies for early liquidity mining as high as 36%; at the same time, AILiquid has also launched a referral incentive mechanism of up to 12% to promote community fission and user growth.
AILiquid’s main chain, Conscious Chain, adopts a dual-token economic structure. The core token $CCC is used for transaction fee payments, governance voting, strategy incentives, and cross-chain bridge mapping settlement.
To enhance the value support of CCC, AILiquid will use 50% of the actual revenue from the platform for CCC buybacks, building a long-term deflationary model to continuously promote the development of the token ecosystem.
The AILiquid team members come from institutions such as Tsinghua University, Harvard University, Google, Meta, Bitmain, and OKX, possessing rich experience in blockchain underlying architecture, AI strategy modeling, and the implementation of financial products. The team has the capability to collaborate across markets in China, the United States, and Europe, balancing engineering execution and compliance deployment, and has completed multiple stages of testing, auditing, and community warming-up for the platform.
The AILiquid platform will be gradually released according to functional modules. Based on the planning of the first phase, different profit modules will be gradually opened to continuously maintain the project’s popularity from an operational perspective.
Although the trading mining mechanism of AILiquid will officially launch in mid-July, from now on, the real trading actions of all users on the platform will be automatically recorded and counted towards future mining reward calculations.
The platform adopts a fully transparent design concept, all transaction data is recorded on the chain in real-time, and permanently retained in the on-chain ledger, allowing any user to verify at any time.
The launch of AILiquid marks the accelerated integration of AI and blockchain technology in trading scenarios. Against the backdrop of growing global attention to decentralized financial frameworks, AILiquid is expected to become a new engine in the on-chain contract trading sector, providing users with a fairer, more transparent, and more efficient trading experience.